def make_objects(self,chain):
for epitope in self.interest_epitope:
if self.interest_epitope[epitope]:
name = epitope
selection = ",".join(str(x) for x in self.interest_epitope[epitope])
cmd.select("{}_{}".format(chain.lower(),name),"chain {} and resi {}".format(chain,selection))
cmd.group("chain_{}".format(chain),"{}_*".format(chain.lower()))
def testGroupAction(self):
self._make_objects()
sele = 'g1'
cmd.group(sele, 'm*')
m = menu.group_action(cmd, sele)
d = self._to_dict(m)
self.assertTrue('rename group' in d)
def testDoNotDuplicateGroup(self):
cmd.pseudoatom("m3")
cmd.group("g1", "m3")
cmd.load("PYMOL-772-example.pse.gz", partial=1)
v = cmd.get_names()
self.assertEqual(v, ["m3", "g1", "m1", "m2"])
def loadall(pattern, group="", quiet=1, **kwargs):
"""
DESCRIPTION
Load all files matching given globbing pattern
"""
import glob, os
filenames = glob.glob(cmd.exp_path(pattern))
for filename in filenames:
if not quiet:
print " Loading", filename
cmd.load(filename, **kwargs)
if len(group):
if kwargs.get("object", "") != "":
print " Warning: group and object arguments given"
members = [kwargs["object"]]
else:
from pymol.cmd import file_ext_re, gz_ext_re, safe_oname_re
members = [
gz_ext_re.sub("", file_ext_re.sub("", safe_oname_re.sub("_", os.path.split(filename)[-1])))
for filename in filenames
]
cmd.group(group, " ".join(members))
def testDirtyDelete(self):
cmd.pseudoatom('m1')
cmd.pseudoatom('m2')
cmd.group('g1', 'm1 m2')
cmd.set_wizard(MockWizard())
cmd.draw()
v = cmd.get_object_list('(g1)')
self.assertEqual(v, ['m1', 'm2'])
def testGroup(self):
cmd.pseudoatom('m1')
cmd.pseudoatom('m2')
cmd.pseudoatom('m3')
m_list = []
cmd.group('g1', 'm1 m2')
cmd.iterate('g1', 'm_list.append(model)', space=locals())
self.assertItemsEqual(m_list, ['m1', 'm2'])
m_list = []
cmd.ungroup('m2')
cmd.iterate('g1', 'm_list.append(model)', space=locals())
self.assertItemsEqual(m_list, ['m1'])
def _load_example(self):
# object in hidden group
cmd.fragment('ile', 'm1')
cmd.fragment('his', 'm2')
cmd.group('g1', 'm1')
cmd.disable('g1')
# testable styling
self.ambientOnly()
cmd.orient()
cmd.color('red', 'm1')
cmd.color('blue', 'm2')
cmd.show_as('spheres')
def test(self):
names_ungrouped = ['a0', 'a1', 'b0', 'b1', 'c0', 'c1', 'g1']
names_grouped = ['a0', 'a1', 'c0', 'c1', 'b0', 'g1', 'b1']
for name in names_ungrouped[:-1]:
cmd.pseudoatom(name)
cmd.group(names_ungrouped[-1])
self.assertEqual(cmd.get_names(), names_ungrouped)
cmd.group('g1', 'b*')
cmd.order('b0 g1', location="upper")
self.assertEqual(cmd.get_names(), names_grouped)
def test(self):
cmd.pseudoatom('m1')
cmd.pseudoatom('m2')
cmd.pseudoatom('m3')
cmd.group('g1', 'm1')
cmd.disable('g1')
cmd.disable('m2')
cmd.ray(1, 1) # force scene update
cmd.scene('s1', 'store')
self._test_recall()
cmd.disable('*')
self._test_recall()
cmd.enable('*')
self._test_recall()
def get_resis_from_resn(target_sel="all", resn="lys", atom_name="CA", verb=True):
# Make uppercase
resn = resn.upper()
# Check if one letter residue name
if len(resn) == 1:
resn = aa_1_3[resn]
atom_name = atom_name.upper()
# Prepare for storing and make expression
stored.infolist = []
# resv (int): the residue identifier (residue number), ss (str): secondary structure, name (str): the atom name
expression = "stored.infolist.append([model, chain, resv, resn, ss, name])"
# Iterate over selection, storing info
cmd.iterate(target_sel, expression)
# Store info
return_list_resn_resi = []
return_list_resn_resi_sel = []
group = "Find_%s_%s"%(resn, target_sel)
for info in stored.infolist:
cur_model, cur_chain, cur_resv, cur_resn, cur_ss, cur_name = info
if cur_resn == resn and cur_name == atom_name:
# Convert residue name to one letter
cur_aa_3_1 = aa_3_1[resn]
# Do selection and group
#sel_str = "/%s/%s//%s"%(cur_model, cur_chain, cur_resv)
sel_str = "%s and chain %s and resi %s"%(cur_model, cur_chain, cur_resv)
resn_resi = "%s%s"%(cur_aa_3_1, cur_resv)
sel_str_text = "%s_%s"%(group, resn_resi)
cmd.select(sel_str_text, sel_str)
# Store
return_list_resn_resi.append(resn_resi)
return_list_resn_resi_sel.append(sel_str)
# If verbose
if verb:
print("%s , sel: %s"%(resn_resi, sel_str))
# Group selections
cmd.group(group, "%s_*"%group)
cmd.select("%s_sel"%group, "%s_*"%group)
cmd.show("lines", group)
# If verbose
if verb:
print("\nThere are %i hits, in target_sel=%s, with resn=%s\n"%(len(return_list_resn_resi), target_sel, resn))
return return_list_resn_resi, return_list_resn_resi_sel
def toGroup(groupName,sel,prefix="",delOrig=True):
"""
DESCRIPTION
toGroup will take a multistate object and extract it
to a group with N objects all in state #1. It essentially
performs the following:
split_states myObj, prefix=somePrefix
group newGroup, somePrefix*
delete myObj
PARAMETERS:
groupName (string)
The name of the group to create
sel (string)
The name of the selection/object from which
to make the group
prefix (string)
The prefix of the names of each of split states.
For example, if your prefix is ''obj'' and is in
states 1 through 100 then the states will be labeled
obj1, obj2, obj3, ..., obj100.
delOrig (string/boolean)
If true then delete the original selection, otherwise not.
RETURN
Nothing, it makes a new group.
"""
if prefix=="":
prefix=sel + "_grouped"
cmd.split_states(sel, prefix=prefix)
cmd.group(groupName,prefix+"*")
if delOrig:
cmd.delete(sel)
def loadall(pattern, group='', quiet=1, **kwargs):
'''
DESCRIPTION
Load all files matching given globbing pattern
'''
import glob, os
filenames = glob.glob(cmd.exp_path(pattern))
for filename in filenames:
if not quiet:
print ' Loading', filename
cmd.load(filename, **kwargs)
if len(group):
if kwargs.get('object', '') != '':
print ' Warning: group and object arguments given'
members = [kwargs['object']]
else:
from pymol.cmd import file_ext_re, gz_ext_re, safe_oname_re
members = [gz_ext_re.sub('', file_ext_re.sub('',
safe_oname_re.sub('_', os.path.split(filename)[-1])))
for filename in filenames]
cmd.group(group, ' '.join(members))
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"16.3969993591": [], "16.3969993591_arrows": []}
def spl_extract():
for name in cmd.get_names("all"):
#if name in ['5zwo', '5gm6', '5lj3', '5mps', '6exn', '5ylz', '5y88', '3jb9', '6icz', '6ff7', '5yzg', '5xjc', '5mq0', '5lj5', '6g90', '6n7r', '6n7p']: # this should be auto
print(" \ Extracting mode for %s" % name)
if '5zwo' in name.lower():
cmd.extract("PRP8_B5zwo", "chain A and 5zwo")
cmd.extract("BRR2_B5zwo", "chain D and 5zwo")
cmd.extract("LEA1_B5zwo", "chain o and 5zwo")
cmd.extract("Msl1_B5zwo", "chain p and 5zwo")
cmd.extract("SNU114_B5zwo", "chain C and 5zwo")
cmd.extract("U2_B5zwo", "chain H and 5zwo")
cmd.extract("U5_B5zwo", "chain B and 5zwo")
cmd.extract("U6_B5zwo", "chain F and 5zwo")
cmd.extract("U4_B5zwo", "chain I and 5zwo")
cmd.extract("Intron_B5zwo", "chain G and 5zwo")
cmd.extract("PRP4_B5zwo", "chain K and 5zwo")
cmd.extract("PRP31_B5zwo", "chain L and 5zwo")
cmd.extract("PRP6_B5zwo", "chain N and 5zwo")
cmd.extract("PRP3_B5zwo", "chain J and 5zwo")
cmd.extract("DIB1_B5zwo", "chain E and 5zwo")
cmd.extract("SNU13_B5zwo", "chain M and 5zwo")
cmd.extract("LSM8_B5zwo", "chain z and 5zwo")
cmd.extract("LSM2_B5zwo", "chain q and 5zwo")
cmd.extract("LSM3_B5zwo", "chain r and 5zwo")
cmd.extract("LSM6_B5zwo", "chain x and 5zwo")
cmd.extract("LSM5_B5zwo", "chain t and 5zwo")
cmd.extract("LSM7_B5zwo", "chain y and 5zwo")
cmd.extract("LSM4_B5zwo", "chain s and 5zwo")
cmd.extract("SNU66_B5zwo", "chain O and 5zwo")
cmd.extract("BUD13_B5zwo", "chain Y and 5zwo")
cmd.extract("Cus1_B5zwo", "chain 2 and 5zwo")
cmd.extract("HSH155_B5zwo", "chain 1 and 5zwo")
cmd.extract("HSH49_B5zwo", "chain 4 and 5zwo")
cmd.extract("PML1_B5zwo", "chain Z and 5zwo")
cmd.extract("PRP11_B5zwo", "chain v and 5zwo")
cmd.extract("RDS3_B5zwo", "chain 5 and 5zwo")
cmd.extract("RSE1_B5zwo", "chain 3 and 5zwo")
cmd.extract("SNU17_B5zwo", "chain X and 5zwo")
cmd.extract("Ysf3_B5zwo", "chain 6 and 5zwo")
cmd.extract("SMB1_1_B5zwo", "chain a and 5zwo")
cmd.extract("SMB1_2_B5zwo", "chain P and 5zwo")
cmd.extract("SMB1_3_B5zwo", "chain h and 5zwo")
cmd.extract("SME1_1_B5zwo", "chain e and 5zwo")
cmd.extract("SME1_2_B5zwo", "chain T and 5zwo")
cmd.extract("SME1_3_B5zwo", "chain i and 5zwo")
cmd.extract("SMX3_1_B5zwo", "chain f and 5zwo")
cmd.extract("SMX3_2_B5zwo", "chain U and 5zwo")
cmd.extract("SMX3_3_B5zwo", "chain j and 5zwo")
cmd.extract("SMX2_1_B5zwo", "chain g and 5zwo")
cmd.extract("SMX2_2_B5zwo", "chain V and 5zwo")
cmd.extract("SMX2_3_B5zwo", "chain k and 5zwo")
cmd.extract("SMD3_1_B5zwo", "chain d and 5zwo")
cmd.extract("SMD3_2_B5zwo", "chain S and 5zwo")
cmd.extract("SMD3_3_B5zwo", "chain l and 5zwo")
cmd.extract("SMD1_1_B5zwo", "chain b and 5zwo")
cmd.extract("SMD1_2_B5zwo", "chain Q and 5zwo")
cmd.extract("SMD1_3_B5zwo", "chain m and 5zwo")
cmd.extract("SMD2_1_B5zwo", "chain c and 5zwo")
cmd.extract("SMD2_2_B5zwo", "chain R and 5zwo")
cmd.extract("SMD2_3_B5zwo", "chain n and 5zwo")
cmd.extract("PRP9_B5zwo", "chain u and 5zwo")
cmd.extract("PRP21_B5zwo", "chain w and 5zwo")
cmd.extract("SNU23_B5zwo", "chain W and 5zwo")
cmd.extract("PRP38_B5zwo", "chain 0 and 5zwo")
cmd.extract("SPP381_B5zwo", "chain 9 and 5zwo")
cmd.set_name("5zwo", "unknown_other_B5zwo")
cmd.group("B5zwo", "*_B5zwo")
cmd.do("order *, yes")
if '5gm6' in name.lower():
cmd.extract("PRP8_Ba5gm6", "chain A and 5gm6")
cmd.extract("BRR2_Ba5gm6", "chain B and 5gm6")
cmd.extract("BUD31_Ba5gm6", "chain T and 5gm6")
cmd.extract("CEF1_Ba5gm6", "chain c and 5gm6")
cmd.extract("CWC15_Ba5gm6", "chain S and 5gm6")
cmd.extract("CWC2_hRBM22_Ba5gm6", "chain R and 5gm6")
cmd.extract("CWC21_Ba5gm6", "chain X and 5gm6")
cmd.extract("CWC22_Ba5gm6", "chain Z and 5gm6")
cmd.extract("PRP45_Ba5gm6", "chain P and 5gm6")
cmd.extract("CDC40_Ba5gm6", "chain n and 5gm6")
cmd.extract("PRP19_Ba5gm6", "chain f and 5gm6")
cmd.extract("PRP46_Ba5gm6", "chain O and 5gm6")
cmd.extract("SLT11/ECM2_Ba5gm6", "chain Q and 5gm6")
cmd.extract("SNT309_Ba5gm6", "chain t and 5gm6")
cmd.extract("SNU114_Ba5gm6", "chain C and 5gm6")
cmd.extract("SYF2_Ba5gm6", "chain f and 5gm6")
cmd.extract("SYF1_Ba5gm6", "chain v and 5gm6")
cmd.extract("U2_Ba5gm6", "chain 2 and 5gm6")
cmd.extract("U5_Ba5gm6", "chain 5 and 5gm6")
cmd.extract("U6_Ba5gm6", "chain 6 and 5gm6")
cmd.extract("Intron_Ba5gm6", "chain M and 5gm6")
cmd.extract("Exon_Ba5gm6", "chain N and 5gm6")
cmd.extract("BUD13_Ba5gm6", "chain W and 5gm6")
cmd.extract("CLF2_Ba5gm6", "chain d and 5gm6")
cmd.extract("Cus1_Ba5gm6", "chain H and 5gm6")
cmd.extract("CWC24_Ba5gm6", "chain a and 5gm6")
cmd.extract("CWC27_Ba5gm6", "chain b and 5gm6")
cmd.extract("HSH155_Ba5gm6", "chain G and 5gm6")
cmd.extract("HSH49_Ba5gm6", "chain e and 5gm6")
cmd.extract("PML1_Ba5gm6", "chain U and 5gm6")
cmd.extract("PRP11_Ba5gm6", "chain I and 5gm6")
cmd.extract("PRP2_Ba5gm6", "chain Y and 5gm6")
cmd.extract("RDS3_Ba5gm6", "chain J and 5gm6")
cmd.extract("RSE1_Ba5gm6", "chain F and 5gm6")
cmd.extract("SNU17_Ba5gm6", "chain V and 5gm6")
cmd.extract("Ysf3_Ba5gm6", "chain K and 5gm6")
cmd.set_name("5gm6", "unknown_other_Ba5gm6")
cmd.group("Ba5gm6", "*_Ba5gm6")
cmd.do("order *, yes")
if '5lj3' in name.lower():
cmd.extract("PRP8_C5lj3", "chain A and 5lj3")
cmd.extract("BUD31_C5lj3", "chain L and 5lj3")
cmd.extract("CEF1_C5lj3", "chain O and 5lj3")
cmd.extract("CLF1_C5lj3", "chain S and 5lj3")
cmd.extract("CWC15_C5lj3", "chain P and 5lj3")
cmd.extract("CWC16/YJU2_C5lj3", "chain D and 5lj3")
cmd.extract("CWC2_hRBM22_C5lj3", "chain M and 5lj3")
cmd.extract("CWC21_C5lj3", "chain R and 5lj3")
cmd.extract("CWC22_C5lj3", "chain H and 5lj3")
cmd.extract("CWC25_C5lj3", "chain F and 5lj3")
cmd.extract("ISY1_C5lj3", "chain G and 5lj3")
cmd.extract("LEA1_C5lj3", "chain W and 5lj3")
cmd.extract("Msl1_C5lj3", "chain Y and 5lj3")
cmd.extract("PRP45_C5lj3", "chain K and 5lj3")
cmd.extract("PRP46_C5lj3", "chain J and 5lj3")
cmd.extract("SLT11/ECM2_C5lj3", "chain N and 5lj3")
cmd.extract("SNU114_C5lj3", "chain C and 5lj3")
cmd.extract("SYF1_C5lj3", "chain T and 5lj3")
cmd.extract("U2_C5lj3", "chain Z and 5lj3")
cmd.extract("U5_C5lj3", "chain U and 5lj3")
cmd.extract("U6_C5lj3", "chain V and 5lj3")
cmd.extract("Intron_C5lj3", "chain I and 5lj3")
cmd.extract("Exon_C5lj3", "chain E and 5lj3")
cmd.extract("SMB1_1_C5lj3", "chain b and 5lj3")
cmd.extract("SMB1_2_C5lj3", "chain k and 5lj3")
cmd.extract("SME1_1_C5lj3", "chain e and 5lj3")
cmd.extract("SME1_2_C5lj3", "chain p and 5lj3")
cmd.extract("SMX3_1_C5lj3", "chain f and 5lj3")
cmd.extract("SMX3_2_C5lj3", "chain q and 5lj3")
cmd.extract("SMX2_1_C5lj3", "chain g and 5lj3")
cmd.extract("SMX2_2_C5lj3", "chain r and 5lj3")
cmd.extract("SMD3_1_C5lj3", "chain d and 5lj3")
cmd.extract("SMD3_2_C5lj3", "chain n and 5lj3")
cmd.extract("SMD1_1_C5lj3", "chain h and 5lj3")
cmd.extract("SMD1_2_C5lj3", "chain l and 5lj3")
cmd.extract("SMD2_1_C5lj3", "chain j and 5lj3")
cmd.extract("SMD2_2_C5lj3", "chain m and 5lj3")
