def exercise_xray_structure(use_u_aniso, verbose=0):
structure = random_structure.xray_structure(
space_group_info=sgtbx.space_group_info("P 31"),
elements=["N", "C", "C", "O", "Si"] * 2,
volume_per_atom=500,
min_distance=2.0,
general_positions_only=False,
random_u_iso=True,
use_u_aniso=use_u_aniso,
)
f_abs = abs(structure.structure_factors(anomalous_flag=False, d_min=2, algorithm="direct").f_calc())
for resname in (None, "res"):
for fractional_coordinates in (False, True):
pdb_file = structure.as_pdb_file(
remark="Title", remarks=["Any", "Thing"], fractional_coordinates=fractional_coordinates, resname=resname
)
if 0 or verbose:
sys.stdout.write(pdb_file)
structure_read = iotbx.pdb.input(
source_info=None, lines=flex.std_string(pdb_file.splitlines())
).xray_structure_simple(fractional_coordinates=fractional_coordinates, use_scale_matrix_if_available=False)
f_read = abs(
f_abs.structure_factors_from_scatterers(xray_structure=structure_read, algorithm="direct").f_calc()
)
regression = flex.linear_regression(f_abs.data(), f_read.data())
assert regression.is_well_defined()
if 0 or verbose:
regression.show_summary()
assert approx_equal(regression.slope(), 1, eps=1.0e-2)
assert approx_equal(regression.y_intercept(), 0, eps=flex.max(f_abs.data()) * 0.01)
def _write_map(self, file_name):
iotbx.mrcfile.write_ccp4_map(
file_name=file_name,
unit_cell=self.unit_cell,
space_group=self.model.crystal_symmetry().space_group(),
map_data=self.map_data.as_double(),
labels=flex.std_string([""]))
def _nonbonded_pair_objects(
max_bonded_cutoff=3.,
i_seqs=None,
):
if i_seqs is None:
atoms = self.pdb_hierarchy.atoms()
i_seqs = flex.size_t()
for atom in atoms:
i_seqs.append(atom.i_seq)
if (self.model_indices is not None):
model_indices = self.model_indices.select(i_seqs)
conformer_indices = self.conformer_indices.select(i_seqs)
sym_excl_indices = self.sym_excl_indices.select(i_seqs)
donor_acceptor_excl_groups = self.donor_acceptor_excl_groups.select(
i_seqs)
asu_mappings = self.special_position_settings.asu_mappings(
buffer_thickness=max_bonded_cutoff)
sites_cart = self.sites_cart.select(i_seqs)
asu_mappings.process_sites_cart(
original_sites=sites_cart,
site_symmetry_table=self.site_symmetry_table().select(i_seqs))
pair_asu_table = crystal.pair_asu_table(asu_mappings=asu_mappings)
nonbonded_proxies = geometry_restraints.nonbonded_sorted_asu_proxies(
model_indices=model_indices,
conformer_indices=conformer_indices,
sym_excl_indices=sym_excl_indices,
donor_acceptor_excl_groups=donor_acceptor_excl_groups,
nonbonded_params=geometry_restraints.nonbonded_params(
default_distance=1),
nonbonded_types=flex.std_string(conformer_indices.size()),
nonbonded_charges=flex.int(conformer_indices.size(), 0),
nonbonded_distance_cutoff_plus_buffer=max_bonded_cutoff,
min_cubicle_edge=5,
shell_asu_tables=[pair_asu_table])
return nonbonded_proxies, sites_cart, pair_asu_table, asu_mappings, i_seqs
def _wrap_loop_if_needed(self, cif_block, name):
data = cif_block.get(name)
if data is None:
return data
if isinstance(data, string_types):
data = flex.std_string([data])
return data
def write_map_box(self, box, filename):
mrcfile.write_ccp4_map(
file_name = filename,
unit_cell = box.xray_structure_box.unit_cell(),
space_group = box.xray_structure_box.space_group(),
map_data = box.map_box,
labels = flex.std_string([""]))
def exercise_1():
processed_pdb_file = pdb_interpretation.process(
mon_lib_srv = server.server(),
ener_lib = server.ener_lib(),
raw_records = flex.std_string(pdb_str_1.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
grm = processed_pdb_file.geometry_restraints_manager()
pdb_hierarchy = processed_pdb_file.all_chain_proxies.pdb_hierarchy
sites_cart = pdb_hierarchy.atoms().extract_xyz()
# c-beta restraints are added by default!!!
assert len(grm.get_c_beta_torsion_proxies()) == 4
#test global selection and removing c-beta restraints
tst_boolsel = pdb_hierarchy.atom_selection_cache().selection("resname TYR")
tst_iselection = tst_boolsel.iselection()
#test global selection
grm2 = grm.select(iselection=tst_iselection)
assert len(grm2.get_c_beta_torsion_proxies()) == 2
grm2 = grm.select(selection=tst_boolsel)
assert len(grm2.get_c_beta_torsion_proxies()) == 2
#remove a selection
grm.remove_c_beta_torsion_restraints_in_place(selection=tst_iselection)
assert len(grm.get_c_beta_torsion_proxies()) == 2
#add a selection
grm.remove_c_beta_torsion_restraints_in_place()
assert len(grm.get_c_beta_torsion_proxies()) == 0
c_beta_torsion_proxies = c_beta.get_c_beta_torsion_proxies(
pdb_hierarchy,
selection=tst_iselection,
sigma=2.5)
assert len(c_beta_torsion_proxies) == 2
def get_pair_sym_table(xray_structure):
asu_mappings = xray_structure.asu_mappings(buffer_thickness=3.5)
pair_asu_table = crystal.pair_asu_table(asu_mappings=asu_mappings)
scattering_types = xray_structure.scatterers().extract_scattering_types()
pair_asu_table.add_covalent_pairs(
scattering_types, exclude_scattering_types=flex.std_string(("H","D")))
return pair_asu_table.extract_pair_sym_table()
def exercise_1():
processed_pdb_file = pdb_interpretation.process(
mon_lib_srv = server.server(),
ener_lib = server.ener_lib(),
raw_records = flex.std_string(pdb_str_1.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
grm = processed_pdb_file.geometry_restraints_manager()
pdb_hierarchy = processed_pdb_file.all_chain_proxies.pdb_hierarchy
sites_cart = pdb_hierarchy.atoms().extract_xyz()