cmd.set_name("5lj3", "unknown_other_C5lj3")
cmd.group("C5lj3", "*_C5lj3")
cmd.do("order *, yes")
if '5mps' in name.lower():
cmd.extract("PRP8_Cs5mps", "chain A and 5mps")
cmd.extract("BUD31_Cs5mps", "chain L and 5mps")
cmd.extract("CEF1_Cs5mps", "chain O and 5mps")
cmd.extract("CLF1_Cs5mps", "chain S and 5mps")
cmd.extract("CWC15_Cs5mps", "chain P and 5mps")
cmd.extract("CWC2_hRBM22_Cs5mps", "chain M and 5mps")
cmd.extract("CWC21_Cs5mps", "chain R and 5mps")
cmd.extract("CWC22_Cs5mps", "chain H and 5mps")
cmd.extract("PRP45_Cs5mps", "chain K and 5mps")
cmd.extract("CDC40_Cs5mps", "chain o and 5mps")
cmd.extract("PRP46_Cs5mps", "chain J and 5mps")
cmd.extract("SLT11/ECM2_Cs5mps", "chain N and 5mps")
cmd.extract("SNU114_Cs5mps", "chain C and 5mps")
cmd.extract("SYF2_Cs5mps", "chain y and 5mps")
cmd.extract("SYF1_Cs5mps", "chain T and 5mps")
cmd.extract("U2_Cs5mps", "chain 2 and 5mps")
cmd.extract("U5_Cs5mps", "chain 5 and 5mps")
cmd.extract("U6_Cs5mps", "chain 6 and 5mps")
cmd.extract("5EXON_Cs5mps", "chain E and 5mps")
cmd.extract("Intron_Cs5mps", "chain I and 5mps")
cmd.extract("Exon_Cs5mps", "chain E and 5mps")
cmd.extract("SMB1_Cs5mps", "chain b and 5mps")
cmd.extract("SME1_Cs5mps", "chain e and 5mps")
cmd.extract("SMX3_Cs5mps", "chain f and 5mps")
cmd.extract("SMX2_Cs5mps", "chain g and 5mps")
cmd.extract("SMD3_Cs5mps", "chain d and 5mps")
cmd.extract("SMD1_Cs5mps", "chain h and 5mps")
cmd.extract("SMD2_Cs5mps", "chain j and 5mps")
cmd.extract("PRP18_Cs5mps", "chain a and 5mps")
cmd.extract("SLU7_Cs5mps", "chain c and 5mps")
cmd.set_name("5mps", "unknown_other_Cs5mps")
cmd.group("Cs5mps", "*_Cs5mps")
cmd.do("order *, yes")
if '6exn' in name.lower():
cmd.extract("PRP8_P6exn", "chain A and 6exn")
cmd.extract("BUD31_P6exn", "chain L and 6exn")
cmd.extract("CEF1_P6exn", "chain O and 6exn")
cmd.extract("CLF1_P6exn", "chain S and 6exn")
cmd.extract("CWC15_P6exn", "chain P and 6exn")
cmd.extract("CWC16/YJU2_P6exn", "chain D and 6exn")
cmd.extract("CWC2_hRBM22_P6exn", "chain M and 6exn")
cmd.extract("CWC21_P6exn", "chain R and 6exn")
cmd.extract("CWC22_P6exn", "chain H and 6exn")
cmd.extract("LEA1_P6exn", "chain W and 6exn")
cmd.extract("Msl1_P6exn", "chain Y and 6exn")
cmd.extract("PRP45_P6exn", "chain K and 6exn")
cmd.extract("CDC40_P6exn", "chain o and 6exn")
cmd.extract("PRP19_1_P6exn", "chain t and 6exn")
cmd.extract("PRP19_2_P6exn", "chain u and 6exn")
cmd.extract("PRP19_3_P6exn", "chain v and 6exn")
cmd.extract("PRP19_4_P6exn", "chain w and 6exn")
cmd.extract("PRP46_P6exn", "chain J and 6exn")
cmd.extract("SLT11/ECM2_P6exn", "chain N and 6exn")
cmd.extract("SNU114_P6exn", "chain C and 6exn")
cmd.extract("SYF1_P6exn", "chain T and 6exn")
cmd.extract("U2_P6exn", "chain 2 and 6exn")
cmd.extract("U5_P6exn", "chain 5 and 6exn")
cmd.extract("U6_P6exn", "chain 6 and 6exn")
cmd.extract("Intron_P6exn", "chain I and 6exn")
cmd.extract("Exon_P6exn", "chain E and 6exn")
cmd.extract("SMB1_1_P6exn", "chain b and 6exn")
cmd.extract("SMB1_2_P6exn", "chain k and 6exn")
cmd.extract("SME1_1_P6exn", "chain e and 6exn")
cmd.extract("SME1_2_P6exn", "chain p and 6exn")
cmd.extract("SMX3_1_P6exn", "chain f and 6exn")
cmd.extract("SMX3_2_P6exn", "chain q and 6exn")
cmd.extract("SMX2_1_P6exn", "chain g and 6exn")
cmd.extract("SMX2_2_P6exn", "chain r and 6exn")
cmd.extract("SMD3_1_P6exn", "chain d and 6exn")
cmd.extract("SMD3_2_P6exn", "chain n and 6exn")
cmd.extract("SMD1_1_P6exn", "chain h and 6exn")
cmd.extract("SMD1_2_P6exn", "chain l and 6exn")
cmd.extract("SMD2_1_P6exn", "chain j and 6exn")
cmd.extract("SMD2_2_P6exn", "chain m and 6exn")
cmd.extract("PRP22_P6exn", "chain V and 6exn")
cmd.extract("PRP18_P6exn", "chain a and 6exn")
cmd.extract("SLU7_P6exn", "chain c and 6exn")
cmd.extract("unassigned_P6exn", "chain X and 6exn")
cmd.set_name("6exn", "unknown_other_P6exn")
cmd.group("P6exn", "*_P6exn")
cmd.do("order *, yes")
if '5ylz' in name.lower():
cmd.extract("PRP8_P5ylz", "chain A and 5ylz")
cmd.extract("BUD31_P5ylz", "chain L and 5ylz")
cmd.extract("CEF1_P5ylz", "chain J and 5ylz")
cmd.extract("CLF1_P5ylz", "chain I and 5ylz")
cmd.extract("CWC15_P5ylz", "chain P and 5ylz")
cmd.extract("CWC2_hRBM22_P5ylz", "chain N and 5ylz")
cmd.extract("CWC21_P5ylz", "chain R and 5ylz")
cmd.extract("CWC22_P5ylz", "chain S and 5ylz")
cmd.extract("LEA1_P5ylz", "chain o and 5ylz")
cmd.extract("Msl1_P5ylz", "chain p and 5ylz")
cmd.extract("PRP45_P5ylz", "chain Q and 5ylz")
cmd.extract("CDC40_P5ylz", "chain T and 5ylz")
cmd.extract("PRP19_1_P5ylz", "chain q and 5ylz")
cmd.extract("PRP19_2_P5ylz", "chain r and 5ylz")
cmd.extract("PRP19_3_P5ylz", "chain s and 5ylz")
cmd.extract("PRP19_4_P5ylz", "chain t and 5ylz")
cmd.extract("PRP46_P5ylz", "chain O and 5ylz")
cmd.extract("SLT11/ECM2_P5ylz", "chain M and 5ylz")
cmd.extract("SNT309_P5ylz", "chain G and 5ylz")
cmd.extract("SNU114_P5ylz", "chain C and 5ylz")
cmd.extract("SYF2_P5ylz", "chain K and 5ylz")
cmd.extract("SYF1_P5ylz", "chain H and 5ylz")
cmd.extract("U2_P5ylz", "chain F and 5ylz")
cmd.extract("U5_P5ylz", "chain B and 5ylz")
cmd.extract("U6_P5ylz", "chain D and 5ylz")
cmd.extract("Intron_P5ylz", "chain E and 5ylz")
cmd.extract("SMB1_1_P5ylz", "chain a and 5ylz")
cmd.extract("SMB1_2_P5ylz", "chain h and 5ylz")
cmd.extract("SME1_1_P5ylz", "chain b and 5ylz")
cmd.extract("SME1_2_P5ylz", "chain i and 5ylz")
cmd.extract("SMX3_1_P5ylz", "chain c and 5ylz")
cmd.extract("SMX3_2_P5ylz", "chain j and 5ylz")
cmd.extract("SMX2_1_P5ylz", "chain d and 5ylz")
cmd.extract("SMX2_2_P5ylz", "chain k and 5ylz")
cmd.extract("SMD3_1_P5ylz", "chain e and 5ylz")
cmd.extract("SMD3_2_P5ylz", "chain l and 5ylz")
cmd.extract("SMD1_1_P5ylz", "chain f and 5ylz")
cmd.extract("SMD1_2_P5ylz", "chain m and 5ylz")
cmd.extract("SMD2_1_P5ylz", "chain g and 5ylz")
cmd.extract("SMD2_2_P5ylz", "chain n and 5ylz")
cmd.extract("PRP22_P5ylz", "chain W and 5ylz")
cmd.extract("PRP18_P5ylz", "chain U and 5ylz")
cmd.extract("SLU7_P5ylz", "chain V and 5ylz")
cmd.set_name("5ylz", "unknown_other_P5ylz")
cmd.group("P5ylz", "*_P5ylz")
cmd.do("order *, yes")
if '5y88' in name.lower():
cmd.extract("PRP8_I5y88", "chain A and 5y88")
cmd.extract("BUD31_I5y88", "chain L and 5y88")
cmd.extract("CLF1_I5y88", "chain I and 5y88")
cmd.extract("CWC15_I5y88", "chain P and 5y88")
cmd.extract("CWC16/YJU2_I5y88", "chain R and 5y88")
cmd.extract("CWC2_hRBM22_I5y88", "chain N and 5y88")
cmd.extract("CWC25_I5y88", "chain G and 5y88")
cmd.extract("Intron_2_I5y88", "chain E and 5y88")
cmd.extract("LEA1_I5y88", "chain o and 5y88")
cmd.extract("Msl1_I5y88", "chain p and 5y88")
cmd.extract("PRP45_I5y88", "chain Q and 5y88")
cmd.extract("CDC40_I5y88", "chain S and 5y88")
cmd.extract("PRP19_1_I5y88", "chain q and 5y88")
cmd.extract("PRP19_2_I5y88", "chain r and 5y88")
cmd.extract("PRP19_3_I5y88", "chain s and 5y88")
cmd.extract("PRP19_4_I5y88", "chain t and 5y88")
cmd.extract("PRP46_I5y88", "chain O and 5y88")
cmd.extract("SLT11/ECM2_I5y88", "chain M and 5y88")
cmd.extract("SNT309_I5y88", "chain G and 5y88")
cmd.extract("SNU114_I5y88", "chain C and 5y88")
cmd.extract("SYF2_I5y88", "chain K and 5y88")
cmd.extract("SYF1_I5y88", "chain H and 5y88")
cmd.extract("U2_I5y88", "chain F and 5y88")
cmd.extract("U5_I5y88", "chain B and 5y88")
cmd.extract("U6_I5y88", "chain D and 5y88")
cmd.extract("Intron_I5y88", "chain x and 5y88")
cmd.extract("RNA_I5y88", "chain x and 5y88")
cmd.extract("cwc23_I5y88", "chain T and 5y88")
cmd.extract("SPP382_I5y88", "chain U and 5y88")
cmd.extract("NTR2_I5y88", "chain V and 5y88")
cmd.extract("PRP43_I5y88", "chain W and 5y88")
cmd.extract("SMB1_1_I5y88", "chain a and 5y88")
cmd.extract("SMB1_2_I5y88", "chain h and 5y88")
cmd.extract("SME1_1_I5y88", "chain b and 5y88")
cmd.extract("SME1_2_I5y88", "chain i and 5y88")
cmd.extract("SMX3_1_I5y88", "chain c and 5y88")
cmd.extract("SMX3_2_I5y88", "chain j and 5y88")
cmd.extract("SMX2_1_I5y88", "chain d and 5y88")
cmd.extract("SMX2_2_I5y88", "chain k and 5y88")
cmd.extract("SMD3_1_I5y88", "chain e and 5y88")
cmd.extract("SMD3_2_I5y88", "chain l and 5y88")
cmd.extract("SMD1_1_I5y88", "chain f and 5y88")
cmd.extract("SMD1_2_I5y88", "chain m and 5y88")
cmd.extract("SMD2_1_I5y88", "chain g and 5y88")
cmd.extract("SMD2_2_I5y88", "chain n and 5y88")
cmd.set_name("5y88", "unknown_other_I5y88")
cmd.group("I5y88", "*_I5y88")
cmd.do("order *, yes")
if '3jb9' in name.lower():
cmd.extract("U2_3jb9", "chain P and 3jb9")
cmd.extract("U5_3jb9", "chain C and 3jb9")
cmd.extract("U6_3jb9", "chain N and 3jb9")
cmd.extract("Intron_1_3jb9", "chain O and 3jb9")
cmd.extract("Intron_2_3jb9", "chain Q and 3jb9")
cmd.extract("Spp42_yPrp8_3jb9", "chain A and 3jb9")
cmd.extract("CWF15_yCWC15_3jb9", "chain h and 3jb9")
cmd.set_name("3jb9", "unknown_other_3jb9")
cmd.group("3jb9", "*_3jb9")
cmd.do("order *, yes")
if '6icz' in name.lower():
cmd.extract("CWC15_hP_6icz", "chain P and 6icz")
cmd.extract("U2_hP_6icz", "chain H and 6icz")
cmd.extract("U5_hP_6icz", "chain B and 6icz")
cmd.extract("U6_hP_6icz", "chain F and 6icz")
cmd.extract("Intron_hP_6icz", "chain G and 6icz")
cmd.extract("cwc23_hP_6icz", "chain 6ICZ and 6icz")
cmd.set_name("6icz", "unknown_other_hP_6icz")
cmd.group("hP6icz", "*_hP_6icz")
cmd.do("order *, yes")
if '6ff7' in name.lower():
cmd.extract("CWC15_hBa_6ff7", "chain R and 6ff7")
cmd.extract("CWC2_hRBM22_hBa_6ff7", "chain P and 6ff7")
cmd.extract("U2_hBa_6ff7", "chain 2 and 6ff7")
cmd.extract("U5_hBa_6ff7", "chain 5 and 6ff7")
cmd.extract("U6_hBa_6ff7", "chain 6 and 6ff7")
cmd.extract("Intron_hBa_6ff7", "chain Z and 6ff7")
cmd.set_name("6ff7", "unknown_other_hBa_6ff7")
cmd.group("hBa6ff7", "*_hBa_6ff7")
cmd.do("order *, yes")
if '5yzg' in name.lower():
cmd.extract("CWC15_hC_5yzg", "chain P and 5yzg")
cmd.extract("CWC2_hRBM22_hC_5yzg", "chain O and 5yzg")
cmd.extract("CWC25_hC_5yzg", "chain X and 5yzg")
cmd.extract("PRP16_hDHX38_hC_5yzg", "chain Z and 5yzg")
cmd.extract("U2_hC_5yzg", "chain H and 5yzg")
cmd.extract("U5_hC_5yzg", "chain B and 5yzg")
cmd.extract("U6_hC_5yzg", "chain F and 5yzg")
cmd.extract("Intron_hC_5yzg", "chain G and 5yzg")
cmd.set_name("5yzg", "unknown_other_hC_5yzg")
cmd.group("hC5yzg", "*_hC_5yzg")
cmd.do("order *, yes")
if '5xjc' in name.lower():
cmd.extract("CWC15_hX_5xjc", "chain P and 5xjc")
cmd.extract("CWC25_hX_5xjc", "chain X and 5xjc")
cmd.extract("U2_hX_5xjc", "chain H and 5xjc")
cmd.extract("U5_hX_5xjc", "chain B and 5xjc")
cmd.extract("U6_hX_5xjc", "chain F and 5xjc")
cmd.extract("Intron_hX_5xjc", "chain G and 5xjc")
cmd.extract("PRKRIP1_hX_5xjc", "chain X and 5xjc")
cmd.set_name("5xjc", "unknown_other_hX_5xjc")
cmd.group("hX5xjc", "*_hX_5xjc")
cmd.do("order *, yes")
if '5mq0' in name.lower():
cmd.extract("CWC15_yCs_5mq0", "chain P and 5mq0")
cmd.extract("CWC2_hRBM22_yCs_5mq0", "chain M and 5mq0")
cmd.extract("U2_yCs_5mq0", "chain 2 and 5mq0")
cmd.extract("U5_yCs_5mq0", "chain 5 and 5mq0")
cmd.extract("U6_yCs_5mq0", "chain 6 and 5mq0")
cmd.extract("5EXON_yCs_5mq0", "chain E and 5mq0")
cmd.extract("Intron_yCs_5mq0", "chain I and 5mq0")
cmd.extract("exon-3_yCs_5mq0", "chain 3 and 5mq0")
cmd.set_name("5mq0", "unknown_other_yCs_5mq0")
cmd.group("yCs5mq0", "*_yCs_5mq0")
cmd.do("order *, yes")
if '5lj5' in name.lower():
cmd.extract("PRP8_yC_5lj5", "chain A and 5lj5")
cmd.extract("BRR2_yC_5lj5", "chain B and 5lj5")
cmd.extract("BUD31_yC_5lj5", "chain L and 5lj5")
cmd.extract("CEF1_yC_5lj5", "chain O and 5lj5")
cmd.extract("CLF1_yC_5lj5", "chain S and 5lj5")
cmd.extract("CWC15_yC_5lj5", "chain P and 5lj5")
cmd.extract("CWC16/YJU2_yC_5lj5", "chain D and 5lj5")
cmd.extract("CWC2_hRBM22_yC_5lj5", "chain M and 5lj5")
cmd.extract("CWC21_yC_5lj5", "chain R and 5lj5")
cmd.extract("CWC22_yC_5lj5", "chain H and 5lj5")
cmd.extract("CWC25_yC_5lj5", "chain F and 5lj5")
cmd.extract("ISY1_yC_5lj5", "chain G and 5lj5")
cmd.extract("Msl1_yC_5lj5", "chain Y and 5lj5")
cmd.extract("PRP45_yC_5lj5", "chain K and 5lj5")
cmd.extract("PRP16_hDHX38_yC_5lj5", "chain Q and 5lj5")
cmd.extract("PRP19_1_yC_5lj5", "chain t and 5lj5")
cmd.extract("PRP19_2_yC_5lj5", "chain u and 5lj5")
cmd.extract("PRP19_3_yC_5lj5", "chain v and 5lj5")
cmd.extract("PRP19_4_yC_5lj5", "chain w and 5lj5")
cmd.extract("PRP46_yC_5lj5", "chain J and 5lj5")
cmd.extract("SLT11/ECM2_yC_5lj5", "chain N and 5lj5")
cmd.extract("SNT309_yC_5lj5", "chain s and 5lj5")
cmd.extract("SNU114_yC_5lj5", "chain C and 5lj5")
cmd.extract("SYF1_yC_5lj5", "chain T and 5lj5")
cmd.extract("U2_yC_5lj5", "chain Z and 5lj5")
cmd.extract("U5_yC_5lj5", "chain U and 5lj5")
cmd.extract("U6_yC_5lj5", "chain V and 5lj5")
cmd.extract("5EXON_yC_5lj5", "chain E and 5lj5")
cmd.extract("Intron_yC_5lj5", "chain I and 5lj5")
cmd.extract("SMB1_1_yC_5lj5", "chain b and 5lj5")
cmd.extract("SMB1_2_yC_5lj5", "chain k and 5lj5")
cmd.extract("SME1_1_yC_5lj5", "chain e and 5lj5")
cmd.extract("SME1_2_yC_5lj5", "chain p and 5lj5")
cmd.extract("SMX3_1_yC_5lj5", "chain f and 5lj5")