# c-beta restraints are added by default!!!
assert len(grm.get_c_beta_torsion_proxies()) == 4
#test global selection and removing c-beta restraints
tst_boolsel = pdb_hierarchy.atom_selection_cache().selection("resname TYR")
tst_iselection = tst_boolsel.iselection()
#test global selection
grm2 = grm.select(iselection=tst_iselection)
assert len(grm2.get_c_beta_torsion_proxies()) == 2
grm2 = grm.select(selection=tst_boolsel)
assert len(grm2.get_c_beta_torsion_proxies()) == 2
#remove a selection
grm.remove_c_beta_torsion_restraints_in_place(selection=tst_iselection)
assert len(grm.get_c_beta_torsion_proxies()) == 2
#add a selection
grm.remove_c_beta_torsion_restraints_in_place()
assert len(grm.get_c_beta_torsion_proxies()) == 0
c_beta_torsion_proxies = c_beta.get_c_beta_torsion_proxies(
pdb_hierarchy,
selection=tst_iselection,
sigma=2.5)
assert len(c_beta_torsion_proxies) == 2
def write_files(results, mask_output, debug, f_obs, prefix, log):
# write mask files (if specified)
if (mask_output):
masks = [
results.mask_data_all, results.mask_data_omit,
results.mask_data_polder
]
filenames = ["all", "omit", "polder"]
for mask_data, filename in zip(masks, filenames):
ccp4_map.write_ccp4_map(file_name="mask_" + filename + ".ccp4",
unit_cell=f_obs.unit_cell(),
space_group=f_obs.space_group(),
map_data=mask_data,
labels=flex.std_string([""]))
mtz_dataset = results.mc_polder.as_mtz_dataset(
column_root_label="mFo-DFc_polder")
# add map coeffs for biased map if debug=True
if (debug):
mtz_dataset.add_miller_array(miller_array=results.mc_biased,
column_root_label="mFo-DFc_bias_omit")
mtz_dataset.add_miller_array(miller_array=results.mc_omit,
column_root_label="mFo-DFc_omit")
mtz_object = mtz_dataset.mtz_object()
polder_file_name = "polder_map_coeffs.mtz"
if (prefix is not None):
polder_file_name = prefix + "_" + polder_file_name
mtz_object.write(file_name=polder_file_name)
print >> log, 'File %s was written.' % polder_file_name
def _nonbonded_pair_objects(max_bonded_cutoff=3.,
i_seqs=None,
):
if i_seqs is None:
atoms = self.pdb_hierarchy.atoms()
i_seqs = flex.size_t()
for atom in atoms:
i_seqs.append(atom.i_seq)
if (self.model_indices is not None):
model_indices = self.model_indices.select(i_seqs)
conformer_indices = self.conformer_indices.select(i_seqs)
sym_excl_indices = self.sym_excl_indices.select(i_seqs)
donor_acceptor_excl_groups = self.donor_acceptor_excl_groups.select(i_seqs)
asu_mappings = self.special_position_settings.asu_mappings(
buffer_thickness=max_bonded_cutoff)
sites_cart = self.sites_cart.select(i_seqs)
asu_mappings.process_sites_cart(
original_sites=sites_cart,
site_symmetry_table=self.site_symmetry_table().select(i_seqs))
pair_asu_table = crystal.pair_asu_table(asu_mappings=asu_mappings)
nonbonded_proxies = geometry_restraints.nonbonded_sorted_asu_proxies(
model_indices=model_indices,
conformer_indices=conformer_indices,
sym_excl_indices=sym_excl_indices,
donor_acceptor_excl_groups=donor_acceptor_excl_groups,
nonbonded_params=geometry_restraints.nonbonded_params(
default_distance=1),
nonbonded_types=flex.std_string(conformer_indices.size()),
nonbonded_charges=flex.int(conformer_indices.size(), 0),
nonbonded_distance_cutoff_plus_buffer=max_bonded_cutoff,
min_cubicle_edge=5,
shell_asu_tables=[pair_asu_table])
return nonbonded_proxies, sites_cart, pair_asu_table, asu_mappings, i_seqs
def output_map(f_obs, r_free_flags, xray_structure, mask_data, filename,
params, log):
f_calc = f_obs.structure_factors_from_scatterers(
xray_structure=xray_structure).f_calc()
mask = f_obs.structure_factors_from_map(map=mask_data,
use_scale=True,
anomalous_flag=False,
use_sg=False)
# is it really use_sg = false?
fmodel = mmtbx.f_model.manager(f_obs=f_obs,
r_free_flags=r_free_flags,
f_calc=f_calc,
f_mask=mask)
fmodel.update_all_scales()
print >> log, "r_work=%6.4f r_free=%6.4f" % (fmodel.r_work(),
fmodel.r_free())
print >> log, "*" * 79
mc_diff = map_tools.electron_density_map(fmodel=fmodel).map_coefficients(
map_type="mFo-DFc", isotropize=True, fill_missing=False)
if (params.mask_output and filename != 'bias_omit'):
ccp4_map.write_ccp4_map(file_name="mask_" + filename + ".ccp4",
unit_cell=f_obs.unit_cell(),
space_group=f_obs.space_group(),
map_data=mask_data,
labels=flex.std_string([""]))
return mc_diff
def write_map_file(map_data, cs, file_name): # FOR DEBUGGING XXX
from iotbx import mrcfile
mrcfile.write_ccp4_map(file_name=file_name,
unit_cell=cs.unit_cell(),
space_group=cs.space_group(),
map_data=map_data,
labels=flex.std_string([""]))
def exercise_00(debug=True):
mon_lib_srv = monomer_library.server.server()
ener_lib = monomer_library.server.ener_lib()
for i, l in enumerate(loop):
if(debug): print "-"*70, i
ppf = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = ener_lib,
raw_records = flex.std_string(l[0].splitlines()),
force_symmetry = True)
geometry = ppf.geometry_restraints_manager(
show_energies = False,
plain_pairs_radius = 5.0)
restraints_manager = mmtbx.restraints.manager(
geometry = geometry, normalization = False)
ph = ppf.all_chain_proxies.pdb_hierarchy
sel = hydrogens.rotatable(pdb_hierarchy=ph, mon_lib_srv=mon_lib_srv,
restraints_manager = restraints_manager, log=None)
if(debug):
print
print sel
print l[2]
print l[0]
print "\n".join([a.format_atom_record() for a in ph.atoms()])
ppf.all_chain_proxies.pdb_inp.write_pdb_file(file_name = "m%s.pdb"%str(i))
if(debug): print "-"*80
assert sel == l[2], "%s != %s" % (sel, l[2])
assert hydrogens.count_rotatable(sel) == l[1]
def output_map(f_obs, r_free_flags, xray_structure, mask_data, filename, params,
log):
f_calc = f_obs.structure_factors_from_scatterers(
xray_structure = xray_structure).f_calc()
mask = f_obs.structure_factors_from_map(
map = mask_data,
use_scale = True,
anomalous_flag = False,
use_sg = False)
# is it really use_sg = false?
fmodel = mmtbx.f_model.manager(
f_obs = f_obs,
r_free_flags = r_free_flags,
f_calc = f_calc,
f_mask = mask)
fmodel.update_all_scales()
print >> log, "r_work=%6.4f r_free=%6.4f" % (fmodel.r_work(), fmodel.r_free())
print >> log, "*"*79
mc_diff = map_tools.electron_density_map(
fmodel = fmodel).map_coefficients(
map_type = "mFo-DFc",
isotropize = True,
fill_missing = False)
if (params.mask_output and filename != 'bias_omit'):
ccp4_map.write_ccp4_map(
file_name = "mask_"+filename+".ccp4",
unit_cell = f_obs.unit_cell(),
space_group = f_obs.space_group(),
map_data = mask_data,
labels = flex.std_string([""]))
return mc_diff
def exercise_1():
pdb_inp = iotbx.pdb.input(lines=flex.std_string(pdb_str_1.splitlines()),
source_info=None)
model = mmtbx.model.manager(model_input=pdb_inp)
model.process(make_restraints=True)
grm = model.get_restraints_manager().geometry
pdb_hierarchy = model.get_hierarchy()
sites_cart = model.get_sites_cart()