cmd.extract("SMX3_2_yC_5lj5", "chain q and 5lj5")
cmd.extract("SMX2_1_yC_5lj5", "chain g and 5lj5")
cmd.extract("SMX2_2_yC_5lj5", "chain r and 5lj5")
cmd.extract("SMD3_1_yC_5lj5", "chain d and 5lj5")
cmd.extract("SMD3_2_yC_5lj5", "chain n and 5lj5")
cmd.extract("SMD1_1_yC_5lj5", "chain h and 5lj5")
cmd.extract("SMD1_2_yC_5lj5", "chain l and 5lj5")
cmd.extract("SMD2_1_yC_5lj5", "chain j and 5lj5")
cmd.extract("SMD2_2_yC_5lj5", "chain m and 5lj5")
cmd.extract("unassigned_yC_5lj5", "chain x and 5lj5")
cmd.set_name("5lj5", "unknown_other_yC_5lj5")
cmd.group("yC5lj5", "*_yC_5lj5")
cmd.do("order *, yes")
if '6g90' in name.lower():
cmd.extract("LEA1_yPre_6g90", "chain W and 6g90")
cmd.extract("Msl1_yPre_6g90", "chain Y and 6g90")
cmd.extract("Ysf3_yPre_6g90", "chain Z and 6g90")
cmd.extract("SMB1_1_yPre_6g90", "chain b and 6g90")
cmd.extract("SMB1_2_yPre_6g90", "chain s and 6g90")
cmd.extract("SME1_1_yPre_6g90", "chain e and 6g90")
cmd.extract("SME1_2_yPre_6g90", "chain w and 6g90")
cmd.extract("SMX3_1_yPre_6g90", "chain f and 6g90")
cmd.extract("SMX3_2_yPre_6g90", "chain x and 6g90")
cmd.extract("SMX2_1_yPre_6g90", "chain g and 6g90")
cmd.extract("SMX2_2_yPre_6g90", "chain y and 6g90")
cmd.extract("SMD3_1_yPre_6g90", "chain d and 6g90")
cmd.extract("SMD3_2_yPre_6g90", "chain v and 6g90")
cmd.extract("SMD1_1_yPre_6g90", "chain h and 6g90")
cmd.extract("SMD1_2_yPre_6g90", "chain t and 6g90")
cmd.extract("SMD2_1_yPre_6g90", "chain i and 6g90")
cmd.extract("SMD2_2_yPre_6g90", "chain u and 6g90")
cmd.extract("unassigned_yPre_6g90", "chain X and 6g90")
cmd.extract("MUD1_yPre_6g90", "chain A and 6g90")
cmd.extract("SNP1_yPre_6g90", "chain B and 6g90")
cmd.extract("YHC1_yPre_6g90", "chain C and 6g90")
cmd.extract("PRP39_yPre_6g90", "chain D and 6g90")
cmd.extract("PRP42_yPre_6g90", "chain E and 6g90")
cmd.extract("NAM8_yPre_6g90", "chain F and 6g90")
cmd.extract("SNU56_yPre_6g90", "chain G and 6g90")
cmd.extract("LUC7_yPre_6g90", "chain H and 6g90")
cmd.extract("SNU71_yPre_6g90", "chain J and 6g90")
cmd.extract("HSH155_yPre_6g90", "chain O and 6g90")
cmd.extract("RSE1_yPre_6g90", "chain P and 6g90")
cmd.extract("CUS1_yPre_6g90", "chain Q and 6g90")
cmd.extract("HSH49_yPre_6g90", "chain R and 6g90")
cmd.extract("RDS3_yPre_6g90", "chain S and 6g90")
cmd.extract("PRP9_yPre_6g90", "chain T and 6g90")
cmd.extract("PRP11_yPre_6g90", "chain U and 6g90")
cmd.extract("PRP21_yPre_6g90", "chain V and 6g90")
cmd.set_name("6g90", "unknown_other_yPre_6g90")
cmd.group("yPre6g90", "*_yPre_6g90")
cmd.do("order *, yes")
if '6n7r' in name.lower():
cmd.extract("Intron_yE_6n7r", "chain r and 6n7r")
cmd.extract("SMB1_yE_6n7r", "chain K and 6n7r")
cmd.extract("SME1_yE_6n7r", "chain O and 6n7r")
cmd.extract("SMX3_yE_6n7r", "chain P and 6n7r")
cmd.extract("SMX2_yE_6n7r", "chain Q and 6n7r")
cmd.extract("SMD3_yE_6n7r", "chain N and 6n7r")
cmd.extract("SMD1_yE_6n7r", "chain L and 6n7r")
cmd.extract("SMD2_yE_6n7r", "chain M and 6n7r")
cmd.extract("MUD1_yE_6n7r", "chain C and 6n7r")
cmd.extract("SNP1_yE_6n7r", "chain A and 6n7r")
cmd.extract("YHC1_yE_6n7r", "chain B and 6n7r")
cmd.extract("PRP39_yE_6n7r", "chain E and 6n7r")
cmd.extract("PRP42_yE_6n7r", "chain D and 6n7r")
cmd.extract("NAM8_yE_6n7r", "chain F and 6n7r")
cmd.extract("SNU56_yE_6n7r", "chain G and 6n7r")
cmd.extract("LUC7_yE_6n7r", "chain I and 6n7r")
cmd.extract("SNU71_yE_6n7r", "chain H and 6n7r")
cmd.extract("U1_yE_6n7r", "chain R and 6n7r")
cmd.set_name("6n7r", "unknown_other_yE_6n7r")
cmd.group("yE6n7r", "*_yE_6n7r")
cmd.do("order *, yes")
if '6n7p' in name.lower():
cmd.extract("Intron_yE_6n7p", "chain r and 6n7p")
cmd.extract("SMB1_yE_6n7p", "chain K and 6n7p")
cmd.extract("SME1_yE_6n7p", "chain O and 6n7p")
cmd.extract("SMX3_yE_6n7p", "chain P and 6n7p")
cmd.extract("SMX2_yE_6n7p", "chain Q and 6n7p")
cmd.extract("SMD3_yE_6n7p", "chain N and 6n7p")
cmd.extract("SMD1_yE_6n7p", "chain L and 6n7p")
cmd.extract("SMD2_yE_6n7p", "chain M and 6n7p")
cmd.extract("MUD1_yE_6n7p", "chain C and 6n7p")
cmd.extract("SNP1_yE_6n7p", "chain A and 6n7p")
cmd.extract("YHC1_yE_6n7p", "chain B and 6n7p")
cmd.extract("PRP39_yE_6n7p", "chain E and 6n7p")
cmd.extract("PRP42_yE_6n7p", "chain D and 6n7p")
cmd.extract("NAM8_yE_6n7p", "chain F and 6n7p")
cmd.extract("SNU56_yE_6n7p", "chain G and 6n7p")
cmd.extract("LUC7_yE_6n7p", "chain I and 6n7p")
cmd.extract("SNU71_yE_6n7p", "chain H and 6n7p")
cmd.extract("U1_yE_6n7p", "chain R and 6n7p")
cmd.extract("PRP40_yE_6n7p", "chain J and 6n7p")
cmd.extract("STO1_yE_6n7p", "chain X and 6n7p")
cmd.extract("CBC2_yE_6n7p", "chain Y and 6n7p")
cmd.set_name("6n7p", "unknown_other_yE_6n7p")
cmd.group("yE6n7p", "*_yE_6n7p")
cmd.do("order *, yes")
gfiles = ['donor.grd', 'apolar.grd', 'acceptor.grd']
grids = ['donor', 'apolar', 'acceptor']
num = 0
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s'%(gfiles[i]), '%s_%s'%(grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s'%(grids[i], t, num), '%s_%s'%(grids[i], num), t)
cmd.set('transparency', surf_transparency, 'surface_%s_%s_%s'%(grids[i], t, num))
cmd.color(colour_dict['%s'%(grids[i])], 'surface_%s_%s_%s'%(grids[i], t, num))
cmd.group('threshold_%s'%(t), members = 'surface_%s_%s_%s'%(grids[i],t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g,num))
cmd.load("hotspot_1/apolar.grd", "apolar_hotspot_1")
cmd.isosurface(name="surface_apolar_hotspot_1", map="apolar_hotspot_1", level="5")
cmd.color("yellow", "surface_apolar_hotspot_1")
cmd.set("transparency", 0.2, "surface_apolar_hotspot_1")
cmd.load("hotspot_1/donor.grd", "donor_hotspot_1")
cmd.isosurface(name="surface_donor_hotspot_1", map="donor_hotspot_1", level="5")
cmd.color("blue", "surface_donor_hotspot_1")
cmd.set("transparency", 0.2, "surface_donor_hotspot_1")
cmd.load("hotspot_1/acceptor.grd", "acceptor_hotspot_1")
cmd.isosurface(name="surface_acceptor_hotspot_1", map="acceptor_hotspot_1", level="5")
cmd.color("red", "surface_acceptor_hotspot_1")
cmd.set("transparency", 0.2, "surface_acceptor_hotspot_1")
cmd.group("hotspot_1", members="apolar_hotspot_1")
cmd.group("hotspot_1", members="donor_hotspot_1")
cmd.group("hotspot_1", members="acceptor_hotspot_1")
cmd.group("hotspot_1", members="surface_apolar_hotspot_1")
cmd.group("hotspot_1", members="surface_donor_hotspot_1")
cmd.group("hotspot_1", members="surface_acceptor_hotspot_1")
cmd.pseudoatom(object="PS_apolar_hotspot_1_0", pos=(3.0, 16.5, -29.5), color=(1, 1, 1), label=19.0)
cmd.pseudoatom(object="PS_apolar_hotspot_1_1", pos=(2.5, 17.5, -30.5), color=(1, 1, 1), label=19.0)
cmd.pseudoatom(object="PS_apolar_hotspot_1_2", pos=(1.6666666666666714, 13.25, -34.0), color=(1, 1, 1), label=16.0)
cmd.pseudoatom(object="PS_apolar_hotspot_1_3", pos=(2.0, 16.0, -30.5), color=(1, 1, 1), label=19.0)
cmd.pseudoatom(object="PS_apolar_hotspot_1_4", pos=(0.75, 18.333333333333336, -18.75), color=(1, 1, 1), label=23.1)
def selections_group(self):
"""Group all selections"""
cmd.group('Structures', '%s %s %sCartoon' % (self.protname, self.ligname, self.protname))
cmd.group('Interactions', 'Hydrophobic HBonds HalogenBonds WaterBridges PiCation PiStackingP PiStackingT '
'Saltbridges MetalComplexes')
cmd.group('Atoms', '')
cmd.group('Atoms.Protein', 'Hydrophobic-P HBondAccept-P HBondDonor-P HalogenAccept Centroids-P PiCatRing-P '
'StackRings-P PosCharge-P NegCharge-P AllBSRes Chargecenter-P Metal-P')
cmd.group('Atoms.Ligand', 'Hydrophobic-L HBondAccept-L HBondDonor-L HalogenDonor Centroids-L NegCharge-L '
'PosCharge-L NegCharge-L ChargeCenter-L StackRings-L PiCatRing-L Metal-L Metal-M '
'Unpaired-HBA Unpaired-HBD Unpaired-HAL Unpaired-RINGS')
cmd.group('Atoms.Other', 'Water Metal-W')
cmd.order('*', 'y')
def get_resi_stats(target_sel="all", residues=[], group_id="X", atom="NZ", atom_dist=8, resi_n_term=8, resi_c_term=8, verb=True):
# The distance in angstrom to look for
var_dist = 12
if type(residues) != list:
print("\nERROR: The residues should be supplied as a list\n")
return
# Get current setting
ini_setting = cmd.get("dot_solvent")
ini_setting2 = cmd.get("dot_density")
# Increasing dot_density makes calculation slower, but not a big difference
#cmd.set('dot_density', 3)
# Make groups
group = "Stats_%s_%s" % (target_sel, group_id)
group_atom = "Stats_%s_%s_%s" % (atom, target_sel, group_id)
group_chain = "Stats_%s_%s_%s" % ("chain", target_sel, group_id)
group_3dweb = "Stats_%s_%s_%s" % ("3dweb", target_sel, group_id)
# Make list for storing
slist = []
# Make file for writing
wfileweblogo = open("resi_stats_weblogo_%s_%s.txt" % (target_sel, group_id), 'w')
for residue in residues:
residue = residue.strip()
resn_1 = residue[0].upper()
resn_3 = aa_1_3[resn_1]
resi = int(residue[1:])
# Check input
if resn_1.isdigit():
print("\nERROR: The residue should be in format of ex: K10\n")
return
# Do selection and group
sel_str = "%s and resn %s and resi %s" % (target_sel, resn_3, resi)
resn_resi = "%s%s" % (resn_1, resi)
sel_str_text = "%s_%s_%s" % (target_sel, group_id, resn_resi)
cmd.select(sel_str_text, sel_str)
# Make quick test, to see if the atom is there
sel_str_atom_test = "%s and name %s" % (sel_str_text, atom)
test_str = "Test_nr_atoms"
cmd.select(test_str, sel_str_atom_test)
nr_test = cmd.count_atoms(test_str)
if nr_test != 1:
print("\nERROR: The selection '%s', has only nr of atoms:%s. SKIPPING"%(sel_str_atom_test, nr_test))
continue
# MSA = Molecular Surface Area
cmd.set("dot_solvent", "off")
MSA = cmd.get_area(sel_str)
# SASA = Solvent Accessible Surface Area
cmd.set("dot_solvent", "on")
SASA = cmd.get_area(sel_str)
# Get the chain residues
chain = "."*(resi_n_term + resi_c_term + 1)
chain_sec = "."*(resi_n_term + resi_c_term + 1)
resi_sel_min = resi-resi_n_term
if resi_sel_min < 1:
resi_sel_min = 1
resi_sel_max = resi+resi_c_term
resi_sel = "%i-%i" % (resi_sel_min, resi_sel_max)
# Make selection
sel_str_chain = "%s and resi %s and name CA" % (target_sel, resi_sel)
sel_str_text_chain = "%s_%s_%s_%s" % ("chain", target_sel, group_id, resn_resi)
cmd.select(sel_str_text_chain, sel_str_chain)
# Get the chain info
stored.list_chain = []
expression_chain="stored.list_chain.append([resi, resn, name, ss])"
cmd.iterate(sel_str_text_chain, expression_chain)
for chain_resi_info in stored.list_chain:
chain_resi, chain_resn, chain_name, chain_ss = chain_resi_info
# Convert ss, secondary structure, if ss=S (Sheet), or ss='' (Not Helix or Sheet)
if chain_ss == '':
chain_ss = 'L'
chain_resi = int(chain_resi)
try:
chain_resn_1 = aa_3_1[chain_resn]
except KeyError:
chain_resn_1 = "."
# Calculate index
index = resi_n_term - (resi - chain_resi)
# Replace in string for residue names
chain = chain[:index] + chain_resn_1 + chain[index + 1:]
# Replace in string for secondary structyre
chain_sec = chain_sec[:index] + chain_ss + chain_sec[index + 1:]
# Get number of neighbour atoms
# Make selection for NZ atoms
sel_str_atom = "%s and name %s" % (sel_str_text, atom)
sel_str_text_atom = "%s_%s_%s_%s" % (atom, target_sel, group_id, resn_resi)
cmd.select(sel_str_text_atom, sel_str_atom)
# Make selection around NZ atom for fixed distance, and count
sel_str_atom_around = "%s around %s and not (%s)" % (sel_str_text_atom, atom_dist, sel_str)
sel_str_text_atom_around = "%s_around_%s_%s_%s" % (atom, target_sel, group_id, resn_resi)
cmd.select(sel_str_text_atom_around, sel_str_atom_around)
# Count around
stored.list = []
expression="stored.list.append([resi, resn, name])"
cmd.iterate(sel_str_text_atom_around, expression)
nr_atoms_around = len(stored.list)
# Make selection around NZ atom for variable distance
#for i in range(2, var_dist+1):
for i in range(2, var_dist+1, 2):
dist = i
dist_pre = dist - 1
# Select for an angstrom shorter
sel_str_atom_3dweb_pre = "byres %s around %s" % (sel_str_text_atom, dist_pre)
sel_str_text_atom_3dweb_pre = "%s_3dweb_pre_%s_%s_%s_%s_%s" % (atom, target_sel, group_id, resn_resi, dist, dist_pre)
cmd.select(sel_str_text_atom_3dweb_pre, sel_str_atom_3dweb_pre)
# Select at distance
sel_str_atom_3dweb_post = "byres %s around %s" % (sel_str_text_atom, dist)
sel_str_text_atom_3dweb_post = "%s_3dweb_post_%s_%s_%s_%s_%s" % (atom, target_sel, group_id, resn_resi, dist, dist)
cmd.select(sel_str_text_atom_3dweb_post, sel_str_atom_3dweb_post)
# Make selection for uniq residues with shell
sel_str_text_atom_3dweb_sel = "%s_3dweb_sel_%s_%s_%s_%s" % (atom, target_sel, group_id, resn_resi, dist)
cmd.select(sel_str_text_atom_3dweb_sel, "(%s and not %s) and name CA" % (sel_str_atom_3dweb_post, sel_str_atom_3dweb_pre))
# delete
cmd.delete(sel_str_text_atom_3dweb_pre)
cmd.delete(sel_str_text_atom_3dweb_post)
# Loop through selecion
stored.list_3dweb = []
expression_3dweb="stored.list_3dweb.append([resi, resn, name])"
cmd.iterate(sel_str_text_atom_3dweb_sel, expression_3dweb)
for web3d_residues in stored.list_3dweb:
web3d_resi, web3d_resn, web3d_name = web3d_residues
try:
web3d_resn_1 = aa_3_1[web3d_resn]
except KeyError:
web3d_resn_1 = "."