# c-beta restraints are added by default!!!
assert len(grm.get_c_beta_torsion_proxies()) == 4
#test global selection and removing c-beta restraints
tst_boolsel = pdb_hierarchy.atom_selection_cache().selection("resname TYR")
tst_iselection = tst_boolsel.iselection()
#test global selection
grm2 = grm.select(iselection=tst_iselection)
assert len(grm2.get_c_beta_torsion_proxies()) == 2
grm2 = grm.select(selection=tst_boolsel)
assert len(grm2.get_c_beta_torsion_proxies()) == 2
#remove a selection
grm.remove_c_beta_torsion_restraints_in_place(selection=tst_iselection)
assert len(grm.get_c_beta_torsion_proxies()) == 2
#add a selection
grm.remove_c_beta_torsion_restraints_in_place()
assert len(grm.get_c_beta_torsion_proxies()) == 0
c_beta_torsion_proxies = c_beta.get_c_beta_torsion_proxies(
pdb_hierarchy, selection=tst_iselection, sigma=2.5)
assert len(c_beta_torsion_proxies) == 2
def write_files(self, results, f_obs):
if (self.params.mask_output):
masks = [
results.mask_data_all, results.mask_data_omit,
results.mask_data_polder
]
filenames = ["all", "omit", "polder"]
for mask_data, filename in zip(masks, filenames):
mrcfile.write_ccp4_map(file_name="mask_" + filename + ".ccp4",
unit_cell=f_obs.unit_cell(),
space_group=f_obs.space_group(),
map_data=mask_data,
labels=flex.std_string([""]))
mtz_dataset = results.mc_polder.as_mtz_dataset(
column_root_label="mFo-DFc_polder")
mtz_dataset.add_miller_array(miller_array=results.mc_omit,
column_root_label="mFo-DFc_omit")
if (self.params.debug):
mtz_dataset.add_miller_array(miller_array=results.mc_biased,
column_root_label="mFo-DFc_bias_omit")
mtz_object = mtz_dataset.mtz_object()
polder_file_name = "polder_map_coeffs.mtz"
if (self.params.output_file_name_prefix is not None):
polder_file_name = self.params.output_file_name_prefix + "_" + polder_file_name
mtz_object.write(file_name=polder_file_name)
print('File %s was written.' % polder_file_name, file=self.logger)
def write_map_file(crystal_symmetry, map_data, file_name):
from iotbx import mrcfile
mrcfile.write_ccp4_map(file_name=file_name,
unit_cell=crystal_symmetry.unit_cell(),
space_group=crystal_symmetry.space_group(),
map_data=map_data,
labels=flex.std_string([""]))
def exercise_xray_structure(use_u_aniso, verbose=0):
structure = random_structure.xray_structure(
space_group_info=sgtbx.space_group_info("P 31"),
elements=["N","C","C","O","Si"]*2,
volume_per_atom=500,
min_distance=2.,
general_positions_only=False,
random_u_iso=True,
use_u_aniso=use_u_aniso)
f_abs = abs(structure.structure_factors(
anomalous_flag=False, d_min=2, algorithm="direct").f_calc())
for resname in (None, "res"):
for fractional_coordinates in (False, True):
pdb_file = structure.as_pdb_file(
remark="Title", remarks=["Any", "Thing"],
fractional_coordinates=fractional_coordinates,
resname=resname)
if (0 or verbose):
sys.stdout.write(pdb_file)
structure_read = iotbx.pdb.input(
source_info=None,
lines=flex.std_string(pdb_file.splitlines())).xray_structure_simple(
fractional_coordinates=fractional_coordinates,
use_scale_matrix_if_available=False)
f_read = abs(f_abs.structure_factors_from_scatterers(
xray_structure=structure_read, algorithm="direct").f_calc())
regression = flex.linear_regression(f_abs.data(), f_read.data())
assert regression.is_well_defined()
if (0 or verbose):
regression.show_summary()
assert approx_equal(regression.slope(), 1, eps=1.e-2)
assert approx_equal(
regression.y_intercept(), 0, eps=flex.max(f_abs.data())*0.01)
def exercise_multiple_atoms(mon_lib_srv, ener_lib):
geometry, xrs = make_initial_grm(mon_lib_srv, ener_lib, raw_records1)
# output for debugging!!!
# show_sorted_geometry(geometry, xrs, 'before_exersice_multiple_atoms.geo')
xrs_add = iotbx.pdb.input(source_info=None, lines=raw_records3) \
.xray_structure_simple()
proxy1 = geometry_restraints.bond_simple_proxy(i_seqs=(3, 9),
distance_ideal=2.0,
weight=3000)
proxy2 = geometry_restraints.bond_simple_proxy(i_seqs=(4, 10),
distance_ideal=2.0,
weight=3000)
new_xrs = xrs.concatenate(xrs_add)
all_sites_cart = new_xrs.sites_cart()
number_of_new_atoms = len(xrs_add.sites_cart())
new_geometry = geometry.new_included_bonded_atoms(
proxies=[proxy1, proxy2],
sites_cart=all_sites_cart,
site_symmetry_table=xrs_add.site_symmetry_table(),
nonbonded_types=flex.std_string(["OH2"] * number_of_new_atoms),
nonbonded_charges=flex.int(number_of_new_atoms, 0),
skip_max_proxy_distance_calculation=True)
# output for debugging!!!
# show_sorted_geometry(new_geometry, new_xrs,
# 'after_exersice_multiple_atoms.geo')
assert new_geometry.pair_proxies().bond_proxies.simple.size() == 8
assert new_geometry.pair_proxies().bond_proxies.asu.size() == 2
assert new_geometry.pair_proxies().nonbonded_proxies.simple.size() == 11
assert new_geometry.pair_proxies().nonbonded_proxies.asu.size() == 4
def run(args):
map_fname = args[0]
af = any_file(map_fname)
assert af.file_type == "ccp4_map"
ccp4_map = af.file_content
print("origin:", ccp4_map.origin)
# see how access this info in cctbx_project/iotbx/ccp4_map/__init__.py: def show_summary
print("summary:", ccp4_map.show_summary())
xc = yc = zc = 1 # real coordinates
# fractional coordinates
xf, yf, zf = ccp4_map.unit_cell().fractionalize([xc, yc, zc])
print("map value:",
ccp4_map.map_data().eight_point_interpolation([xf, yf, zf]))
shifted_map_data = shift_origin_if_needed(ccp4_map.map_data()).map_data
print("map value on shifted map:",
shifted_map_data.eight_point_interpolation([xf, yf, zf]))
print("shifted origin:", shifted_map_data.origin())
# This does not work for non 0-based (non-shifted) map
print("map value at closes grid point:",
shifted_map_data.value_at_closest_grid_point([xf, yf, zf]))
cs = ccp4_map.crystal_symmetry()
# writing shifted map
iotbx.mrcfile.write_ccp4_map(file_name="shifted_map.map",
unit_cell=cs.unit_cell(),
space_group=cs.space_group(),
map_data=shifted_map_data,
labels=flex.std_string([""]))
def exercise_multiple_atoms(mon_lib_srv, ener_lib):
geometry, xrs = make_initial_grm(mon_lib_srv, ener_lib, raw_records1)