# Write http://weblogo.threeplusone.com/ file
FASTA_text = "> %s %s %s %s %s, dist=%s resi=%s resn=%s %s" %(target_sel, group_id, resi, resn_1, resn_3, dist, web3d_resi, web3d_resn_1, web3d_resn)
weblogo = "."*(var_dist)
weblogo = weblogo[:i-1] + web3d_resn_1 + weblogo[i:]
# Write
wfileweblogo.write(FASTA_text + "\n")
wfileweblogo.write(weblogo + "\n")
# Store info
slist.append([target_sel, group_id, resn_resi, resn_1, resi, MSA, SASA, nr_atoms_around, chain, chain_sec])
# Group selections
cmd.group(group, "%s_%s_*" % (target_sel, group_id))
cmd.select("%s_sel"%group, "%s_%s_*" % (target_sel, group_id))
# Group around
cmd.group(group_chain, "%s_%s_%s*" % ("chain",target_sel, group_id) )
cmd.group(group_atom, "%s_%s_%s_*" % (atom, target_sel, group_id))
cmd.group(group_atom, "%s_around_%s_%s_*" % (atom, target_sel, group_id))
cmd.group(group_3dweb, "%s_3dweb_sel_%s_%s_*" % (atom, target_sel, group_id))
# Write output
wfile = open("resi_stats_%s_%s.csv" % (target_sel, group_id), 'w')
wfile.write("target_sel;group_id;resn_resi;resn;resi;MSA;SASA;nr_atoms_around;chain;chain_sec"+"\n")
for i in slist:
wfile.write("%s;%s;%s;%s;%i;%3.0f;%3.0f;%i;%s;%s" % (i[0], i[1], i[2], i[3], i[4], i[5], i[6], i[7], i[8], i[9]) + "\n")
wfile.close()
wfileweblogo.close()
# Back to before
cmd.set("dot_solvent", ini_setting)
cmd.set('dot_density', ini_setting2)
def dock(self):
#setup tables with distances, errors and weights
expDistances = []
expErrors = []
weights = []
constraintNames = []
for restraint in self.restraints:
constraintNames.append(
"%s-%s" % (restraint["anchorAname"], restraint["anchorBname"]))
expDistances.append(restraint["distance"])
expErrors.append(restraint["width"])
weights.append(restraint["weight"])
expDistances = numpy.array(expDistances)
expErrors = numpy.array(expErrors)
weights = numpy.array(weights)
# setup Proteins
anchorAcoords = []
for restraint in self.restraints:
anchorAcoords.append(restraint["anchorAcoord"])
proteinAname = self.restraints[0]["proteinAname"]
anchorAcalphas = self.restraints[0]["proteinAcalpha"]
proteinA = Protein(anchorAcoords, anchorAcalphas, proteinAname)
anchorBcoords = []
for restraint in self.restraints:
anchorBcoords.append(restraint["anchorBcoord"])
proteinBname = self.restraints[0]["proteinBname"]
anchorBcalphas = self.restraints[0]["proteinBcalpha"]
proteinB = Protein(anchorBcoords, anchorBcalphas, proteinBname)
# move both to origin
proteinA.moveToOrigin(proteinA.labelAtomsCog)
proteinB.moveToOrigin(proteinB.labelAtomsCog)
#######
# evolve
#######
zeroChromosome = Chromosome("None")
zeroChromosome.genes = numpy.array([0, 0, 0, 0, 0, 0])
# setup populations
print "setting up populations..."
populations = []
for i in range(0, self.numberOfPopulations):
if self.symmetry == "C2":
population = Population(self.numberOfChromosomes, "C2")
elif self.symmetry == "None":
population = Population(self.numberOfChromosomes, "None")
population.name = "%i" % (i + 1)
populations.append(population)
# put them into an environment and evolve
environment1 = Environment(populations, proteinA, proteinB,
expDistances, expErrors, weights, False,
False, False)
environment1.constraintNames = constraintNames
#environment1.applySelectionPressure()
#for population in environment1.populations:
# population.log += population.chromosomes[0].printChromosomeWithoutClashes()
self.processes = []
resultQueue = multiprocessing.Queue()
progressQueue = multiprocessing.Queue()
numberOfProcesses = len(environment1.populations)
for idx, population in enumerate(environment1.populations):
environment = copy.deepcopy(environment1)
p = multiprocessing.Process(target=self.worker1,
args=(environment, idx, resultQueue,
progressQueue))
p.start()
self.processes.append(p)
cycles = 0
maxCycles = numberOfProcesses * (self.numberOfGenerations +
self.numberOfRigidBodyCycles)
#while True:
# cycles += progressQueue.get()
# progress = cycles/(numberOfProcesses*(self.numberOfGenerations+self.numberOfRigidBodyCycles))
# #send message to main thread
# wx.CallAfter(pub.sendMessage, "docking.update", progress=progress)
# if cycles >= maxCycles:
# break
resultsList = [resultQueue.get() for p in self.processes]
for p in self.processes:
p.join()
environment1.populations = resultsList
# create solutions
print ""
print "Solutions:"
nonClashingSolution = 1
clashingSolution = 1
for population in environment1.populations:
#createPseudoatom(self.labelPositionsProteinB, "tmpSolution-labels", 1)
tmpProtein = Protein(proteinB.originalLabelAtoms,
proteinB.originalLabelAtoms,
"tmpSolution-labels")
solution = population.chromosomes[0]
# print solution.printChromosomeWithClashes()
if solution.clashes <= 5:
nameOfSolution = "%s-%i_sol-%i" % (self.objectPrefix,
self.dockingRunNumber,
nonClashingSolution)
solution.name = nameOfSolution
proteinB.moveInPymol(nameOfSolution, solution, 1)
#tmpProtein.moveInPymol("%s-labels" % nameOfSolution, solution, 1)
cmd.translate(list(proteinA.labelAtomsCog.reshape(-1, )),
nameOfSolution, 1, 0, None)
#cmd.translate(list(proteinA.labelAtomsCog.reshape(-1,)), "%s-labels" % nameOfSolution, 1, 0, None)
nonClashingSolution += 1
elif solution.clashes > 5:
nameOfSolution = "%s-%i_clash-%i" % (
self.objectPrefix, self.dockingRunNumber, clashingSolution)
solution.name = nameOfSolution
proteinB.moveInPymol(nameOfSolution, solution, 1)
#tmpProtein.moveInPymol("%s-labels" % nameOfSolution, solution, 1)
cmd.translate(list(proteinA.labelAtomsCog.reshape(-1, )),
nameOfSolution, 1, 0, None)
#cmd.translate(list(proteinA.labelAtomsCog.reshape(-1,)), "%s-labels" % nameOfSolution, 1, 0, None)
clashingSolution += 1
cmd.group("%s-%i" % (self.objectPrefix, self.dockingRunNumber),
"%s-%i*" % (self.objectPrefix, self.dockingRunNumber))
#cmd.set_view(myView)
return environment1, self.settings
def pyTwister(selection, chains):
'''
DESCRIPTION
Brief description what this function does goes here
'''
#some preliminary stuff
#cmd.reinitialize()
#cmd.load("Helix-coot-0.pdb")
#cmd.delete("Alpha*")
#cmd.delete("Axis*")
#cmd.delete("coiledCoil*")
cmd.set("dash_gap","0")
cmd.set("dash_radius","0.2")
#make list of residueNames
stored.residueNumbersInSelection=[]
cmd.iterate(selection + " & name ca", "stored.residueNumbersInSelection.append(resi)")
stored.residuesInSelection=[]
cmd.iterate(selection + " & name ca", "stored.residuesInSelection.append(resn)")
stored.residueOneLetterCodes=[]
helicesInSelection=[]
#calculate alphaHelixParameters
for i in range (0, len(chains)):
dict={}
#get ca positions
dict['caPositions']=getCaPositions(selection + " & chain " + chains[i] + " & name ca")
#reverse ca dictionary for the reverse calculations C-term to N-term will be averaged later
dict['reverseCaPositions']=dict['caPositions'][::-1]
#calculate bisections
dict['bisections']=calculateBisections(dict['caPositions'])
dict['reverseBisections']=calculateBisections(dict['reverseCaPositions'])
#calculate helix axis points by adjusting the length of the bisection vectors
dict['helixAxisPoints']=calculateHelixAxisPoints(dict['caPositions'], dict['bisections'])
dict['reverseHelixAxisPoints']=calculateHelixAxisPoints(dict['reverseCaPositions'], dict['reverseBisections'])
#some artistics to get the reversedReversed helixAxisPoints
#dict['reverseHelixAxisPoints'].append([0,0,0]) #appends trailing 0,0,0 before turning
#dict['reverseHelixAxisPoints'].remove([0,0,0]) #removes leading 0,0,0 before turning
dict['reversedReverseHelixAxisPoints']=dict['reverseHelixAxisPoints'][::-1]
#average helixAxisPoints from forward and reverse calculation
dict['avgHelixAxisPoints']=(numpy.array(dict['helixAxisPoints'])+numpy.array(dict['reversedReverseHelixAxisPoints']))/2
#calculate alphaHelix parameters with averaged helix axis
dict['alphaHelicalRadiusPerResidue']=calculateAlphaHelicalRadius(dict['caPositions'], dict['avgHelixAxisPoints'])
dict['alphaHelicalRisesPerResidue']=calculateAlphaHelicalRisePerResidue(dict['avgHelixAxisPoints'])
dict['alphaHelicalPhaseYieldsPerResidue']=calculateAlphaHelicalPhaseYieldPerResidue(dict['caPositions'], dict['avgHelixAxisPoints'],0)
dict['alphaHelicalResiduesPerTurn']=calculateAlphaHelicalPitchPerResidue(dict['avgHelixAxisPoints'],dict['alphaHelicalRisesPerResidue'],dict['alphaHelicalPhaseYieldsPerResidue'])
helicesInSelection.append(dict)
#calculate average of alpha helical parameters - average of AxisPoints is coiledCoilAxis
averageAlphaHelicalParameters={}
for key in ['avgHelixAxisPoints','alphaHelicalRadiusPerResidue', 'alphaHelicalRisesPerResidue', 'alphaHelicalPhaseYieldsPerResidue', 'alphaHelicalResiduesPerTurn']:
average=0
i=0
while (i < len(helicesInSelection)):
#print key
average+=numpy.array(helicesInSelection[i][key])
#print helicesInSelection[i][key], key
i+=1
average/=len(helicesInSelection)
#print average
averageAlphaHelicalParameters[key]=average
#calculate coiled coil parameters
coiledCoils=[]
for i in range (0, len(chains)-1):
coiledCoilParameters={}
coiledCoilParameters['coiledCoilAxisPoints']=averageAlphaHelicalParameters['avgHelixAxisPoints']
coiledCoilParameters['coiledCoilRadiusPerResidue']=calculateAlphaHelicalRadius(helicesInSelection[i]['avgHelixAxisPoints'], coiledCoilParameters['coiledCoilAxisPoints'])
coiledCoilParameters['coiledCoilRisesPerResidue']=calculateAlphaHelicalRisePerResidue(coiledCoilParameters['coiledCoilAxisPoints'])
coiledCoilParameters['coiledCoilPhaseYieldsPerResidue']=calculateAlphaHelicalPhaseYieldPerResidue(helicesInSelection[i]['avgHelixAxisPoints'], coiledCoilParameters['coiledCoilAxisPoints'],0)
coiledCoilParameters['coiledCoilPitch']=numpy.array(calculateAlphaHelicalPitchPerResidue(coiledCoilParameters['coiledCoilAxisPoints'],coiledCoilParameters['coiledCoilRisesPerResidue'],numpy.absolute(numpy.array(coiledCoilParameters['coiledCoilPhaseYieldsPerResidue']))))*numpy.array(coiledCoilParameters['coiledCoilRisesPerResidue'])
coiledCoils.append(coiledCoilParameters)
#calculate average of coiled coil parameters
averageCoiledCoilParameters={}
for key in ['coiledCoilAxisPoints','coiledCoilRadiusPerResidue', 'coiledCoilRisesPerResidue', 'coiledCoilPhaseYieldsPerResidue', 'coiledCoilPitch']:
average=0
i=0
while (i < len(coiledCoils)):
average+=numpy.array(coiledCoils[i][key])
i+=1
average/=len(coiledCoils)
averageCoiledCoilParameters[key]=average
#calculate Crick angle and assign positions
crickAnglesForAllHelices=[]
i=0
while (i < len(chains)):
#print i
crickAngles=[]
crickAngles.append(0)
#crickAngles.append(0)
for j in range (1,len(helicesInSelection[i]["avgHelixAxisPoints"])-1):
angle=calculateCrickAngle(helicesInSelection[i]['caPositions'][j], helicesInSelection[i]["avgHelixAxisPoints"][j], averageCoiledCoilParameters['coiledCoilAxisPoints'][j])
crickAngles.append(angle)
crickAnglesForAllHelices.append(crickAngles)
i+=1
avgCrickAngles=[]
for i in range (0, len(crickAngles)):
avg=0
x=0
y=0
for j in range(0, len(chains)):
x+=math.cos(crickAnglesForAllHelices[j][i]*numpy.pi/180)
y+=math.sin(crickAnglesForAllHelices[j][i]*numpy.pi/180)
avg=math.atan2(y,x)*180/numpy.pi
avgCrickAngles.append(avg)
avgCrickAngles.append(0)#print avgCrickAngles
pos=[]
pos.append("x")
#pos.append("x")
i = 1
while (i < len(helicesInSelection[0]["avgHelixAxisPoints"])):
#print avgCrickAngles[i]
addUp=0
if (avgCrickAngles[i-1] < 0 and avgCrickAngles[i] > 0 and math.fabs(avgCrickAngles[i-1]) > math.fabs(avgCrickAngles[i]) and math.fabs(avgCrickAngles[i]) < 50):
#print avgCrickAngles[i]
pos.append("a")
cmd.color("red", selection+" & resi "+str(stored.residueNumbersInSelection[i]))
if i+1<len(helicesInSelection[0]["avgHelixAxisPoints"])-1:
pos.append("b")
addUp+=1
if i+2<len(helicesInSelection[0]["avgHelixAxisPoints"])-1:
pos.append("c")
addUp+=1
elif (avgCrickAngles[i] < 0 and avgCrickAngles[i+1] > 0 and math.fabs(avgCrickAngles[i]) < math.fabs(avgCrickAngles[i+1]) and math.fabs(avgCrickAngles[i]) < 50):
pos.append("d")
cmd.color("blue", selection+" & resi "+str(stored.residueNumbersInSelection[i]))
if i+1<len(helicesInSelection[0]["avgHelixAxisPoints"])-1:
pos.append("e")
addUp+=1
if i+2<len(helicesInSelection[0]["avgHelixAxisPoints"])-1:
pos.append("f")
addUp+=1
if i+3<len(helicesInSelection[0]["avgHelixAxisPoints"])-1:
pos.append("g")
addUp+=1
else:
pos.append("?")
#print addUp
i+=addUp
i+=1
#make a nice table of results
table = [["Res.", "cc-rad", "cc-rise", "cc-pitch", "cc-phaseYield", "pos","Crick-angle", "a-radius", "a-rise", "a-res/turn", "a-phaseYield"]]
for i in range (1,len(helicesInSelection[0]["avgHelixAxisPoints"])-1):
#print i
list=[]
list.append(stored.residuesInSelection[i]+ " " +stored.residueNumbersInSelection[i])
list.append(averageCoiledCoilParameters['coiledCoilRadiusPerResidue'][i])
list.append(averageCoiledCoilParameters['coiledCoilRisesPerResidue'][i])
list.append(averageCoiledCoilParameters['coiledCoilPitch'][i])
list.append(averageCoiledCoilParameters['coiledCoilPhaseYieldsPerResidue'][i])
list.append(pos[i])
list.append(avgCrickAngles[i])
list.append(averageAlphaHelicalParameters['alphaHelicalRadiusPerResidue'][i])
list.append(averageAlphaHelicalParameters['alphaHelicalRisesPerResidue'][i])
list.append(averageAlphaHelicalParameters['alphaHelicalResiduesPerTurn'][i])
list.append(averageAlphaHelicalParameters['alphaHelicalPhaseYieldsPerResidue'][i])
table.append(list)
averages = []
stdevs = []
avgCoiledCoilRadius = numpy.mean(averageCoiledCoilParameters['coiledCoilRadiusPerResidue'])
stdevCoiledCoilRadius = numpy.std(averageCoiledCoilParameters['coiledCoilRadiusPerResidue'])
avgCoiledCoilRise = numpy.mean(averageCoiledCoilParameters['coiledCoilRisesPerResidue'])
stdevCoiledCoilRise = numpy.std(averageCoiledCoilParameters['coiledCoilRisesPerResidue'])
avgCoiledCoilPitch = numpy.mean(averageCoiledCoilParameters['coiledCoilPitch'])
stdevCoiledCoilPitch = numpy.std(averageCoiledCoilParameters['coiledCoilPitch'])
avgCoiledCoilPhaseYield = numpy.mean(averageCoiledCoilParameters['coiledCoilPhaseYieldsPerResidue'])
stdevCoiledCoilPhaseYield = numpy.std(averageCoiledCoilParameters['coiledCoilPhaseYieldsPerResidue'])
avgAlphaHelicalRadius = numpy.mean(averageAlphaHelicalParameters['alphaHelicalRadiusPerResidue'])
stdevAlphaHelicalRadius = numpy.std(averageAlphaHelicalParameters['alphaHelicalRadiusPerResidue'])
avgAlphaHelicalRise = numpy.mean(averageAlphaHelicalParameters['alphaHelicalRisesPerResidue'])
stdevAlphaHelicalRise = numpy.std(averageAlphaHelicalParameters['alphaHelicalRisesPerResidue'])
avgResPerTurn = numpy.mean(averageAlphaHelicalParameters['alphaHelicalResiduesPerTurn'])
stdevResPerTurn = numpy.std(averageAlphaHelicalParameters['alphaHelicalResiduesPerTurn'])
avgAlphaHelicalPhaseYield = numpy.mean(averageAlphaHelicalParameters['alphaHelicalPhaseYieldsPerResidue'])
stdevAlphaHelicalPhaseYield = numpy.std(averageAlphaHelicalParameters['alphaHelicalPhaseYieldsPerResidue'])
averages = ["Avg", avgCoiledCoilRadius, avgCoiledCoilRise, avgCoiledCoilPitch, avgCoiledCoilPhaseYield, "-","-", avgAlphaHelicalRadius, avgAlphaHelicalRise, avgResPerTurn, avgAlphaHelicalPhaseYield]
stdevs = ["Std", stdevCoiledCoilRadius, stdevCoiledCoilRise, stdevCoiledCoilPitch, stdevCoiledCoilPhaseYield, "-","-", stdevAlphaHelicalRadius, stdevAlphaHelicalRise, stdevResPerTurn, stdevAlphaHelicalPhaseYield]
empty = ["","","","","","","","","","",""]
table.append(empty)
table.append(averages)
table.append(stdevs)
#print table
pprint_table(out, table)
#show axes in pymol
for i in range (0, len(helicesInSelection)):
#print len(helicesInSelection),i
for j in range (0,len(helicesInSelection[i]["avgHelixAxisPoints"])):
createPseudoatom(coiledCoilParameters["coiledCoilAxisPoints"][j],"coiledCoilAxisPoint_"+str(i)+"_"+str(j))
createPseudoatom(helicesInSelection[i]["avgHelixAxisPoints"][j],"AxisPoint_"+str(i)+"_"+str(j))
if j > 0:
cmd.distance("AxisLine_"+str(i)+"_"+str(j),"AxisPoint_"+str(i)+"_"+str(j-1),"AxisPoint_"+str(i)+"_"+str(j))
cmd.distance("CoiledCoilAxisLine_"+str(i)+"_"+str(j),"coiledCoilAxisPoint_"+str(i)+"_"+str(j-1),"coiledCoilAxisPoint_"+str(i)+"_"+str(j))
cmd.group("AlphaAxis_"+str(i), "AxisLine_"+str(i)+"*")
cmd.group("AlphaAxisPoints_"+str(i), "AxisPoint_"+str(i)+"*")
cmd.group("coiledCoil", "coiledCoil*")
cmd.set("dash_color","yellow", "Alpha*")
cmd.set("dash_color","red", "Coiled*")
#print i
cmd.hide("labels")
cmd.hide("nonbonded")
def set_atom_level(level,
selection='*',
state=None,
rec_map=None,
lig_map=None):
if rec_map is None:
rec_channels = atom_types.get_default_rec_channels()
else:
rec_channels = atom_types.get_channels_from_file(
rec_map, name_prefix='Receptor')
if lig_map is None:
lig_channels = atom_types.get_default_lig_channels()
else:
lig_channels = atom_types.get_channels_from_file(lig_map,
name_prefix='Ligand')
channels = rec_channels + lig_channels
channels_by_name = dict((c.name, c) for c in channels)
for c in channels:
cmd.set_color(c.name + '$', atom_types.get_channel_color(c))
dx_regex = re.compile(r'(.*)_(\d+)_({})\.dx'.format(
'|'.join(channels_by_name)))
surface_groups = OrderedDict()
for dx_object in sorted(cmd.get_names('objects')):
if not fnmatch.fnmatch(dx_object, selection):
continue
m = dx_regex.match(dx_object)
if not m:
continue
grid_prefix = m.group(1)
sample_idx = int(m.group(2))
channel = channels_by_name[m.group(3)]
if state is None:
surface_state = sample_idx + 1
else:
surface_state = state
surface_object = '{}_{}_surface'.format(grid_prefix, channel.name)
cmd.isosurface(surface_object,
dx_object,
level=level,
state=surface_state)
cmd.color(channel.name + '$', surface_object)
if grid_prefix not in surface_groups:
surface_groups[grid_prefix] = []
if surface_object not in surface_groups[grid_prefix]:
surface_groups[grid_prefix].append(surface_object)
for grid_prefix, surface_objects in surface_groups.items():
surface_group = '{}_surfaces'.format(grid_prefix)
cmd.group(surface_group, ' '.join(surface_objects))
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"9.60299968719": [], "9.60299968719_arrows": []}
def show_contacts(selection,selection2,result="contacts",cutoff=3.6, bigcutoff = 4.0, SC_DEBUG = DEBUG):
"""
USAGE
show_contacts selection, selection2, [result=contacts],[cutoff=3.6],[bigcutoff=4.0]
Show various polar contacts, the good, the bad, and the ugly.
Edit MPB 6-26-14: The distances are heavy atom distances, so I upped the default cutoff to 4.0
Returns:
True/False - if False, something went wrong
"""
if SC_DEBUG > 4:
print('Starting show_contacts')
print('selection = "' + selection + '"')
print('selection2 = "' + selection2 + '"')
result = cmd.get_legal_name(result)
#if the group of contacts already exist, delete them
cmd.delete(result)
# ensure only N and O atoms are in the selection
all_don_acc1 = selection + " and (donor or acceptor)"
all_don_acc2 = selection2 + " and (donor or acceptor)"
if SC_DEBUG > 4:
print('all_don_acc1 = "' + all_don_acc1 + '"')
print('all_don_acc2 = "' + all_don_acc2 + '"')
#if theses selections turn out not to have any atoms in them, pymol throws cryptic errors when calling the dist function like:
#'Selector-Error: Invalid selection name'
#So for each one, manually perform the selection and then pass the reference to the distance command and at the end, clean up the selections
#the return values are the count of the number of atoms
all1_sele_count = cmd.select('all_don_acc1_sele', all_don_acc1)
all2_sele_count = cmd.select('all_don_acc2_sele', all_don_acc2)
#print out some warnings
if DEBUG > 3:
if not all1_sele_count:
print('Warning: all_don_acc1 selection empty!')
if not all2_sele_count:
print('Warning: all_don_acc2 selection empty!')
########################################
allres = result + "_all"
if all1_sele_count and all2_sele_count:
cmd.distance(allres, 'all_don_acc1_sele', 'all_don_acc2_sele', bigcutoff, mode = 0)
cmd.set("dash_radius", "0.05", allres)
cmd.set("dash_color", "purple", allres)
cmd.hide("labels", allres)
########################################
#compute good polar interactions according to pymol
polres = result + "_polar"
if all1_sele_count and all2_sele_count:
cmd.distance(polres, 'all_don_acc1_sele', 'all_don_acc2_sele', cutoff, mode = 2) #hopefully this checks angles? Yes
cmd.set("dash_radius","0.126",polres)
########################################
#When running distance in mode=2, the cutoff parameter is ignored if set higher then the default of 3.6
#so set it to the passed in cutoff and change it back when you are done.
old_h_bond_cutoff_center = cmd.get('h_bond_cutoff_center') # ideal geometry
old_h_bond_cutoff_edge = cmd.get('h_bond_cutoff_edge') # minimally acceptable geometry
cmd.set('h_bond_cutoff_center', bigcutoff)
cmd.set('h_bond_cutoff_edge', bigcutoff)
#compute possibly suboptimal polar interactions using the user specified distance
pol_ok_res = result + "_polar_ok"
if all1_sele_count and all2_sele_count:
cmd.distance(pol_ok_res, 'all_don_acc1_sele', 'all_don_acc2_sele', bigcutoff, mode = 2)
cmd.set("dash_radius", "0.06", pol_ok_res)
#now reset the h_bond cutoffs
cmd.set('h_bond_cutoff_center', old_h_bond_cutoff_center)
cmd.set('h_bond_cutoff_edge', old_h_bond_cutoff_edge)
########################################
onlyacceptors1 = selection + " and (acceptor and !donor)"
onlyacceptors2 = selection2 + " and (acceptor and !donor)"
onlydonors1 = selection + " and (!acceptor and donor)"
onlydonors2 = selection2 + " and (!acceptor and donor)"
#perform the selections
onlyacceptors1_sele_count = cmd.select('onlyacceptors1_sele', onlyacceptors1)
onlyacceptors2_sele_count = cmd.select('onlyacceptors2_sele', onlyacceptors2)
onlydonors1_sele_count = cmd.select('onlydonors1_sele', onlydonors1)
onlydonors2_sele_count = cmd.select('onlydonors2_sele', onlydonors2)
#print out some warnings
if SC_DEBUG > 2:
if not onlyacceptors1_sele_count:
print('Warning: onlyacceptors1 selection empty!')
if not onlyacceptors2_sele_count:
print('Warning: onlyacceptors2 selection empty!')
if not onlydonors1_sele_count:
print('Warning: onlydonors1 selection empty!')
if not onlydonors2_sele_count:
print('Warning: onlydonors2 selection empty!')
accres = result+"_aa"
if onlyacceptors1_sele_count and onlyacceptors2_sele_count:
aa_dist_out = cmd.distance(accres, 'onlyacceptors1_sele', 'onlyacceptors2_sele', cutoff, 0)
if aa_dist_out < 0:
print('\n\nCaught a pymol selection error in acceptor-acceptor selection of show_contacts')
print('accres:', accres)
print('onlyacceptors1', onlyacceptors1)
print('onlyacceptors2', onlyacceptors2)
return False
cmd.set("dash_color","red",accres)
cmd.set("dash_radius","0.125",accres)
########################################
donres = result+"_dd"
if onlydonors1_sele_count and onlydonors2_sele_count:
dd_dist_out = cmd.distance(donres, 'onlydonors1_sele', 'onlydonors2_sele', cutoff, 0)
#try to catch the error state
if dd_dist_out < 0:
print('\n\nCaught a pymol selection error in dd selection of show_contacts')
print('donres:', donres)
print('onlydonors1', onlydonors1)
print('onlydonors2', onlydonors2)
print("cmd.distance('" + donres + "', '" + onlydonors1 + "', '" + onlydonors2 + "', " + str(cutoff) + ", 0)")
return False
cmd.set("dash_color","red",donres)
cmd.set("dash_radius","0.125",donres)
##########################################################
##### find the buried unpaired atoms of the receptor #####
##########################################################
#initialize the variable for when CALC_SASA is False
unpaired_atoms = ''
## Group
cmd.group(result,"%s %s %s %s %s %s" % (polres, allres, accres, donres, pol_ok_res, unpaired_atoms))
## Clean up the selection objects
#if the show_contacts debug level is high enough, don't delete them.
if SC_DEBUG < 5:
cmd.delete('all_don_acc1_sele')
cmd.delete('all_don_acc2_sele')
cmd.delete('onlyacceptors1_sele')
cmd.delete('onlyacceptors2_sele')
cmd.delete('onlydonors1_sele')
cmd.delete('onlydonors2_sele')
return True
def uniprot_features(uniprot_id, selection="(all)", withss=0, prefix="feature_", sm=None, quiet=1):
"""
DESCRIPTION
Fetch feature list from uniprot.org and create named selections.
Requires residue numbering (resi) to match uniprot sequence!
ARGUMENTS
uniprot_id = string: UniProtKB name or accession
selection = string: atom selection {default: all}
withss = 0/1: update secondary structure {default: 0}
"""
import xml.etree.ElementTree as etree
from urllib import urlopen
withss, quiet = int(withss), int(quiet)
url = "http://www.uniprot.org/uniprot/%s.xml" % uniprot_id
if not quiet:
print "Downloading", url
doc = etree.parse(urlopen(url))
ns = "http://uniprot.org/uniprot"
NS = {"u": ns}
if not quiet:
print "Parsing Features"
features = doc.findall("{%s}entry/{%s}feature" % (ns, ns))
sequence = doc.findtext("{%s}entry/{%s}sequence" % (ns, ns))
sequence = "".join(sequence.split())
try:
if sm is None:
sm = resid_mapper.from_seq_sel(sequence, selection)
except:
print " Warning: sequence mapping failed"
sm = lambda x: x
if withss == 1:
cmd.alter(selection, 'ss="L"')
ssmap = {"helix": "H", "strand": "S", "turn": "L"}
norange_types = ["disulfide bond"]
count = 0
for feature in features:
type = feature.get("type")
begin = feature.find("{%s}location/{%s}begin" % (ns, ns))
if begin is not None:
end = feature.find("{%s}location/{%s}end" % (ns, ns))
values = begin.get("position"), end.get("position")
if type in norange_types:
try:
values = sm(values[0]), sm(values[1])
sel = "(" + selection + ") and resi %s+%s" % values
except KeyError:
print " Warning: could not map", values
sel = "none"
else:
try:
values = sm(values)
sel = "(" + selection + ") and resi %s-%s" % values
except KeyError:
print " Warning: could not map", values
sel = "none"
else:
position = feature.find("{%s}location/{%s}position" % (ns, ns))
try:
value = sm(position.get("position"))
sel = "(%s) and resi %s" % (selection, value)
except KeyError:
sel = "none"
if type in ["helix", "strand", "turn"] and withss < 2:
if withss == 1:
cmd.alter(sel, 'ss="%s"' % ssmap.get(type, "L"))
else:
count += 1
name = cmd.get_legal_name("%s%03d_%s" % (prefix, count, feature.get("description", "").replace(".", "")))
groupname = cmd.get_legal_name("%s%s" % (prefix, type))
cmd.select(name, sel)
cmd.group(groupname, name, "add")
if not quiet:
print "Found %d feature records (without secondary structures)" % count
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"7.20800018311": [], "7.20800018311_arrows": []}
cmd.color("yellow", "surface_apolar_hotspot")
cmd.set("transparency", 0.2, "surface_apolar_hotspot")
cmd.load("hotspot/donor.grd", "donor_hotspot")
cmd.isosurface(name="surface_donor_hotspot", map="donor_hotspot", level="5")
cmd.color("blue", "surface_donor_hotspot")
cmd.set("transparency", 0.2, "surface_donor_hotspot")
cmd.load("hotspot/acceptor.grd", "acceptor_hotspot")
cmd.isosurface(name="surface_acceptor_hotspot",
map="acceptor_hotspot",
level="5")
cmd.color("red", "surface_acceptor_hotspot")
cmd.set("transparency", 0.2, "surface_acceptor_hotspot")
cmd.group("hotspot", members="apolar_hotspot")
cmd.group("hotspot", members="surface_apolar_hotspot")
cmd.group("hotspot", members="donor_hotspot")
cmd.group("hotspot", members="surface_donor_hotspot")
cmd.group("hotspot", members="acceptor_hotspot")
cmd.group("hotspot", members="surface_acceptor_hotspot")
cmd.group("hotspot", members="buriedness_hotspot")
cmd.group("hotspot", members="surface_buriedness_hotspot")
cmd.pseudoatom(object="PS_apolar_hotspot_0",
pos=(21.0, 15.0, 107.0),
color=(1, 1, 1),
label=13.9)
cmd.pseudoatom(object="PS_apolar_hotspot_1",
pos=(18.5, 15.0, 109.0),
color=(1, 1, 1),
gfiles = ['donor.grd', 'apolar.grd', 'acceptor.grd']
grids = ['donor', 'apolar', 'acceptor']
num = 0
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s'%(gfiles[i]), '%s_%s'%(grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s'%(grids[i], t, num), '%s_%s'%(grids[i], num), t)
cmd.set('transparency', surf_transparency, 'surface_%s_%s_%s'%(grids[i], t, num))
cmd.color(colour_dict['%s'%(grids[i])], 'surface_%s_%s_%s'%(grids[i], t, num))
cmd.group('threshold_%s'%(t), members = 'surface_%s_%s_%s'%(grids[i],t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g,num))
gfiles = ['donor.grd', 'apolar.grd', 'acceptor.grd']
grids = ['donor', 'apolar', 'acceptor']
num = 0
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s'%(gfiles[i]), '%s_%s'%(grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s'%(grids[i], t, num), '%s_%s'%(grids[i], num), t)
cmd.set('transparency', surf_transparency, 'surface_%s_%s_%s'%(grids[i], t, num))
cmd.color(colour_dict['%s'%(grids[i])], 'surface_%s_%s_%s'%(grids[i], t, num))
cmd.group('threshold_%s'%(t), members = 'surface_%s_%s_%s'%(grids[i],t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g,num))
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"17.5049991608": [], "17.5049991608_arrows": []}
def load_vina_results(project_file, group, max_load, max_rank, interactions_check):
# Load project data
with open(project_file) as _project_file:
project_data = json.load(_project_file)
# Load target
target_name = f"{group}.target"
if project_data["flexible"]:
cmd.load(project_data["rigid_pdbqt"], target_name)
else:
cmd.load(project_data["target_pdbqt"], target_name)
cmd.group(group)
cmd.group(group, target_name)
# Show box
box_name = f"{group}.box"
display_box(
box_name,
(
project_data["center_x"] + project_data["size_x"] / 2,
project_data["center_y"] + project_data["size_y"] / 2,
project_data["center_z"] + project_data["size_z"] / 2,
),
(
project_data["center_x"] - project_data["size_x"] / 2,
project_data["center_y"] - project_data["size_y"] / 2,
project_data["center_z"] - project_data["size_z"] / 2,
),
)
cmd.group(group, box_name)
# Parse results
results_dir = project_data["results_dir"]
results = itertools.chain.from_iterable(
map(parse_vina_log, glob(f"{results_dir}/poses/*.pdbqt"))
)
results = sorted(results, key=itemgetter("affinity"))
cache = set()
objects = set()
count = 0
for pose in results:
# Ignore poses which mode is greater than max
if pose["mode"] > max_rank:
continue
# Load molecule into cache
cache_name = cmd.get_legal_name(pose["filename"].replace(".", "_"))
if cache_name not in cache:
cmd.load(pose["filename"], cache_name)
cache.add(cache_name)
# Compute object names
score = int(-10 * pose["affinity"])
state = pose["mode"]
base_name = f'{group}.{pose["name"]}_{pose["mode"]}_{score}'
obj_name = f"{base_name}.mol"
polar_name = f"{base_name}.polar"
# Create group
cmd.group(base_name)
# Create molecule object
cmd.create(obj_name, cache_name, state, 1)
cmd.group(base_name, obj_name)
if interactions_check:
cmd.distance(polar_name, target_name, obj_name, 2)
cmd.group(base_name, polar_name)
objects.add(obj_name)
count += 1
if count >= max_load:
break
cmd.delete("delete " + " ".join(cache))
def supercell(a=1, b=1, c=1, object=None, color='green', name='supercell', withmates=1):
'''
DESCRIPTION
Draw a supercell, as requested by Nicolas Bock on the pymol-users
mailing list (Subject: [PyMOL] feature request: supercell construction
Date: 04/12/2010 10:12:17 PM (Mon, 12 Apr 2010 14:12:17 -0600))
USAGE
supercell a, b, c [, object [, color [, name [, withmates]]]]
ARGUMENTS
a, b, c = integer: repeat cell in x,y,z direction a,b,c times
{default: 1,1,1}
object = string: name of object to take cell definition from
color = string: color of cell {default: blue}
name = string: name of the cgo object to create {default: supercell}
withmates = bool: also create symmetry mates in displayed cells
{default: 1}
SEE ALSO
show cell
'''
import numpy
from pymol import cgo
if object is None:
object = cmd.get_object_list()[0]
withmates = int(withmates)
sym = cmd.get_symmetry(object)
cell_edges = sym[0:3]
cell_angles = sym[3:6]
basis = cellbasis(cell_angles, cell_edges)
assert isinstance(basis, numpy.ndarray)
ts = list()
for i in range(int(a)):
for j in range(int(b)):
for k in range(int(c)):
ts.append([i,j,k])
obj = [
cgo.BEGIN,
cgo.LINES,
cgo.COLOR,
]
obj.extend(cmd.get_color_tuple(color))
for t in ts:
shift = basis[0:3,0:3] * t
shift = shift[:,0] + shift[:,1] + shift[:,2]
for i in range(3):
vi = basis[0:3,i]
vj = [
numpy.array([0.,0.,0.]),
basis[0:3,(i+1)%3],
basis[0:3,(i+2)%3],
basis[0:3,(i+1)%3] + basis[0:3,(i+2)%3]
]
for j in range(4):
obj.append(cgo.VERTEX)
obj.extend((shift + vj[j]).tolist())
obj.append(cgo.VERTEX)
obj.extend((shift + vj[j] + vi).tolist())
if withmates:
groupname = 'm%d%d%d' % tuple(t)
symexpcell(groupname + '_', object, *t)
cmd.group(groupname, groupname + '_*')
obj.append(cgo.END)
cmd.delete(name)
cmd.load_cgo(obj, name)
cmd.orient(prefix)
colors = np.array([np.random.choice(np.arange(256, dtype=float), size=3) for dummy in range(binding_site_id)])
colors /= 255.0
residue_set = np.array(residue_set, dtype=str)
residue_rank_set = np.array(residue_rank_set, dtype=int)
binding_site_identifiers = np.array(binding_site_identifiers, dtype=int)
residue_identifiers = list(residue_identifiers)
for bs_id in np.arange(binding_site_id):
cmd.set_color("tmp_{}".format(bs_id), list(colors[bs_id]))
for entry_id in np.where(binding_site_identifiers == bs_id)[0]:
selected_residue = residue_set[entry_id]
selected_residue_rank = residue_rank_set[entry_id]
identifier_from_pdb = residue_identifiers[selected_residue_rank]
if re.findall("[a-zA-Z]+$", selected_residue)[0] != identifier_from_pdb[1]:
raise IndexError("The {}th residue in the provided pdb file ({}{}) is different from that in the simulations ({})!".format(entry_id+1,
identifier_from_pdb[0],
identifier_from_pdb[1],
selected_residue))
if identifier_from_pdb[2] != " ":
cmd.select("BSid{}_{}".format(bs_id, selected_residue), "chain {} and resid {} and (not name C+O+N)".format(identifier_from_pdb[2],
identifier_from_pdb[0]))
else:
cmd.select("BSid{}_{}".format(bs_id, selected_residue), "resid {} and (not name C+O+N)".format(identifier_from_pdb[0]))
cmd.show("spheres", "BSid{}_{}".format(bs_id, selected_residue))
cmd.set("sphere_scale", SCALES[entry_id], selection="BSid{}_{}".format(bs_id, selected_residue))
cmd.color("tmp_{}".format(bs_id), "BSid{}_{}".format(bs_id, selected_residue))
cmd.group("BSid{}".format(bs_id), "BSid{}_*".format(bs_id))
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"11.0475001335": [], "11.0475001335_arrows": []}
def select_sites(selection='all', filename=None, prefix=None, nice=1, quiet=0):
'''
DESCRIPTION
Make named selections from SITE records.