# output for debugging!!!
# show_sorted_geometry(geometry, xrs, 'before_exersice_multiple_atoms.geo')
xrs_add = iotbx.pdb.input(source_info=None, lines=raw_records3) \
.xray_structure_simple()
proxy1 = geometry_restraints.bond_simple_proxy(
i_seqs=(3,9),
distance_ideal=2.0,
weight=3000)
proxy2 = geometry_restraints.bond_simple_proxy(
i_seqs=(4,10),
distance_ideal=2.0,
weight=3000)
new_xrs = xrs.concatenate(xrs_add)
all_sites_cart = new_xrs.sites_cart()
number_of_new_atoms = len(xrs_add.sites_cart())
new_geometry = geometry.new_included_bonded_atoms(
proxies=[proxy1, proxy2],
sites_cart=all_sites_cart,
site_symmetry_table=xrs_add.site_symmetry_table(),
nonbonded_types=flex.std_string(["OH2"]*number_of_new_atoms),
nonbonded_charges=flex.int(number_of_new_atoms, 0),
skip_max_proxy_distance_calculation=True)
# output for debugging!!!
# show_sorted_geometry(new_geometry, new_xrs,
# 'after_exersice_multiple_atoms.geo')
assert new_geometry.pair_proxies().bond_proxies.simple.size() == 8
assert new_geometry.pair_proxies().bond_proxies.asu.size() == 2
assert new_geometry.pair_proxies().nonbonded_proxies.simple.size() == 11
assert new_geometry.pair_proxies().nonbonded_proxies.asu.size() == 4
def exercise(pdb_poor_str, d_min = 1.0, resolution_factor = 0.25):
# Fit one residue in many-residues model
#
# answer
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
f_calc = xrs_answer.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer.mtz")
# take TYR9
sites_answer = list(
pdb_inp.construct_hierarchy().residue_groups())[1].atoms().extract_xyz()
# poor
mon_lib_srv = monomer_library.server.server()
master_params = iotbx.phil.parse(
input_string=mmtbx.monomer_library.pdb_interpretation.master_params_str,
process_includes=True).extract()
master_params.link_distance_cutoff=999
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
params = master_params,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor_str.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor.pdb")
#
rotamer_manager = RotamerEval()
get_class = iotbx.pdb.common_residue_names_get_class
for model in pdb_hierarchy_poor.models():
for chain in model.chains():
for residue in chain.only_conformer().residues():
if(get_class(residue.resname) == "common_amino_acid" and
int(residue.resseq)==9): # take TYR9
t0 = time.time()
ro = mmtbx.refinement.real_space.fit_residue.run_with_minimization(
target_map = target_map,
residue = residue,
xray_structure = xrs_poor,
mon_lib_srv = mon_lib_srv,
rotamer_manager = rotamer_manager,
real_space_gradients_delta = d_min*resolution_factor,
geometry_restraints_manager = processed_pdb_file.geometry_restraints_manager(show_energies=False))
sites_final = residue.atoms().extract_xyz()
t1 = time.time()-t0
pdb_hierarchy_poor.adopt_xray_structure(ro.xray_structure)
pdb_hierarchy_poor.write_pdb_file(file_name = "refined.pdb")
dist = flex.mean(flex.sqrt((sites_answer - sites_final).dot()))
# Highly unstable test
assert dist < 0.9
def exercise(pdb_poor_str, rotamer_manager, sin_cos_table, i_pdb, d_min = 1.0,
resolution_factor = 0.1):
# Fit one residue. There is a huge heavy atom nearby that overlaps with a
# plausible rotamer.
# Show importance of map truncaiton.
#
# answer
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer_%s.pdb"%str(i_pdb))
xrs_answer = pdb_inp.xray_structure_simple()
f_calc = xrs_answer.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer_%s.mtz"%str(i_pdb))
pdb_hierarchy_answer = pdb_inp.construct_hierarchy()
matching_selection = pdb_hierarchy_answer.atom_selection_cache().selection(
string = "not element U")
# Truncate the map
target_map = target_map.set_selected(target_map > 2, 2)
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor_str.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor_%s.pdb"%str(i_pdb))
#
get_class = iotbx.pdb.common_residue_names_get_class
residue_poor = None
for model in pdb_hierarchy_poor.models():
for chain in model.chains():
for residue in chain.only_conformer().residues():
if(get_class(residue.resname) == "common_amino_acid"):
t0=time.time() # TIMER START
# refine
mmtbx.refinement.real_space.fit_residue.run(
residue = residue,
unit_cell = xrs_poor.unit_cell(),
target_map = target_map,
mon_lib_srv = mon_lib_srv,
rotamer_manager = rotamer_manager,
sin_cos_table = sin_cos_table)
sites_cart_poor.set_selected(residue.atoms().extract_i_seq(),
residue.atoms().extract_xyz())
print "time (refine): %6.4f" % (time.time()-t0)
xrs_poor = xrs_poor.replace_sites_cart(sites_cart_poor)
pdb_hierarchy_poor.adopt_xray_structure(xrs_poor)
pdb_hierarchy_poor.write_pdb_file(file_name = "refined_%s.pdb"%str(i_pdb))
dist = xrs_answer.select(matching_selection).max_distance(other = xrs_poor)
assert dist < 0.25, dist
def expand_nonbonded_types(
nonbonded_types,
x_n_seq,
related_x_i_seqs):
result = flex.std_string(x_n_seq)
for i_seq,s in enumerate(nonbonded_types):
result.set_selected(related_x_i_seqs[i_seq], s)
return result
def exercise(i_pdb, pdb_for_map, rotamer_manager, sin_cos_table,
d_min = 1.5, resolution_factor = 0.1):