ARGUMENTS
name = string: molecular object {default: all}
filename = string: PDB file name with SITE records {default: look in
current directory and fetch_path for <name>.pdb}
prefix = string: prefix for named selections {default: site_}
nice = 0 or 1: make colored sticks representation for sites {default :1}
'''
nice, quiet = int(nice), int(quiet)
names = cmd.get_names('public_objects', 1, '(' + selection + ')')
selenames = set()
cysselenames = set()
hetselenames = set()
for name in names:
pfx = prefix or name + '_'
fname = filename
grpselenames = set()
if fname is None:
for fname in ['%s.pdb' % (name),
'%s/%s.pdb' % (cmd.get('fetch_path'), name)]:
if os.path.exists(fname):
break
else:
print ' Error: please provide filename'
raise CmdException
if not quiet:
print 'loading from %s' % (fname)
for line in open(fname):
if line.startswith('SITE '):
siteID = line[11:14].strip()
selename = pfx + siteID
selenames.add(selename)
grpselenames.add(selename)
for i in range(4):
res = line[18+11*i:29+11*i]
if res.strip():
chain = res[4]
resi = res[5:].strip()
selestr = '%s and chain %s and resi %s' % (name, chain, resi)
cmd.select(selename, selestr, 0, 1, 1)
elif line.startswith('LINK '):
siteID = line[12:16].strip()
distname = pfx + 'LINK_' + siteID
s1 = '/%s//%s/%s/%s' % (name, line[21], line[22:27].strip(), line[12:16].strip())
s2 = '/%s//%s/%s/%s' % (name, line[51], line[52:57].strip(), line[42:46].strip())
cmd.distance(distname, s1, s2)
elif line.startswith('SSBOND'):
selename = pfx + 'SSBOND'
selenames.add(selename)
grpselenames.add(selename)
cysselenames.add(selename)
selestr = '%s & (chain %s & resi %s | chain %s & resi %s) & name CA+CB+SG'
selestr = selestr % (name, line[15], line[17:22], line[29], line[31:36])
cmd.select(selename, selestr, 0, 1, 1)
elif line.startswith('HET '):
siteID = line[7:10].strip()
selename = pfx + 'HET_' + siteID
selenames.add(selename)
grpselenames.add(selename)
hetselenames.add(selename)
selestr = '%s & (chain %s & resi %s)' % (name, line[12], line[13:17])
cmd.select(selename, selestr, 0, 1, 1)
# Make selection for solvent
selename = pfx + 'solv'
selestr = '%s & solvent' % (name)
grpselenames.add(selename)
cmd.select(selename, selestr, 0, 1, 1)
cmd.group(name + '_sites', ' '.join(grpselenames))
if nice:
allsites = ' '.join(selenames)
cmd.show_as('cartoon', selection)
cmd.show('lines', '(%s) and not polymer' % (selection))
cmd.show('nonbonded', '(%s) and not polymer' % (selection))
cmd.show('sticks', '(%s) and (%s)' % (selection, allsites))
cmd.show('nb_spheres', '(%s) and (%s)' % (selection, allsites))
cmd.show('dashes', '*LINK*')
cmd.show('labels', '*LINK*')
cmd.color('gray', selection)
for i, selename in enumerate(selenames):
cmd.color(i+2, '(%s) and (%s)' % (selection, selename))
#for i, selename in enumerate(cysselenames):
# cmd.color('sulfur', '(%s) and (%s)' % (selection, selename))
for i, selename in enumerate(hetselenames):
cmd.show('spheres','%s and inorganic' % (selename))
cmd.util.cnc('%s' % (allsites))
cmd.pseudoatom(object="acceptor_projected_point_0_proj_score", pos=(27.0, 6.75, 12.5), color=(1, 1, 1), label=12.4)
acceptor_projected_projection_0 = [COLOR, 1.0, 0.6, 0.6] + [ALPHA, 0.8] + [SPHERE, float(27.0), float(6.75), float(12.5), float(1)]
cmd.load_cgo(acceptor_projected_projection_0, "acceptor_projected_projection_0_obj", 1)
cmd.pseudoatom(object="acceptor_projected_line_0pa1", pos=(25.0, 6.5, 13.0), color=(1, 1, 1))
cmd.pseudoatom(object="acceptor_projected_line_0pa2", pos=(27.0, 6.75, 12.5), color=(1, 1, 1))
cmd.distance(name="acceptor_projected_line_0", selection1="acceptor_projected_line_0pa1", selection2="acceptor_projected_line_0pa2", width=0.5, gap=0.2, label=0, state=1)
cmd.set("dash_color", (1.0, 0.6, 0.6), selection="acceptor_projected_line_0")
cmd.set("dash_width", 4.0)
cmd.delete("acceptor_projected_line_0pa1")
cmd.delete("acceptor_projected_line_0pa2")
cmd.group("acceptor_projected_0", members="acceptor_projected_point_0_obj")
cmd.group("acceptor_projected_0", members="acceptor_projected_point_0_score")
cmd.group("acceptor_projected_0", members="acceptor_projected_projection_0")
cmd.group("acceptor_projected_0", members="acceptor_projected_line_0")
cmd.group("acceptor_projected_0", members="acceptor_projected_point_0_proj_score")
donor_projected_point_1 = [COLOR, 0.0, 0.0, 1.0] + [ALPHA, 0.8] + [SPHERE, float(24.5), float(6.0), float(14.5), float(1)]
cmd.load_cgo(donor_projected_point_1, "donor_projected_point_1_obj", 1)
cmd.pseudoatom(object="donor_projected_point_1_score", pos=(24.5, 6.0, 14.5), color=(1, 1, 1), label=20.5)
cmd.group("donor_projected_1", members="donor_projected_point_1_obj")
cmd.group("donor_projected_1", members="donor_projected_point_1_score")
ring_point_2 = [COLOR, 0.33, 1.0, 0.0] + [ALPHA, 0.8] + [SPHERE, float(22.0), float(5.5), float(11.5), float(2.0)]
cmd.load_cgo(ring_point_2, "ring_point_2_obj", 1)
cmd.pseudoatom(object="ring_point_2_score", pos=(22.0, 5.5, 11.5), color=(1, 1, 1), label=18.1)
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"16.5699996948": [], "16.5699996948_arrows": []}
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"15.8459997177": [], "15.8459997177_arrows": []}
def uniprot_features(uniprot_id, selection='(all)', withss=0,
prefix='feature_', sm=None, quiet=1):
'''
DESCRIPTION
Fetch feature list from uniprot.org and create named selections.
Requires residue numbering (resi) to match uniprot sequence!
ARGUMENTS
uniprot_id = string: UniProtKB name or accession
selection = string: atom selection {default: all}
withss = 0/1: update secondary structure {default: 0}
'''
import xml.etree.ElementTree as etree
try:
from urllib import urlopen
except ImportError:
from urllib.request import urlopen
withss, quiet = int(withss), int(quiet)
url = 'http://www.uniprot.org/uniprot/%s.xml' % uniprot_id
if not quiet:
print('Downloading', url)
doc = etree.parse(urlopen(url))
ns = 'http://uniprot.org/uniprot'
NS = {'u': ns}
if not quiet:
print('Parsing Features')
features = doc.findall('{%s}entry/{%s}feature' % (ns, ns))
sequence = doc.findtext('{%s}entry/{%s}sequence' % (ns, ns))
sequence = ''.join(sequence.split())
try:
if sm is None:
sm = resid_mapper.from_seq_sel(sequence, selection)
except:
print(' Warning: sequence mapping failed')
sm = lambda x: x
if withss == 1:
cmd.alter(selection, 'ss="L"')
ssmap = {'helix': 'H', 'strand': 'S', 'turn': 'L'}
norange_types = ['disulfide bond']
count = 0
for feature in features:
type_ = feature.get('type')
begin = feature.find('{%s}location/{%s}begin' % (ns, ns))
if begin is not None:
end = feature.find('{%s}location/{%s}end' % (ns, ns))
values = begin.get('position'), end.get('position')
if type_ in norange_types:
try:
values = sm(values[0]), sm(values[1])
sel = '(' + selection + ') and resi %s+%s' % values
except KeyError:
print(' Warning: could not map', values)
sel = 'none'
else:
try:
values = sm(values)
sel = '(' + selection + ') and resi %s-%s' % values
except KeyError:
print(' Warning: could not map', values)
sel = 'none'
else:
position = feature.find('{%s}location/{%s}position' % (ns, ns))
try:
value = sm(position.get('position'))
sel = '(%s) and resi %s' % (selection, value)
except KeyError:
sel = 'none'
if type_ in ['helix', 'strand', 'turn'] and withss < 2:
if withss == 1:
cmd.alter(sel, 'ss="%s"' % ssmap.get(type_, 'L'))
else:
count += 1
name = cmd.get_legal_name('%s%03d_%s' % (prefix, count,
feature.get('description', '').replace('.', '')))
groupname = cmd.get_legal_name('%s%s' % (prefix, type_))
cmd.select(name, sel)
cmd.group(groupname, name, 'add')
if not quiet:
print('Found %d feature records (without secondary structures)' % count)
gfiles = ['donor.grd', 'apolar.grd', 'acceptor.grd']
grids = ['donor', 'apolar', 'acceptor']
num = 0
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s'%(gfiles[i]), '%s_%s'%(grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s'%(grids[i], t, num), '%s_%s'%(grids[i], num), t)
cmd.set('transparency', surf_transparency, 'surface_%s_%s_%s'%(grids[i], t, num))
cmd.color(colour_dict['%s'%(grids[i])], 'surface_%s_%s_%s'%(grids[i], t, num))
cmd.group('threshold_%s'%(t), members = 'surface_%s_%s_%s'%(grids[i],t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g,num))
def match_peptides(target_sel="all", peptides=[], verb=True):
if type(peptides) != list:
print("\nERROR: The peptides should be supplied as a list\n")
return
# Store info
return_list_resn_resi = []
return_list_resn_resi_sel = []
group = "Match_%s"%(target_sel)
for peptide in peptides:
sequence, modification = peptide
sequence = sequence.strip()
modification = modification.strip()
# Check input
if modification[0].isdigit() or not modification[1:].isdigit():
print("\nERROR: The modificaions should be in format of ex: K10\n")
return
#sel_str = "findseq"
sel_str = sequence
findseq.findseq(needle=sequence, haystack=target_sel, selName=sel_str)
# Limit the selection to atom name CA
atom_name = "CA"
sel_str_atom = "%s_%s"%(sel_str, atom_name)
# Make a sub selection with atom name, and delete old selection
cmd.select(sel_str_atom, "%s and name %s"%(sel_str, atom_name))
cmd.delete(sel_str)
# Iterate
stored.infolist = []
# resv (int): the residue identifier (residue number), ss (str): secondary structure, name (str): the atom name
expression = "stored.infolist.append([model, chain, resv, resn, ss, name])"
# Iterate over selection, storing info
cmd.iterate(sel_str_atom, expression)
cmd.delete(sel_str_atom)
# Check for results. Is there any found?
if len(stored.infolist) == 0:
print("\n#####################################################################")
print("ERROR: The following sequence cannot be found: %s %s"%(sequence, modification))
print("\n#####################################################################\n")
continue
# Find resn and index for search. This is for the peptide
resn = modification[0].upper()
index = int(modification[1:]) - 1
# This is for the mathc selection
peptide_match_modification = stored.infolist[index]
peptide_match_modification_model, peptide_match_modification_chain, peptide_match_modification_resv, peptide_match_modification_resn, \
peptide_match_modification_ss, peptide_match_modification_name = peptide_match_modification
# Convert to single aa
peptide_match_modification_resn = aa_3_1[peptide_match_modification_resn]
# Convert ss, secondary structure, if ss=S (Sheet), or ss='' (Not Helix or Sheet)
if peptide_match_modification_ss == '':
peptide_match_modification_ss = 'L'
# Check if the residue type match
if peptide_match_modification_resn != resn:
print("\n#####################################################################")
print("ERROR: The match is not equal: %s=%s != %s"%(modification[0], resn, peptide_match_modification_resn))
print("\n#####################################################################\n")
continue
# Do selection and group
#peptide_match_modification_sel_str = "/%s/%s//%s"%(peptide_match_modification_model, peptide_match_modification_chain, peptide_match_modification_resv)
peptide_match_modification_sel_str = "%s and chain %s and resi %s"%(peptide_match_modification_model, peptide_match_modification_chain, peptide_match_modification_resv)
peptide_match_modification_resn_resi = "%s%s"%(peptide_match_modification_resn, peptide_match_modification_resv)
peptide_match_modification_sel_str_text = "%s_%s_%s_%s"%(group, peptide_match_modification_resn_resi, modification, sequence)
cmd.select(peptide_match_modification_sel_str_text, peptide_match_modification_sel_str)
# Store
if peptide_match_modification_resn_resi not in return_list_resn_resi:
return_list_resn_resi.append(peptide_match_modification_resn_resi)
return_list_resn_resi_sel.append(peptide_match_modification_sel_str)
# Print
if verb:
print("The peptide=%s, with modification=%s, corresponds to resi=%s"%(sequence, modification, peptide_match_modification_resn_resi))
# Group selections
cmd.group(group, "%s_*"%group)
cmd.select("%s_sel"%group, "%s_*"%group)
cmd.show("lines", group)
# If verbose
if verb:
print("\nThere are %i uniq matches, in target_sel=%s\n"%(len(return_list_resn_resi), target_sel))
return return_list_resn_resi, return_list_resn_resi_sel
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"13.0880002975": [], "13.0880002975_arrows": []}
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"14.0630002022": [], "14.0630002022_arrows": []}
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"11.7354998589": [], "11.7354998589_arrows": []}
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"26.8719997406": [], "26.8719997406_arrows": []}
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"12.0150003433": [], "12.0150003433_arrows": []}
def scanDamage(nucleosome, uvddb, cutoff=2, clashKeep=1, writeModels=False):
"""
USAGE
scanDamage nucleosome object (DNA in chains I and J),
UVDDB probe object (containing appropriately positioned 2 bp ssDNA in chain Z as residues 1-2 for superpositioning),
distance in Ångstrom closer than which atoms are considered clashing,
keep models with fewer than the specified number of clashes,
write all models (for scoring externally for instance)
"""
chains = ['I', 'J']
results = []
if writeModels:
dirName = None
dirName = ("%s_%s_models" % (nucleosome, uvddb))
if not os.path.exists(dirName):
os.mkdir("%s" % (dirName))
for chain in chains:
chainLength = (len(
cmd.get_model("polymer and %s and chain %s" %
(nucleosome, chain)).get_residues()))
for i in range(0, chainLength + 1):
# for i in range(130, 146):
j = (i + 1)
if chain == 'I':
comnplementaryChain = 'J'
elif chain == 'J':
matchedChain = 'I'
# Handle lack of 5' phosphate on first nucleotide
if i == 0:
cmd.select(
"moving",
"%s and chain Z and resi 2 and backbone and not (n. P or n. OP1 or n. OP2)"
% (uvddb))
cmd.select(
"target",
"%s and chain %s and resi %d and backbone and not (n. P or n. OP1 or n. OP2)"
% (nucleosome, chain, j))
elif i == 1:
cmd.select(
"moving",
"%s and chain Z and resi 1-2 and backbone and not (n. P or n. OP1 or n. OP2)"
% (uvddb))
cmd.select(
"target",
"%s and chain %s and resi %d-%d and backbone and not (n. P or n. OP1 or n. OP2)"
% (nucleosome, chain, i, j))
# Handle final base
elif i == chainLength:
cmd.select("moving",
"%s and chain Z and resi 1 and backbone" % (uvddb))
cmd.select(
"target", "%s and chain %s and resi %d and backbone" %
(nucleosome, chain, i))
else:
cmd.select(
"moving",
"%s and chain Z and resi 1-2 and backbone" % (uvddb))
cmd.select(
"target", "%s and chain %s and resi %d-%d and backbone" %
(nucleosome, chain, i, j))
#numAtomMoving=(cmd.count_atoms("moving"))
#print ("\nNumber of moving atoms: %d" % (numAtomMoving) )
#numAtomTarget=(cmd.count_atoms("target"))
#print ("Number of target atoms: %d" % (numAtomTarget) )
alignResult = []
alignResult = cmd.pair_fit("moving", "target")
# alignResult = cmd.super("moving", "target")
# print ("RMSD after refinement %.4f with %d atoms in alignhment after %d refinement cycles" % (alignResult[0],alignResult[1],alignResult[2]) )
# print(" ".join('%s' % x for x in alignResult))
clashes = ("clashes")
# Calculate clashes excluding DNA portion (chain Z resi 1-2) of UV-DDB probe
cmd.select(
"%s" % (clashes), "(%s and not chain Z) within %d of %s" %
(uvddb, float(cutoff), nucleosome))
scoreAtoms = (cmd.count_atoms("%s" % (clashes)))
cmd.select("%s" % (clashes), "clashes byres clashes")
scoreRes = (cmd.count_atoms("%s" % (clashes) + " and name CA"))
# Write out models (nucleosome + current superimposed UV-DDB probe) for Rosetta scoring
if writeModels:
modelName = None
modelName = ("%s_uvddb_%s_%d-%d" % (nucleosome, chain, i, j))
editing.copy_to("%s" % (modelName),
"(%s or %s)" % (nucleosome, uvddb))
cmd.save("%s/%s.pdb" % (dirName, modelName),
"(%s)" % (modelName))
cmd.delete("%s" % (modelName))
# Retain models with no. residue clashes less than or equal to 'clashKeep'
if scoreRes < (int(clashKeep) + 1):
editing.copy_to("uvddb_%s_%d-%d" % (chain, i, j),
"%s" % (uvddb))
cmd.group("ClashKeep %s)" % (clashKeep),
"nonclashing + uvddb_%s_%d-%d" % (chain, i, j))
cmd.order("uvddb_*", "yes")
print(
"DNA chain %s bases %d - %d : UV-DDB clashes atoms %d residues %d "
% (chain, i, j, scoreAtoms, scoreRes))
clashes = ("%s,%d,%d,%d,%d" % (chain, i, j, scoreAtoms, scoreRes))
results.append((clashes))
with open('%s_scanDamage.csv' % (nucleosome), 'w') as output:
output.write("DNAchain,start,end,atomClashes,residueClashes\n")
for i in results:
output.write("%s\n" % i)
print("\nOutput saved to %s_scanDamage.csv\n" % (nucleosome))
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cluster_dict = {"18.218000412": [], "18.218000412_arrows": []}
def read_moestr(contents,
object,
state=0,
finish=1,
discrete=1,
quiet=1,
zoom=-1,
_self=cmd):
moestr = contents
name = object
import sys
if sys.version_info[0] > 2 and isinstance(moestr, bytes):
moestr = moestr.decode()
cmd = _self
mr = MOEReader()
mr.appendFromStr(moestr)
split_chains = cmd.get_setting_int("moe_separate_chains")
cmd.group(name)
if hasattr(mr, 'system'):
have_valences = 0
chain_count = 0
cmd.set_color("_aseg0", [1.0, 1.0, 1.0])
aseg_color = cmd.get_color_index("_aseg0")
aseg_flag = 0
aseg_rep = {}
model = Indexed()
molecule = mr.system['molecule']
if 'atoms' in molecule:
n_atom = molecule['atoms']
model.atom = [Atom() for x in range(n_atom)]
residues = {}
chains = {}
for columns, data in molecule['attr']:
for row in data:
cur_atom = None
for key, value in zip(columns, row):
key = key[0]
if key == 'ID':
ID = value
else:
aProp = _atom_prop_map.get(key, None)
if aProp != None:
setattr(model.atom[ID - 1], aProp, value)
else:
xyz = _atom_coord_map.get(key, None)
if xyz != None:
coord = list(model.atom[ID - 1].coord)
coord[xyz] = value
model.atom[ID - 1].coord = coord
elif key in _atom_vis_map:
atom = model.atom[ID - 1]
if hasattr(atom, 'visible'):
visible = atom.visible
else:
visible = _default_visible
if key == 'aBondLook':
if value == 'cylinder':
atom.visible = 0x00000001 | visible
elif value == 'line':
atom.visible = 0x00000080 | visible
elif value == 'none':
atom.visible = -129 & Visible # 0xFFFFFF7F
elif key == 'aNucleusLook':
if value == 'sphere':
atom.visible = 0x00000002 | visible
elif value == 'small-sphere': # need to set sphere_scale=0.2 for these atoms
atom.visible = 0x00000002 | visible
atom.sphere_scale = 0.2
elif value == 'point': # nonbonded
atom.visible = 0x00000800 | visible
elif value == 'none':
atom.visible = -2067 & visible # 0xFFFFF7ED
elif key == 'aHidden':
atom.visible = 0
atom.hidden = 1
if hasattr(
atom, 'hidden'
): # be sure that hidden atoms aren't shown
atom.visible = 0
elif key in _atom_color_map:
if key == 'aRGB':
model.atom[ID - 1].trgb = value
elif key == 'aColorBy':
model.atom[ID - 1].aColorBy = value
elif key in _atom_label_map:
atom = model.atom[ID - 1]
if hasattr(atom, 'label_dict'):
atom.label_dict[key] = None
else:
atom.label_dict = {key: None}
elif key in _residue_prop_map:
resi_dict = residues.get(ID, {})
resi_dict[key] = value
residues[ID] = resi_dict
elif key in _chain_prop_map:
chain_dict = chains.get(ID, {})
if ID not in chains:
chain_count = chain_count + 1
chain_dict['count'] = chain_count
chain_dict[key] = value
chains[ID] = chain_dict
chn_keys = list(chains.keys())
chn_keys.sort()
res_keys = list(residues.keys())
res_keys.sort()
# map chain properties onto residues
chn_resi = 0
ch_colors = copy.deepcopy(_ch_colors)
unique_chain_names = {}
for chn_idx in chn_keys:
chain_dict = chains[chn_idx]
cName = make_valid_name(chain_dict.get('cName', ''))
segi = cName[0:4]
chain = cName[-1:]
if not len(cName):
if 'count' in chain_dict:
cName = "chain_" + str(chain_dict['count'])
else:
cName = str(chn_idx)
if cName not in unique_chain_names:
unique_chain_names[cName] = cName
else:
cnt = 2
while (cName + "_" + str(cnt)) in unique_chain_names:
cnt = cnt + 1
newCName = cName + "_" + str(cnt)
unique_chain_names[newCName] = cName
cName = newCName
chain_dict['chain_color'] = ch_colors[0]
ch_colors = ch_colors[1:] + [ch_colors[0]]
cResCount = chain_dict.get('cResidueCount', 0)
for res_idx in range(chn_resi, chn_resi + cResCount):
resi_dict = residues[res_keys[res_idx]]
resi_dict['chain'] = chain
resi_dict['segi'] = segi
resi_dict['cName'] = cName
resi_dict['chain_dict'] = chain_dict
chn_resi = chn_resi + cResCount
# map residue properties onto atoms
res_atom = 0
for res_idx in res_keys:
resi_dict = residues[res_idx]
rRibbonMode = resi_dict.get('rRibbonMode', 'none')
rAtomCount = resi_dict['rAtomCount']
rType = resi_dict.get('rType', '')
if rAtomCount > 0:
for at_idx in range(res_atom, res_atom + rAtomCount):
atom = model.atom[at_idx]
setattr(
atom, 'resi',
string.strip(
str(resi_dict.get('rUID', '')) +
resi_dict.get('rINS', '')))
setattr(atom, 'resn', resi_dict.get('rName', ''))
setattr(atom, 'chain', resi_dict.get('chain', ''))
setattr(atom, 'segi', resi_dict.get('segi', ''))
setattr(atom, 'custom', resi_dict.get('cName', ''))
# add labels
if hasattr(atom, 'label_dict'):
label = ''
label_dict = atom.label_dict
if 'aLabelElement' in label_dict:
label = atom.symbol
if 'aLabelRes' in label_dict:
if len(label):
label = label + ","
label = label + atom.resn + "_" + atom.resi
if 'aLabelName' in label_dict:
if len(label):
label = label + "."