# Best fitting residue is a rotamer outlier (PHE 407), two scenarious:
# - outlier fits density perfectly
# - outlier fits not so good.
# No better options to fit other than keep the outlier unchanged.
#
# answer PDB
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
# answer map
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_for_map)
pdb_inp.write_pdb_file(file_name = "for_map.pdb")
xrs_map = pdb_inp.xray_structure_simple()
f_calc = xrs_map.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer_%s.mtz"%str(i_pdb))
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor.pdb")
#
target_map_object = group_args(
data = target_map,
f_map_diff = None,
miller_array = f_calc,
crystal_gridding = fft_map)
grm = mmtbx.restraints.manager(
geometry=processed_pdb_file.geometry_restraints_manager(show_energies=False),
normalization = True)
sm = mmtbx.refinement.real_space.structure_monitor(
pdb_hierarchy = pdb_hierarchy_poor,
xray_structure = xrs_poor,
target_map_object = target_map_object,
geometry_restraints_manager = grm.geometry)
result = mmtbx.refinement.real_space.fit_residues.manager(
structure_monitor = sm,
rotamer_manager = rotamer_manager,
sin_cos_table = sin_cos_table,
mon_lib_srv = mon_lib_srv)
#
sm.pdb_hierarchy.write_pdb_file(file_name = "refined_%s.pdb"%str(i_pdb))
dist = xrs_answer.mean_distance(other = sm.xray_structure)
assert dist < 0.3, dist
def get_loop_with_defaults(self, loop_name, default_dict):
loop_ = self.get_loop(loop_name)
if loop_ is None:
loop_ = loop(header=default_dict.keys())
n_rows = loop_.n_rows()
for key, value in default_dict.iteritems():
if key not in loop_:
loop_.add_column(key, flex.std_string(n_rows, value))
return loop_
def get_loop_with_defaults(self, loop_name, default_dict):
loop_ = self.get_loop(loop_name)
if loop_ is None:
loop_ = loop(header=default_dict.keys())
n_rows = loop_.n_rows()
for key, value in default_dict.iteritems():
if key not in loop_:
loop_.add_column(key, flex.std_string(n_rows, value))
return loop_
def exercise(rotamer_manager, sin_cos_table, d_min = 1.0,
resolution_factor = 0.1):
# Fit one residue having weak side chain density. There is a blob nearby that
# overlaps with a plausible rotamer.
# Making B of HOH smaller will break the test, indicaing potential problem.
#
# answer PDB
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
# answer map
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_poor_for_map)
xrs_map = pdb_inp.xray_structure_simple()
f_calc = xrs_map.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer.mtz")
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor.pdb")
#
get_class = iotbx.pdb.common_residue_names_get_class
residue_poor = None
for model in pdb_hierarchy_poor.models():
for chain in model.chains():
for residue in chain.only_conformer().residues():
if(get_class(residue.resname) == "common_amino_acid"):
t0=time.time() # TIMER START
# refine
mmtbx.refinement.real_space.fit_residue.run(
residue = residue,
unit_cell = xrs_poor.unit_cell(),
target_map = target_map,
mon_lib_srv = mon_lib_srv,
rotamer_manager = rotamer_manager,
sin_cos_table = sin_cos_table)
sites_cart_poor.set_selected(residue.atoms().extract_i_seq(),
residue.atoms().extract_xyz())
print "time (refine): %6.4f" % (time.time()-t0)
xrs_poor = xrs_poor.replace_sites_cart(sites_cart_poor)
pdb_hierarchy_poor.adopt_xray_structure(xrs_poor)
pdb_hierarchy_poor.write_pdb_file(file_name = "refined.pdb")
dist = xrs_answer.max_distance(other = xrs_poor)
assert dist < 0.24, dist
def show(self, out=None, indent=" ", indent_row=None, fmt_str=None, align_columns=True):
assert self.n_rows() > 0 and self.n_columns() > 0
if out is None:
out = sys.stdout
if indent_row is None:
indent_row = indent
assert indent.strip() == ""
assert indent_row.strip() == ""
print >> out, "loop_"
for k in self.keys():
print >> out, indent + k
values = self._columns.values()
if fmt_str is not None:
# Pretty printing:
# The user is responsible for providing a valid format string.
# Values are not quoted - it is the user's responsibility to place
# appropriate quotes in the format string if a particular value may
# contain spaces.
values = copy.deepcopy(values)
for i, v in enumerate(values):
for flex_numeric_type in (flex.int, flex.double):
if not isinstance(v, flex_numeric_type):
try:
values[i] = flex_numeric_type(v)
except ValueError:
continue
else:
break
if fmt_str is None:
fmt_str = indent_row + ' '.join(["%s"]*len(values))
for i in range(self.size()):
print >> out, fmt_str % tuple([values[j][i] for j in range(len(values))])
elif align_columns:
fmt_str = []
for i, (k, v) in enumerate(self.iteritems()):
for i_v in range(v.size()):
v[i_v] = format_value(v[i_v])
# exclude and semicolon text fields from column width calculation
v_ = flex.std_string(item for item in v if "\n" not in item)
width = v_.max_element_length()
# See if column contains only number, '.' or '?'
# right-align numerical columns, left-align everything else
v = v.select(~( (v == ".") | (v == "?") ))
try:
flex.double(v)
except ValueError:
width *= -1
fmt_str.append("%%%is" %width)
fmt_str = indent_row + " ".join(fmt_str)
for i in range(self.size()):
print >> out, (fmt_str %
tuple([values[j][i]
for j in range(len(values))])).rstrip()
else:
for i in range(self.size()):
values_to_print = [format_value(values[j][i]) for j in range(len(values))]
print >> out, ' '.join([indent] + values_to_print)
def exercise_planarity():
p = geometry_restraints.motif_planarity()
assert p.atom_names.size() == 0
assert p.weights.size() == 0
assert p.id == ""
p = geometry_restraints.motif_planarity(
atom_names=flex.std_string(["a", "b"]),
weights=flex.double([1.5, 2.5]),
id="t")
assert list(p.atom_names) == ["a", "b"]
assert list(p.weights) == [1.5, 2.5]
assert p.id == "t"
p.atom_names = flex.std_string(["x", "y", "z"])
assert list(p.atom_names) == ["x", "y", "z"]
p.weights = flex.double([3.5, 6.5])
assert list(p.weights) == [3.5, 6.5]
p.id = "u"
assert p.id == "u"
def main(filenames, map_file, npoints=192, max_resolution=6, reverse_phi=False):
rec_range = 1 / max_resolution
image = ImageFactory(filenames[0])
panel = image.get_detector()[0]
beam = image.get_beam()
s0 = beam.get_s0()
pixel_size = panel.get_pixel_size()
xlim, ylim = image.get_raw_data().all()
xy = recviewer.get_target_pixels(panel, s0, xlim, ylim, max_resolution)
s1 = panel.get_lab_coord(xy * pixel_size[0]) # FIXME: assumed square pixel
s1 = s1 / s1.norms() * (1 / beam.get_wavelength()) # / is not supported...
S = s1 - s0
grid = flex.double(flex.grid(npoints, npoints, npoints), 0)
cnts = flex.int(flex.grid(npoints, npoints, npoints), 0)
for filename in filenames:
print "Processing image", filename
try:
fill_voxels(ImageFactory(filename), grid, cnts, S, xy, reverse_phi, rec_range)
except:
print " Failed to process. Skipped this."
recviewer.normalize_voxels(grid, cnts)
uc = uctbx.unit_cell((npoints, npoints, npoints, 90, 90, 90))
ccp4_map.write_ccp4_map(map_file, uc, sgtbx.space_group("P1"),
(0, 0, 0), grid.all(), grid,
flex.std_string(["cctbx.miller.fft_map"]))
return
from scitbx import fftpack
fft = fftpack.complex_to_complex_3d(grid.all())
grid_complex = flex.complex_double(
reals=flex.pow2(grid),
imags=flex.double(grid.size(), 0))
grid_transformed = flex.abs(fft.backward(grid_complex))
print flex.max(grid_transformed), flex.min(grid_transformed), grid_transformed.all()
ccp4_map.write_ccp4_map(map_file, uc, sgtbx.space_group("P1"),
(0, 0, 0), grid.all(), grid_transformed,
flex.std_string(["cctbx.miller.fft_map"]))
def exercise(rotamer_manager, sin_cos_table,
d_min = 1.0, resolution_factor = 0.1):
# Run into a water clash if needed: water is considered as just a map peak.
#
# answer PDB
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
# answer map
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_for_map)
pdb_inp.write_pdb_file(file_name = "for_map.pdb")
xrs_map = pdb_inp.xray_structure_simple()
f_calc = xrs_map.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer.mtz")
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor.pdb")
#
grm = mmtbx.restraints.manager(
geometry=processed_pdb_file.geometry_restraints_manager(show_energies=False),
normalization = True)
for i in [1,2]:
print "-"*10
result = mmtbx.refinement.real_space.fit_residues.run(
pdb_hierarchy = pdb_hierarchy_poor,
crystal_symmetry = xrs_poor.crystal_symmetry(),
map_data = target_map,
do_all = True,
massage_map = False,
rotamer_manager = rotamer_manager,
sin_cos_table = sin_cos_table,
mon_lib_srv = mon_lib_srv)
pdb_hierarchy_poor = result.pdb_hierarchy
#
result.pdb_hierarchy.write_pdb_file(file_name = "refined.pdb",
crystal_symmetry=xrs_poor.crystal_symmetry())
dist = flex.max(flex.sqrt((xrs_answer.sites_cart() -
result.pdb_hierarchy.atoms().extract_xyz()).dot()))
assert dist < 0.75, dist # to make it work on marbles
def exercise(d_min = 1.0, resolution_factor=0.2):
# Fit HOH or DOD into density map
#
# answer model and map
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
xrs_answer.switch_to_neutron_scattering_dictionary()
f_calc_answer = xrs_answer.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc_answer.fft_map(resolution_factor=resolution_factor)
fft_map.apply_volume_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc_answer.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer.mtz")
# poor model (DOD randomly shifted)
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
xrs_poor.switch_to_neutron_scattering_dictionary()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor.pdb")
# real-space refine DOD to fit target_map best
mmtbx.refinement.real_space.fit_water.run(
pdb_hierarchy = pdb_hierarchy_poor,
target_map = target_map,
unit_cell = xrs_poor.unit_cell(),
real_space_gradients_delta = d_min*resolution_factor,
log = sys.stdout)
# best refined model
pdb_hierarchy_poor.write_pdb_file(file_name = "refined.pdb")
xrs_refined = pdb_hierarchy_poor.extract_xray_structure(
crystal_symmetry = xrs_poor.crystal_symmetry())
xrs_refined.switch_to_neutron_scattering_dictionary()
# check results
def r_factor(x,y):
x = abs(x).data()
y = abs(y).data()
n = flex.sum(flex.abs(x-y))
d = flex.sum(flex.abs(x+y))/2
return n/d
fc_poor = f_calc_answer.structure_factors_from_scatterers(
xray_structure = xrs_poor).f_calc()
fc_refined = f_calc_answer.structure_factors_from_scatterers(
xray_structure = xrs_refined).f_calc()
assert r_factor(f_calc_answer, fc_poor) > 0.45
assert r_factor(f_calc_answer, fc_refined) < 0.08
def exercise(rotamer_manager, sin_cos_table, d_min=1.5, resolution_factor=0.1):
# Partial (incomplete) residues. Just run to make sure it does not crash.
# It will not fix incomplete residues.
#
# answer PDB
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
# answer map
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_for_map)
pdb_inp.write_pdb_file(file_name = "for_map.pdb")
xrs_map = pdb_inp.xray_structure_simple()
f_calc = xrs_map.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer.mtz")
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor.pdb")
#
target_map_object = group_args(
data = target_map,
f_map_diff = None,
miller_array = f_calc,
crystal_gridding = fft_map)
grm = mmtbx.restraints.manager(
geometry=processed_pdb_file.geometry_restraints_manager(show_energies=False),
normalization = True)
sm = mmtbx.refinement.real_space.structure_monitor(
pdb_hierarchy = pdb_hierarchy_poor,
xray_structure = xrs_poor,
target_map_object = target_map_object,
geometry_restraints_manager = grm.geometry)
result = mmtbx.refinement.real_space.fit_residues.manager(
structure_monitor = sm,
rotamer_manager = rotamer_manager,
sin_cos_table = sin_cos_table,
mon_lib_srv = mon_lib_srv)
#
sm.pdb_hierarchy.write_pdb_file(file_name = "refined.pdb")
def __init__(self,
pdb_hierarchy,
crystal_symmetry,
rotamer_manager,
sin_cos_table,
mon_lib_srv,
bselection=None,
map_data=None,
vdw_radii=None,
do_all=False,
backbone_sample=True,
diff_map_data=None,
massage_map=True,
tune_up_only=False,
log=None):
adopt_init_args(self, locals())
self.number_of_outliers = None
if (self.log is None): self.log = sys.stdout
self.sites_cart = self.pdb_hierarchy.atoms().extract_xyz()
self.atom_names = flex.std_string(
[i.strip() for i in self.pdb_hierarchy.atoms().extract_name()])
self.special_position_settings = None
self.special_position_indices = None
if (self.crystal_symmetry is not None):
self.special_position_settings = crystal.special_position_settings(
crystal_symmetry=self.crystal_symmetry)
self.special_position_indices = self.get_special_position_indices()
# Even better would be to pass it here. Ideally just use model
self.atom_selection_cache = self.pdb_hierarchy.atom_selection_cache()
self.selection_water_as_set = set(self.atom_selection_cache.\
selection(string = "water").iselection())
if (self.massage_map and self.map_data is not None):
self.target_map = self.prepare_target_map()
else:
self.target_map = map_data
print >> self.log, \
"outliers start: %d"%self.count_outliers()
#
if (not self.tune_up_only):
self.loop(function=self.one_residue_iteration)
assert approx_equal(self.sites_cart,
self.pdb_hierarchy.atoms().extract_xyz())
print >> self.log, \
"outliers after map fit: %d"%self.count_outliers()
print >> self.log, "tune up"
assert approx_equal(self.sites_cart,
self.pdb_hierarchy.atoms().extract_xyz())
self.loop(function=self.one_residue_tune_up)
print >> self.log, \
"outliers final: %d"%self.count_outliers()
assert approx_equal(self.sites_cart,
self.pdb_hierarchy.atoms().extract_xyz())
def exercise(rotamer_manager, sin_cos_table, d_min = 1.0,
resolution_factor = 0.1):