label = label + atom.name
atom.label = label
if rType not in ['none', 'heme']:
atom.hetatm = 0 # all normal atoms
else:
atom.flags = 0x02000000 # hetatom or ligand -- ignore when surfacing
if rRibbonMode != 'none':
if hasattr(atom, 'visible'):
visible = atom.visible
else:
visible = _default_visible
rRibbonColorBy = resi_dict['rRibbonColorBy']
repeat = 1
while repeat:
repeat = 0
if rRibbonColorBy in ['rgb', 'r:rgb'
]: # handled automatically
pass
elif rRibbonColorBy == 'chain':
chain_dict = resi_dict['chain_dict']
cColorBy = chain_dict['cColorBy']
if cColorBy == 'rgb':
cColorBy = 'c:rgb'
rRibbonColorBy = cColorBy
repeat = 1
rRibbon_color = 0
rRibbon_trgb = 0xFFFFFF # default -- white
# now color ribbon
if rRibbonColorBy == 'r:rgb':
rRibbon_trgb = resi_dict.get('rRGB', 0xFFFFFF)
elif rRibbonColorBy == 'rgb':
rRibbon_trgb = resi_dict.get(
'rRibbonRGB', 0xFFFFFF)
elif rRibbonColorBy == 'c:rgb':
chain_dict = resi_dict['chain_dict']
rRibbon_trgb = chain_dict.get('cRGB', 0xFFFFFF)
elif rRibbonColorBy == 'r:aseg':
rRibbon_trgb = None
rRibbon_color = aseg_color
aseg_flag = 1
elif rRibbonColorBy == 'tempfactor':
pass # TO DO
elif rRibbonColorBy == 'c:number': # per chain colors
rRibbon_trgb = chain_dict['chain_color']
if rRibbonMode in ['line', 'trace']:
atom.visible = 0x00000040 | visible # PyMOL ribbon
if rRibbon_trgb != None:
atom.ribbon_trgb = rRibbon_trgb
else:
atom.ribbon_color = rRibbon_color
aseg_rep['ribbon'] = 1
else:
atom.visible = 0x00000020 | visible # PyMOL cartoon
if rRibbon_trgb != None:
atom.cartoon_trgb = rRibbon_trgb
else:
atom.cartoon_color = rRibbon_color
aseg_rep['cartoon'] = 1
if hasattr(atom, 'label'):
if hasattr(atom, 'visible'):
visible = atom.visible
else:
visible = _default_visible
atom.visible = 0x00000028 | visible # labels
if not hasattr(atom, 'aColorBy'):
atom.aColorBy = 'element'
if hasattr(atom, 'aColorBy'):
aColorBy = atom.aColorBy
repeat = 1
while repeat:
repeat = 0
if aColorBy == 'ribbon':
aColorBy = resi_dict.get('rRibbonColorBy')
if aColorBy == 'rgb':
aColorBy = 'rib:rgb'
else:
repeat = 1
# TO DO still need to handle "cartoon_color", "ribbon_color"
elif aColorBy == 'element':
if hasattr(atom, 'trgb'):
del atom.trgb
elif aColorBy in ['rgb', 'a:rgb'
]: # handled automatically
pass
elif aColorBy == 'residue':
rColorBy = resi_dict.get('rColorBy')
if rColorBy == 'rgb':
rColorBy = 'r:rgb'
aColorBy = rColorBy
repeat = 1
elif aColorBy == 'chain':
chain_dict = resi_dict['chain_dict']
cColorBy = chain_dict['cColorBy']
if cColorBy == 'rgb':
cColorBy = 'c:rgb'
aColorBy = cColorBy
repeat = 1
# now color atom...
if aColorBy == 'r:rgb':
atom.trgb = resi_dict.get('rRGB', 0xFFFFFF)
elif aColorBy == 'rib:rgb':
atom.trgb = resi_dict.get('rRibbonRGB', 0xFFFFFF)
elif aColorBy == 'c:rgb':
chain_dict = resi_dict['chain_dict']
atom.trgb = chain_dict.get('cRGB', 0xFFFFFF)
elif aColorBy == 'r:aseg':
pass # TO DO
elif aColorBy == 'tempfactor':
pass # TO DO
elif aColorBy == 'c:number': # per chain colors
atom.trgb = chain_dict['chain_color']
res_atom = res_atom + rAtomCount
bond_list = molecule.get('bond', [])
for bond in bond_list:
new_bond = Bond()
new_bond.index = [bond[0] - 1, bond[1] - 1]
if len(bond) > 2:
new_bond.order = bond[2]
if bond[2] == 2: # work around .MOE bug with triple bonds
if model.atom[new_bond.index[0]].hybridization == 'sp':
if model.atom[new_bond.index[1]].hybridization == 'sp':
new_bond.order = 3
have_valences = 1
model.bond.append(new_bond)
if 'ViewOrientationY' in mr.system:
vy = mr.system['ViewOrientationY']
vz = mr.system['ViewOrientationZ']
pos = mr.system['ViewLookAt']
scale = mr.system['ViewScale']
vx = cpv.cross_product(vy, vz)
m = [cpv.normalize(vx), cpv.normalize(vy), cpv.normalize(vz)]
m = cpv.transpose(m)
asp_rat = 0.8 # MOE default (versus 0.75 for PyMOL)
cmd.set("field_of_view", 25.0)
fov = float(cmd.get("field_of_view"))
window_height = scale * asp_rat
dist = (0.5 * window_height) / math.atan(3.1415 *
(0.5 * fov) / 180.0)
new_view = tuple(m[0] + m[1] + m[2] + [0.0, 0.0, -dist] + pos +
[dist * 0.5, dist * 1.5, 0.0])
cmd.set_view(new_view)
zoom = 0
cmd.set("auto_color", 0)
cmd.set_color("carbon", [0.5, 0.5, 0.5]) # default MOE grey
obj_name = name + ".system"
if split_chains < 0: # by default, don't split chains if over 50 objects would be created
if len(unique_chain_names) > 50:
split_chains = 0
if not split_chains:
cmd.load_model(model,
obj_name,
state=state,
finish=finish,
discrete=discrete,
quiet=quiet,
zoom=zoom)
obj_name_list = [obj_name]
else:
cmd.load_model(model,
obj_name,
state=state,
finish=finish,
discrete=discrete,
quiet=1,
zoom=zoom)
obj_name_list = []
system_name = obj_name
for chain in unique_chain_names.keys():
obj_name = name + "." + chain
obj_name_list.append(obj_name)
cmd.select("_moe_ext_tmp",
"custom %s" % chain,
domain=system_name)
cmd.extract(obj_name, "_moe_ext_tmp", quiet=quiet, zoom=0)
# cmd.extract(obj_name,system_name+" and text_type %s"%chain,quiet=quiet)
cmd.delete("_moe_ext_tmp")
if not cmd.count_atoms(system_name):
cmd.delete(system_name)
else:
obj_name_list.append(system_name)
cmd.order(name + ".*", sort=1)
for obj_name in obj_name_list:
cmd.set("stick_radius", 0.1, obj_name)
cmd.set("line_width", 2.0, obj_name)
cmd.set("label_color", "white", obj_name)
cmd.set("nonbonded_size", 0.05,
obj_name) # temporary workaround...
if have_valences: # if this MOE file has valences, then show em!
cmd.set("valence", 1, obj_name)
cmd.set("stick_valence_scale", 1.25, obj_name)
if aseg_flag:
cmd.dss(obj_name)
if 'cartoon' in aseg_rep:
cmd.set("cartoon_color", "red",
obj_name + " and cartoon_color _aseg0 and ss h")
cmd.set("cartoon_color", "yellow",
obj_name + " and cartoon_color _aseg0 and ss s")
cmd.set(
"cartoon_color", "cyan",
obj_name + " and cartoon_color _aseg0 and not ss h+s")
if 'ribbon' in aseg_rep:
cmd.set("ribbon_color", "red",
obj_name + " and ribbon_color _aseg0 and ss h"
) # need selection op ribbon_color
cmd.set("ribbon_color", "yellow",
obj_name + " and ribbon_color _aseg0 and ss s")
cmd.set(
"ribbon_color", "cyan",
obj_name + " and ribbon_color _aseg0 and not ss h+s")
if 'ViewZFront' in mr.system:
moe_front = mr.system['ViewZFront']
moe_width = mr.system['ViewZWidth']
extent = cmd.get_extent(
name) # will this work with groups? TO DO: check!
dx = (extent[0][0] - extent[1][0])
dy = (extent[0][1] - extent[1][1])
dz = (extent[0][2] - extent[1][2])
half_width = 0.5 * math.sqrt(dx * dx + dy * dy + dz * dz)
cmd.clip("atoms", 0.0, name)
cur_view = cmd.get_view()
center = (cur_view[-3] +
cur_view[-2]) * 0.5 # center of clipping slab
front = center - half_width
back = center + half_width
width = half_width * 2
new_view = tuple(
list(cur_view[0:15]) + [
front + width * moe_front, front + width *
(moe_front + moe_width), 0.0
])
cmd.set_view(new_view)
if 'graphics' in mr.system:
cgo_cnt = 1
lab_cnt = 1
unique_cgo_names = {}
for graphics in mr.system['graphics']:
cgo = []
for gvertex in graphics.get('gvertex', []):
vrt = gvertex[0]
seg_list = gvertex[1]['seg']
idx = gvertex[1]['idx']
len_idx = len(idx)
if not cmd.is_list(seg_list):
seg_list = [seg_list] * (len_idx / seg_list)
last_seg = None
ix_start = 0
for seg in seg_list:
if seg != last_seg:
if last_seg != None:
cgo.append(END)
if seg == 3:
cgo.extend([BEGIN, TRIANGLES])
elif seg == 2:
cgo.extend([BEGIN, LINES])
elif seg == 1:
cgo.extend([BEGIN, POINTS])
ix_stop = seg + ix_start
if seg == 3:
for s in idx[ix_start:ix_stop]:
v = vrt[s - 1]
cgo.extend([
COLOR, (0xFF & (v[0] >> 16)) / 255.0,
(0xFF & (v[0] >> 8)) / 255.0,
(0xFF & (v[0])) / 255.0
])
if len(v) > 4:
cgo.extend([NORMAL, v[4], v[5], v[6]])
cgo.extend([VERTEX, v[1], v[2], v[3]])
elif seg == 2:
for s in idx[ix_start:ix_stop]:
v = vrt[s - 1]
cgo.extend([
COLOR, (0xFF & (v[0] >> 16)) / 255.0,
(0xFF & (v[0] >> 8)) / 255.0,
(0xFF & (v[0])) / 255.0
])
if len(v) > 4:
cgo.extend([NORMAL, v[4], v[5], v[6]])
cgo.extend([VERTEX, v[1], v[2], v[3]])
elif seg == 1:
for s in idx[ix_start:ix_stop]:
v = vrt[s - 1]
cgo.extend([
COLOR, (0xFF & (v[0] >> 16)) / 255.0,
(0xFF & (v[0] >> 8)) / 255.0,
(0xFF & (v[0])) / 255.0
])
if len(v) > 4:
cgo.extend([NORMAL, v[4], v[5], v[6]])
cgo.extend([VERTEX, v[1], v[2], v[3]])
ix_start = ix_stop
last_seg = seg
if last_seg != None:
cgo.append(END)
for gtext in graphics.get('gtext', []):
lab_name = name + ".label_%02d" % lab_cnt
exists = 0
for entry in gtext:
exists = 1
cmd.pseudoatom(lab_name,
pos=[
float(entry[1]),
float(entry[2]),
float(entry[3])
],
color="0x%06x" % entry[0],
label=entry[4])
if exists:
cmd.set('label_color', -1, lab_name)
lab_cnt = lab_cnt + 1
# TO DO -- via CGO's?
if len(cgo):
cgo_name = name + "." + make_valid_name(
graphics.get('GTitle', 'graphics'))
if cgo_name not in unique_cgo_names:
unique_cgo_names[cgo_name] = cgo_name
else:
cnt = 2
while cgo_name + "_" + str(cnt) in unique_cgo_names:
cnt = cnt + 1
new_name = cgo_name + "_" + str(cnt)
unique_cgo_names[new_name] = new_name
cgo_name = new_name
cmd.load_cgo(cgo,
cgo_name,
state=state,
quiet=quiet,
zoom=0)
cgo_cnt = cgo_cnt + 1
cmd.set("two_sided_lighting", 1) # global setting...
cmd.set("cgo_line_width", 2, cgo_name)
if 'GTransparency' in graphics:
g_trans = graphics['GTransparency']
if len(g_trans) >= 2:
if g_trans[0] != 0:
cmd.set('cgo_transparency',
'%1.6f' % (g_trans[0] / 255.0),
cgo_name)
cmd.set('transparency_global_sort')
if 'meter' in mr.system:
meter_name = name + ".meter"
exists = 0
for meter_block in mr.system['meter']:
if meter_block[0][0:2] == ['type', 'atoms']:
for meter in meter_block[1]:
(type, atoms) = meter[0:2]
arg = tuple([meter_name] + list(
map(lambda x, o=name: o + " and id " + str(x - 1),
atoms)))
getattr(cmd, type)(*arg)
exists = 1
if exists:
cmd.color("green", meter_name)
# print mr.system['meter']
elif hasattr(mr, 'feature'):
model = Indexed()
cols = mr.feature[0]
rows = mr.feature[1]
col = {}
cnt = 0
for a in cols:
col[a] = cnt
cnt = cnt + 1
for row in rows:
atom = Atom()
atom.coord = [row[col['x']], row[col['y']], row[col['z']]]
atom.vdw = row[col['r']]
atom.custom = row[col['expr']]
model.atom.append(atom)
obj_name = name + ".feature"
cmd.load_model(model,
obj_name,
state=state,
finish=finish,
discrete=discrete,
quiet=quiet,
zoom=zoom)
rank = 1
for row in rows:
cmd.color("0x%06x" % row[col['color']],
obj_name + " & id %d" % (rank - 1))
rank = rank + 1
cmd.show("mesh", obj_name)
cmd.set("min_mesh_spacing", 0.55, obj_name)
cmd.label(obj_name, "' '+custom")
cmd.set("label_color", "yellow", obj_name)
else:
print(dir(mr))
def biomolecule(name=None, filename=None, prefix=None, number=1, suffix=None,
quiet=0):
'''
DESCRIPTION
Create biological unit (quaternary structure) as annotated by the REMARK
350 BIOMOLECULE record.
USAGE
biomolecule name [, filename [, prefix [, number ]]]
ARGUMENTS
name = string: name of object and basename of PDB file, if
filename is not given {default: first loaded object}
filename = string: file to read remarks from {default: <name>.pdb}
prefix = string: prefix for new objects {default: <name>}
EXAMPLE
fetch 1rmv, async=0
biomolecule 1rmv
'''
import os
from .importing import local_mirror_pdb
try:
import numpy
except ImportError:
numpy = None
number, quiet = int(number), int(quiet)
if name is None:
name = cmd.get_object_list()[0]
if prefix is None:
prefix = name
if suffix is None:
suffix = str(number)
if filename is None:
candidates = [
'%s.pdb' % (name),
'%s/%s.pdb' % (cmd.get('fetch_path'), name),
local_mirror_pdb(name),
]
for filename in candidates:
if os.path.exists(filename):
break
else:
print('please provide filename')
raise CmdException
if not quiet:
print('loading from %s' % (filename))
remarks = pdbremarks(filename)
if 350 not in remarks:
print('There is no REMARK 350 in', filename)
raise CmdException
current = 1
biomt = {current: {}}
chains = tuple()
for line in remarks[350]:
if line.startswith('BIOMOLECULE:'):
current = int(line[12:])
biomt[current] = {}
elif line.startswith('APPLY THE FOLLOWING TO CHAINS:'):
chains = tuple(chain.strip() for chain in line[30:].split(','))
elif line.startswith(' AND CHAINS:'):
chains += tuple(chain.strip() for chain in line[30:].split(','))
elif line.startswith(' BIOMT'):
row = int(line[7])
num = int(line[8:12])
vec = line[12:].split()
vec = list(map(float, vec))
biomt[current].setdefault(chains, dict()).setdefault(num, []).extend(vec)
if number not in biomt or len(biomt[number]) == 0:
print(' Error: no BIOMOLECULE number %d' % (number))
raise CmdException
if numpy is not None:
mat_source = numpy.reshape(cmd.get_object_matrix(name), (4,4))
mat_source = numpy.matrix(mat_source)
for chains, matrices in biomt[number].items():
for num in matrices:
mat = matrices[num][0:12]
mat.extend([0,0,0,1])
copy = '%s_%s_%d' % (prefix, suffix, num)
if not quiet:
print('creating %s' % (copy))
cmd.create(copy, 'model %s and chain %s' % (name, '+'.join(chains)))
cmd.alter(copy, 'segi="%d"' % (num))
if numpy is not None:
mat = mat_source * numpy.reshape(mat, (4,4)) * mat_source.I
mat = list(mat.flat)
cmd.transform_object(copy, mat)
cmd.disable(name)
cmd.group('%s_%s' % (prefix, suffix), '%s_%s_*' % (prefix, suffix))
def show_contacts(selection,
selection2,
result="contacts",
cutoff=3.6,
bigcutoff=4.0,
labels=False,
SC_DEBUG=DEBUG):
"""
USAGE
show_contacts selection, selection2, [result=contacts],[cutoff=3.6],[bigcutoff=4.0]
Show various polar contacts, the good, the bad, and the ugly.