# Make sure it DOES NOT kicks into existing residue (chain Z).
#
# answer PDB
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_for_map)
pdb_inp.write_pdb_file(file_name = "for_map.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
# answer map
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
xrs_map = pdb_inp.xray_structure_simple()
f_calc = xrs_map.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer.mtz")
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor.pdb")
#
result = mmtbx.refinement.real_space.fit_residues.run(
pdb_hierarchy = pdb_hierarchy_poor,
crystal_symmetry = xrs_poor.crystal_symmetry(),
map_data = target_map,
do_all = True,
rotamer_manager = rotamer_manager,
sin_cos_table = sin_cos_table,
mon_lib_srv = mon_lib_srv)
result.pdb_hierarchy.write_pdb_file(file_name = "refined.pdb")
###
sel = result.pdb_hierarchy.atom_selection_cache().selection("not chain Z")
result_hierarchy = result.pdb_hierarchy.select(sel)
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
dist = flex.max(flex.sqrt((xrs_answer.sites_cart() -
result_hierarchy.atoms().extract_xyz()).dot()))
print dist
assert dist > 3.95, dist
def exercise(rotamer_manager, sin_cos_table, d_min=1.0, resolution_factor=0.1):
# Make sure it kicks off existing water. Simple case: no alternatives.
#
# answer PDB
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_for_map)
pdb_inp.write_pdb_file(file_name="for_map.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
# answer map
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
xrs_map = pdb_inp.xray_structure_simple()
f_calc = xrs_map.structure_factors(d_min=d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label="FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name="answer.mtz")
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv=mon_lib_srv,
ener_lib=monomer_library.server.ener_lib(),
raw_records=flex.std_string(pdb_poor.splitlines()),
strict_conflict_handling=True,
force_symmetry=True,
log=None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name="poor.pdb")
#
result = mmtbx.refinement.real_space.fit_residues.run(
pdb_hierarchy=pdb_hierarchy_poor,
crystal_symmetry=xrs_poor.crystal_symmetry(),
map_data=target_map,
do_all=True,
rotamer_manager=rotamer_manager,
sin_cos_table=sin_cos_table,
mon_lib_srv=mon_lib_srv)
result.pdb_hierarchy.write_pdb_file(file_name="refined.pdb")
###
sel = result.pdb_hierarchy.atom_selection_cache().selection("not water")
result_hierarchy = result.pdb_hierarchy.select(sel)
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name="answer.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
dist = flex.max(
flex.sqrt((xrs_answer.sites_cart() -
result_hierarchy.atoms().extract_xyz()).dot()))
print dist
assert dist < 0.4, dist
def __init__(self, cif_block, strict=False):
# The order of priority for determining space group is:
# sym_ops, hall symbol, H-M symbol, space group number
self.cif_block = cif_block
sym_ops = self.get_cif_item('_space_group_symop_operation_xyz')
sym_op_ids = self.get_cif_item('_space_group_symop_id')
space_group = None
if sym_ops is not None:
if isinstance(sym_ops, basestring):
sym_ops = flex.std_string([sym_ops])
if sym_op_ids is not None:
if isinstance(sym_op_ids, basestring):
sym_op_ids = flex.std_string([sym_op_ids])
assert len(sym_op_ids) == len(sym_ops)
self.sym_ops = {}
space_group = sgtbx.space_group()
if isinstance(sym_ops, basestring): sym_ops = [sym_ops]
for i, op in enumerate(sym_ops):
try:
s = sgtbx.rt_mx(op)
except RuntimeError, e:
str_e = str(e)
if "Parse error: " in str_e:
raise CifBuilderError(
"Error interpreting symmetry operator: %s" %
(str_e.split("Parse error: ")[-1]))
else:
raise
if sym_op_ids is None:
sym_op_id = i + 1
else:
try:
sym_op_id = int(sym_op_ids[i])
except ValueError, e:
raise CifBuilderError(
"Error interpreting symmetry operator id: %s" %
(str(e)))
self.sym_ops[sym_op_id] = s
space_group.expand_smx(s)
def ccp4_map(cg, file_name, mc=None, map_data=None):
assert [mc, map_data].count(None)==1
if(map_data is None):
map_data = get_map(mc=mc, cg=cg)
from iotbx import ccp4_map
ccp4_map.write_ccp4_map(
file_name=file_name,
unit_cell=cg.unit_cell(),
space_group=cg.space_group(),
#gridding_first=(0,0,0),# This causes a bug (map gets shifted)
#gridding_last=n_real, # This causes a bug (map gets shifted)
map_data=map_data,
labels=flex.std_string([""]))
def ccp4_map(cg, file_name, mc=None, map_data=None):
assert [mc, map_data].count(None) == 1
if (map_data is None):
map_data = get_map(mc=mc, cg=cg)
from iotbx import mrcfile
mrcfile.write_ccp4_map(
file_name=file_name,
unit_cell=cg.unit_cell(),
space_group=cg.space_group(),
#gridding_first=(0,0,0),# This causes a bug (map gets shifted)
#gridding_last=n_real, # This causes a bug (map gets shifted)
map_data=map_data,
labels=flex.std_string([""]))
def debug_write_ccp4_map(self, map_data, file_name):
from iotbx import ccp4_map
gridding_first = (0,0,0)
gridding_last = map_data.all()
labels = ["cctbx.miller.fft_map"]
ccp4_map.write_ccp4_map(
file_name=file_name,
unit_cell=self.fft_cell,
space_group=sgtbx.space_group("P1"),
gridding_first=gridding_first,
gridding_last=gridding_last,
map_data=map_data,
labels=flex.std_string(labels))
def run(args, command_name="phenix.tls"):
if (len(args) == 0): args = ["--help"]
usage_fmt = "%s pdb_file [parameters: file or command line string]"
des_fmt = "Example: %s model.pdb fit_tls_to.selection='%s' fit_tls_to.selection='%s'"
command_line = (iotbx_option_parser(
usage=usage_fmt % command_name, description=banner).option(
"--show_defaults",
action="store_true",
help="Do not output to the screen (except errors).").option(
"--silent",
action="store_true",
help="Suppress output to the screen.")).process(args=args)
#
log = sys.stdout
if (not command_line.options.silent):
utils.print_header("TLS tools", out=log)
if (command_line.options.show_defaults):
master_params.show(out=log)
print >> log
return
if (not command_line.options.silent):
print >> log, banner
#
processed_args = utils.process_command_line_args(
args=command_line.args, master_params=master_params, log=log)
reflection_files = processed_args.reflection_files
if (processed_args.crystal_symmetry is None):
raise Sorry("No crystal symmetry found.")
if (len(processed_args.pdb_file_names) == 0):
raise Sorry("No PDB file found.")
params = processed_args.params
if (not command_line.options.silent):
utils.print_header("Input parameters", out=log)
params.show(out=log)
params = params.extract()
#
if (processed_args.crystal_symmetry.unit_cell() is None
or processed_args.crystal_symmetry.space_group() is None):
raise Sorry("No CRYST1 record found.")