Edit MPB 6-26-14: The distances are heavy atom distances, so I upped the default cutoff to 4.0
Returns:
True/False - if False, something went wrong
"""
if SC_DEBUG > 4:
print('Starting show_contacts')
print('selection = "' + selection + '"')
print('selection2 = "' + selection2 + '"')
result = cmd.get_legal_name(result)
#if the group of contacts already exist, delete them
cmd.delete(result)
# ensure only N and O atoms are in the selection
all_don_acc1 = selection + " and (donor or acceptor)"
all_don_acc2 = selection2 + " and (donor or acceptor)"
if SC_DEBUG > 4:
print('all_don_acc1 = "' + all_don_acc1 + '"')
print('all_don_acc2 = "' + all_don_acc2 + '"')
#if theses selections turn out not to have any atoms in them, pymol throws cryptic errors when calling the dist function like:
#'Selector-Error: Invalid selection name'
#So for each one, manually perform the selection and then pass the reference to the distance command and at the end, clean up the selections
#the return values are the count of the number of atoms
all1_sele_count = cmd.select('all_don_acc1_sele', all_don_acc1)
all2_sele_count = cmd.select('all_don_acc2_sele', all_don_acc2)
#print out some warnings
if DEBUG > 3:
if not all1_sele_count:
print('Warning: all_don_acc1 selection empty!')
if not all2_sele_count:
print('Warning: all_don_acc2 selection empty!')
########################################
allres = result + "_all"
if all1_sele_count and all2_sele_count:
#print(allres)
#print(cmd.get_distance(allres, 'all_don_acc1_sele', 'all_don_acc2_sele', bigcutoff, mode = 0))
any = cmd.distance(allres,
'all_don_acc1_sele',
'all_don_acc2_sele',
bigcutoff,
mode=0)
# if any is 0 it seems that there is no distance!
if any:
cmd.set("dash_radius", "0.05", allres)
if not labels:
cmd.hide("labels", allres)
else:
# just do nothing and clena up
print('no contacts')
cmd.delete('all_don_acc1_sele')
cmd.delete('all_don_acc2_sele')
cmd.delete(result + "_all")
return None
########################################
#compute good polar interactions according to pymol
polres = result + "_polar"
if all1_sele_count and all2_sele_count:
cmd.distance(polres,
'all_don_acc1_sele',
'all_don_acc2_sele',
cutoff,
mode=2) #hopefully this checks angles? Yes
#cmd.set("dash_color", "marine", allres)
#cmd.set('dash_gap', '0')
cmd.set("dash_radius", "0.2", polres) #"0.126"
#cmd.set("dash_color", "marine", allres)
if not labels:
cmd.hide("labels", polres)
########################################
#When running distance in mode=2, the cutoff parameter is ignored if set higher then the default of 3.6
#so set it to the passed in cutoff and change it back when you are done.
old_h_bond_cutoff_center = cmd.get(
'h_bond_cutoff_center') # ideal geometry
old_h_bond_cutoff_edge = cmd.get(
'h_bond_cutoff_edge') # minimally acceptable geometry
cmd.set('h_bond_cutoff_center', bigcutoff)
cmd.set('h_bond_cutoff_edge', bigcutoff)
#compute possibly suboptimal polar interactions using the user specified distance
pol_ok_res = result + "_polar_ok"
if all1_sele_count and all2_sele_count:
cmd.distance(pol_ok_res,
'all_don_acc1_sele',
'all_don_acc2_sele',
bigcutoff,
mode=2)
cmd.set("dash_radius", "0.06", pol_ok_res)
if not labels:
cmd.hide("labels", pol_ok_res)
#now reset the h_bond cutoffs
cmd.set('h_bond_cutoff_center', old_h_bond_cutoff_center)
cmd.set('h_bond_cutoff_edge', old_h_bond_cutoff_edge)
########################################
onlyacceptors1 = selection + " and (acceptor and !donor)"
onlyacceptors2 = selection2 + " and (acceptor and !donor)"
onlydonors1 = selection + " and (!acceptor and donor)"
onlydonors2 = selection2 + " and (!acceptor and donor)"
#perform the selections
onlyacceptors1_sele_count = cmd.select('onlyacceptors1_sele',
onlyacceptors1)
onlyacceptors2_sele_count = cmd.select('onlyacceptors2_sele',
onlyacceptors2)
onlydonors1_sele_count = cmd.select('onlydonors1_sele', onlydonors1)
onlydonors2_sele_count = cmd.select('onlydonors2_sele', onlydonors2)
#print out some warnings
if SC_DEBUG > 2:
if not onlyacceptors1_sele_count:
print('Warning: onlyacceptors1 selection empty!')
if not onlyacceptors2_sele_count:
print('Warning: onlyacceptors2 selection empty!')
if not onlydonors1_sele_count:
print('Warning: onlydonors1 selection empty!')
if not onlydonors2_sele_count:
print('Warning: onlydonors2 selection empty!')
# acceptors acceptors
accres = result + "_aa"
if onlyacceptors1_sele_count and onlyacceptors2_sele_count:
aa_dist_out = cmd.distance(accres, 'onlyacceptors1_sele',
'onlyacceptors2_sele', cutoff, 0)
if aa_dist_out < 0:
print(
'\n\nCaught a pymol selection error in acceptor-acceptor selection of show_contacts'
)
print('accres:', accres)
print('onlyacceptors1', onlyacceptors1)
print('onlyacceptors2', onlyacceptors2)
return False
cmd.set("dash_color", "red", accres)
cmd.set("dash_radius", "0.125", accres)
if not labels:
cmd.hide("labels", accres)
########################################
# donors donors
donres = result + "_dd"
if onlydonors1_sele_count and onlydonors2_sele_count:
dd_dist_out = cmd.distance(donres, 'onlydonors1_sele',
'onlydonors2_sele', cutoff, 0)
#try to catch the error state
if dd_dist_out < 0:
print(
'\n\nCaught a pymol selection error in dd selection of show_contacts'
)
print('donres:', donres)
print('onlydonors1', onlydonors1)
print('onlydonors2', onlydonors2)
print("cmd.distance('" + donres + "', '" + onlydonors1 + "', '" +
onlydonors2 + "', " + str(cutoff) + ", 0)")
return False
cmd.set("dash_color", "red", donres)
cmd.set("dash_radius", "0.125", donres)
if not labels:
cmd.hide("labels", donres)
##########################################################
##### find the buried unpaired atoms of the receptor #####
##########################################################
#initialize the variable for when CALC_SASA is False
unpaired_atoms = ''
## Group
print(allres) # contacts_all
cmd.group(
result, "%s %s %s %s %s %s" %
(polres, allres, accres, donres, pol_ok_res, unpaired_atoms))
## Clean up the selection objects
#if the show_contacts debug level is high enough, don't delete them.
if SC_DEBUG < 5:
cmd.delete('all_don_acc1_sele')
cmd.delete('all_don_acc2_sele')
cmd.delete('onlyacceptors1_sele')
cmd.delete('onlyacceptors2_sele')
cmd.delete('onlydonors1_sele')
cmd.delete('onlydonors2_sele')
return True
def elbow_angle(obj, light='L', heavy='H', limit_l=107, limit_h=113, draw=0):
"""
DESCRIPTION
Calculates the integer elbow angle of an antibody Fab complex and
optionally draws a graphical representation of the vectors used to
determine the angle.
ARGUMENTS
obj = string: object
light/heavy = strings: chain ID of light and heavy chains, respectively
limit_l/limit_h = integers: residue numbers of the last residue in the
light and heavy chain variable domains, respectively
draw = boolean: Choose whether or not to draw the angle visualization
REQUIRES: com.py, transformations.py, numpy (see above)
"""
# store current view
orig_view = cmd.get_view()
limit_l = int(limit_l)
limit_h = int(limit_h)
draw = int(draw)
# for temp object names
tmp_prefix = "tmp_elbow_"
prefix = tmp_prefix + obj + '_'
# names
vl = prefix + 'VL'
vh = prefix + 'VH'
cl = prefix + 'CL'
ch = prefix + 'CH'
# selections
vl_sel = 'polymer and %s and chain %s and resi 1-%i' % (obj, light, limit_l)
vh_sel = 'polymer and %s and chain %s and resi 1-%i' % (obj, heavy, limit_h)
cl_sel = 'polymer and %s and chain %s and not resi 1-%i' % (obj, light, limit_l)
ch_sel = 'polymer and %s and chain %s and not resi 1-%i' % (obj, heavy, limit_h)
v_sel = '((' + vl_sel + ') or (' + vh_sel + '))'
c_sel = '((' + cl_sel + ') or (' + ch_sel + '))'
# create temp objects
cmd.create(vl, vl_sel)
cmd.create(vh, vh_sel)
cmd.create(cl, cl_sel)
cmd.create(ch, ch_sel)
# superimpose vl onto vh, calculate axis and angle
Rv = calc_super_matrix(vl, vh)
angle_v, direction_v, point_v = transformations.rotation_from_matrix(Rv)
# superimpose cl onto ch, calculate axis and angle
Rc = calc_super_matrix(cl, ch)
angle_c, direction_c, point_c = transformations.rotation_from_matrix(Rc)
# delete temporary objects
cmd.delete(vl)
cmd.delete(vh)
cmd.delete(cl)
cmd.delete(ch)
# if dot product is positive, angle is acute
if (numpy.dot(direction_v, direction_c) > 0):
direction_c = direction_c * -1 # ensure angle is > 90 (need to standardize this)
# TODO: make both directions point away from the elbow axis.
elbow = int(numpy.degrees(numpy.arccos(numpy.dot(direction_v, direction_c))))
# while (elbow < 90):
# elbow = 180 - elbow # limit to physically reasonable range
# compare the direction_v and direction_c axes to the vector defined by
# the C-alpha atoms of limit_l and limit_h of the original fab
hinge_l_sel = "%s//%s/%s/CA" % (obj, light, limit_l)
hinge_h_sel = "%s//%s/%s/CA" % (obj, heavy, limit_h)
hinge_l = cmd.get_atom_coords(hinge_l_sel)
hinge_h = cmd.get_atom_coords(hinge_h_sel)
hinge_vec = numpy.array(hinge_h) - numpy.array(hinge_l)
test = numpy.dot(hinge_vec, numpy.cross(direction_v, direction_c))
if (test > 0):
elbow = 360 - elbow
print " Elbow angle: %i degrees" % elbow
if (draw == 1):
# there is probably a more elegant way to do this, but
# it works so I'm not going to mess with it for now
pre = obj + '_elbow_'
# draw hinge vector
cmd.pseudoatom(pre + "hinge_l", pos=hinge_l)
cmd.pseudoatom(pre + "hinge_h", pos=hinge_h)
cmd.distance(pre + "hinge_vec", pre + "hinge_l", pre + "hinge_h")
cmd.set("dash_gap", 0)
# draw the variable domain axis
com_v = com.COM(v_sel)
start_v = [a - 10 * b for a, b in zip(com_v, direction_v)]
end_v = [a + 10 * b for a, b in zip(com_v, direction_v)]
cmd.pseudoatom(pre + "start_v", pos=start_v)
cmd.pseudoatom(pre + "end_v", pos=end_v)
cmd.distance(pre + "v_vec", pre + "start_v", pre + "end_v")
# draw the constant domain axis
com_c = com.COM(c_sel)
start_c = [a - 10 * b for a, b in zip(com_c, direction_c)]
end_c = [a + 10 * b for a, b in zip(com_c, direction_c)]
cmd.pseudoatom(pre + "start_c", pos=start_c)
cmd.pseudoatom(pre + "end_c", pos=end_c)
cmd.distance(pre + "c_vec", pre + "start_c", pre + "end_c")
# customize appearance
cmd.hide("labels", pre + "hinge_vec")
cmd.hide("labels", pre + "v_vec")
cmd.hide("labels", pre + "c_vec")
cmd.color("green", pre + "hinge_l")
cmd.color("red", pre + "hinge_h")
cmd.color("black", pre + "hinge_vec")
cmd.color("black", pre + "start_v")
cmd.color("black", pre + "end_v")
cmd.color("black", pre + "v_vec")
cmd.color("black", pre + "start_c")
cmd.color("black", pre + "end_c")
cmd.color("black", pre + "c_vec")
# draw spheres
cmd.show("spheres", pre + "hinge_l or " + pre + "hinge_h")
cmd.show("spheres", pre + "start_v or " + pre + "start_c")
cmd.show("spheres", pre + "end_v or " + pre + "end_c")
cmd.set("sphere_scale", 2)
cmd.set("dash_gap", 0, pre + "hinge_vec")
cmd.set("dash_width", 5)
cmd.set("dash_radius", 0.3)
# group drawing objects
cmd.group(pre, pre + "*")
# restore original view
cmd.set_view(orig_view)
return 0
def quat(name=None, filename=None, prefix=None, quiet=0):
'''
DESCRIPTION
Read REMARK 350 from `filename` and create biological unit
(quaternary structure)
USAGE
quat [name [, filename [, prefix]]]
ARGUMENTS
name = string: name of object and basename of PDB file, if
filename is not given {default: first loaded object}
filename = string: file path {default: <name>.pdb}
prefix = string: prefix for new objects {default: <name>}
EXAMPLE
fetch 1rmv
quat 1rmv
'''
quiet = int(quiet)
if name is None:
name = cmd.get_object_list()[0]
if prefix is None:
prefix = name
if filename is None:
candidates = [
'%s.pdb' % (name),
'%s/%s.pdb' % (cmd.get('fetch_path'), name),
'%s/%s/pdb%s.ent.gz' % (local_mirror_divided, name[1:3], name),
]
for filename in candidates:
if os.path.exists(filename):
break
else:
print 'please provide filename'
return
if not quiet:
print 'loading from %s' % (filename)
remarks = pdbremarks(filename)
if 350 not in remarks:
print 'There is no REMARK 350 in', filename
return
quat = quat350(remarks[350])
for chains in quat:
matrices = quat[chains]
for num in matrices:
mat = matrices[num][0:12]
mat.extend([0,0,0,1])
copy = '%s_%d' % (prefix, num)
if not quiet:
print 'creating %s' % (copy)
cmd.create(copy, '/%s//%s' % (name, '+'.join(chains)))
cmd.alter(copy, 'segi="%d"' % (num))
cmd.transform_object(copy, mat)
cmd.disable(name)
cmd.group('%s_quat' % (prefix), '%s_*' % (prefix))
surf_transparency = 0.2
if dirpath:
gfiles = [join(dirpath, g) for g in gfiles]
for t in threshold_list:
for i in range(len(grids)):
try:
cmd.load(r'%s' % (gfiles[i]), '%s_%s' % (grids[i], str(num)))
cmd.isosurface('surface_%s_%s_%s' % (grids[i], t, num),
'%s_%s' % (grids[i], num), t)
cmd.set('transparency', surf_transparency,
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.color(colour_dict['%s' % (grids[i])],
'surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t),
members='surface_%s_%s_%s' % (grids[i], t, num))
cmd.group('threshold_%s' % (t), members='label_threshold_%s' % (t))
except:
continue
try:
cmd.group('hotspot_%s' % (num), members='threshold_%s' % (t))
except:
continue
for g in grids:
cmd.group('hotspot_%s' % (num), members='%s_%s' % (g, num))
cmd.bg_color("white")
cmd.show("cartoon", "protein")
def uniprot_features(uniprot_id, selection='(all)', withss=0,
prefix='feature_', quiet=1):
'''
DESCRIPTION
Fetch feature list from uniprot.org and create named selections.
Requires residue numbering (resi) to match uniprot sequence!
ARGUMENTS
uniprot_id = string: UniProtKB name or accession
selection = string: atom selection {default: all}
withss = 0/1: update secondary structure {default: 0}
'''
import xml.etree.ElementTree as etree
from urllib import urlopen
withss, quiet = int(withss), int(quiet)
url = 'http://www.uniprot.org/uniprot/%s.xml' % uniprot_id
if not quiet:
print 'Downloading', url
doc = etree.parse(urlopen(url))
ns = 'http://uniprot.org/uniprot'
NS = {'u': ns}
if not quiet:
print 'Parsing Features'
features = doc.findall('{%s}entry/{%s}feature' % (ns, ns))
if withss == 1:
cmd.alter(selection, 'ss="L"')
ssmap = {'helix': 'H', 'strand': 'S', 'turn': 'L'}
norange_types = ['disulfide bond']
count = 0
for feature in features:
type = feature.get('type')
begin = feature.find('{%s}location/{%s}begin' % (ns, ns))
if begin is not None:
end = feature.find('{%s}location/{%s}end' % (ns, ns))
values = (selection, begin.get('position'), end.get('position'))
if type in norange_types:
sel = '(%s) and resi %s+%s' % values
else:
sel = '(%s) and resi %s-%s' % values
else:
position = feature.find('{%s}location/{%s}position' % (ns, ns))
sel = '(%s) and resi %s' % (selection, position.get('position'))
if type in ['helix', 'strand', 'turn'] and withss < 2:
if withss == 1:
cmd.alter(sel, 'ss="%s"' % ssmap.get(type, 'L'))
else:
count += 1
name = cmd.get_legal_name('%s%03d_%s' % (prefix, count,
feature.get('description', '').replace('.', '')))
groupname = cmd.get_legal_name('%s%s' % (prefix, type))
cmd.select(name, sel)
cmd.group(groupname, name, 'add')
if not quiet:
print 'Found %d feature records (without secondary structures)' % count