pdb_combined = iotbx.pdb.combine_unique_pdb_files(
file_names=processed_args.pdb_file_names)
pdb_combined.report_non_unique(out=log)
if (len(pdb_combined.unique_file_names) == 0):
raise Sorry("No coordinate file given.")
raw_records = pdb_combined.raw_records
try:
pdb_inp = iotbx.pdb.input(source_info=None,
lines=flex.std_string(raw_records))
except ValueError, e:
raise Sorry("Model format (PDB or mmCIF) error:\n%s" % str(e))
def exercise(pdb_poor_str,
rotamer_manager,
sin_cos_table,
i_pdb,
d_min=1.0,
resolution_factor=0.1):
# Fit one residue. There is a huge heavy atom nearby that overlaps with a
# plausible rotamer.
#
# answer
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name="answer_%s.pdb" % str(i_pdb))
xrs_answer = pdb_inp.xray_structure_simple()
f_calc = xrs_answer.structure_factors(d_min=d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label="FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name="answer_%s.mtz" % str(i_pdb))
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv=mon_lib_srv,
ener_lib=monomer_library.server.ener_lib(),
raw_records=flex.std_string(pdb_poor_str.splitlines()),
strict_conflict_handling=True,
force_symmetry=True,
log=None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name="poor_%s.pdb" % str(i_pdb))
#
result = mmtbx.refinement.real_space.fit_residues.run(
pdb_hierarchy=pdb_hierarchy_poor,
crystal_symmetry=xrs_poor.crystal_symmetry(),
map_data=target_map,
do_all=True,
massage_map=True,
rotamer_manager=rotamer_manager,
sin_cos_table=sin_cos_table,
mon_lib_srv=mon_lib_srv)
result.pdb_hierarchy.write_pdb_file(file_name="refined_%s.pdb" %
str(i_pdb))
dist = flex.max(
flex.sqrt((xrs_answer.sites_cart() -
result.pdb_hierarchy.atoms().extract_xyz()).dot()))
print dist
if (i_pdb == 2): assert dist < 1.e-6, dist
else: assert dist < 0.61, dist
def exercise_01():
pdb_inp = iotbx.pdb.input(source_info=None, lines=m5_str)
ph = pdb_inp.construct_hierarchy()
xrs_answer = pdb_inp.xray_structure_simple()
xrs_answer.switch_to_neutron_scattering_dictionary()
ph.write_pdb_file(file_name="answer.pdb")
f_calc = xrs_answer.structure_factors(d_min=1).f_calc()
fft_map = f_calc.fft_map(resolution_factor=0.1)
fft_map.apply_sigma_scaling()
map_data = fft_map.real_map_unpadded()
#
mon_lib_srv = monomer_library.server.server()
ener_lib = monomer_library.server.ener_lib()
ppf = monomer_library.pdb_interpretation.process(
mon_lib_srv=mon_lib_srv,
ener_lib=ener_lib,
raw_records=flex.std_string(m5_str_HD_rotated.splitlines()),
force_symmetry=True)
geometry = ppf.geometry_restraints_manager(show_energies=False,
plain_pairs_radius=5.0)
restraints_manager = mmtbx.restraints.manager(geometry=geometry,
normalization=False)
xrs = ppf.all_chain_proxies.pdb_inp.xray_structure_simple()
ph = ppf.all_chain_proxies.pdb_hierarchy
ph.write_pdb_file(file_name="poor.pdb")
xrs.switch_to_neutron_scattering_dictionary()
f_calc_poor = f_calc.structure_factors_from_scatterers(
xray_structure=xrs).f_calc()
#
rotatable_h_selection = hydrogens.rotatable(
pdb_hierarchy=ph,
mon_lib_srv=mon_lib_srv,
restraints_manager=restraints_manager,
log=None)
hydrogens.fit_rotatable(pdb_hierarchy=ph,
xray_structure=xrs,
map_data=map_data,
rotatable_h_selection=rotatable_h_selection)
ph.write_pdb_file(file_name="result.pdb")
#
f_calc_fixed = f_calc.structure_factors_from_scatterers(
xray_structure=xrs).f_calc()
def r_factor(x, y):
n = flex.sum(flex.abs(abs(x).data() - abs(y).data()))
d = flex.sum(flex.abs(abs(x).data() + abs(y).data())) / 2
return n / d
assert r_factor(f_calc, f_calc_poor) > 0.2
assert r_factor(f_calc, f_calc_fixed) < 0.015
def __init__(self, cif_block, strict=False):
# The order of priority for determining space group is:
# sym_ops, hall symbol, H-M symbol, space group number
self.cif_block = cif_block
sym_ops = self.get_cif_item('_space_group_symop_operation_xyz')
sym_op_ids = self.get_cif_item('_space_group_symop_id')
space_group = None
if sym_ops is not None:
if isinstance(sym_ops, basestring):
sym_ops = flex.std_string([sym_ops])
if sym_op_ids is not None:
if isinstance(sym_op_ids, basestring):
sym_op_ids = flex.std_string([sym_op_ids])
assert len(sym_op_ids) == len(sym_ops)
self.sym_ops = {}
space_group = sgtbx.space_group()
if isinstance(sym_ops, basestring): sym_ops = [sym_ops]
for i, op in enumerate(sym_ops):
try:
s = sgtbx.rt_mx(op)
except RuntimeError, e:
str_e = str(e)
if "Parse error: " in str_e:
raise CifBuilderError("Error interpreting symmetry operator: %s" %(
str_e.split("Parse error: ")[-1]))
else:
raise
if sym_op_ids is None:
sym_op_id = i+1
else:
try:
sym_op_id = int(sym_op_ids[i])
except ValueError, e:
raise CifBuilderError("Error interpreting symmetry operator id: %s" %(
str(e)))
self.sym_ops[sym_op_id] = s
space_group.expand_smx(s)
def exercise(pdb_poor_str, rotamer_manager, sin_cos_table, i_pdb, d_min = 1.0,
resolution_factor = 0.1):
# Fit one residue. There is a huge heavy atom nearby that overlaps with a
# plausible rotamer.
# Show importance of map truncaiton.
#
# answer
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer_%s.pdb"%str(i_pdb))
xrs_answer = pdb_inp.xray_structure_simple()
f_calc = xrs_answer.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer_%s.mtz"%str(i_pdb))
pdb_hierarchy_answer = pdb_inp.construct_hierarchy()
matching_selection = pdb_hierarchy_answer.atom_selection_cache().selection(
string = "not element U")
# Truncate the map
target_map = target_map.set_selected(target_map > 2, 2)
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor_str.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor_%s.pdb"%str(i_pdb))
#
result = mmtbx.refinement.real_space.fit_residues.run(
pdb_hierarchy = pdb_hierarchy_poor,
crystal_symmetry = xrs_poor.crystal_symmetry(),
map_data = target_map,
do_all = True,
massage_map = False,
rotamer_manager = rotamer_manager,
sin_cos_table = sin_cos_table,
mon_lib_srv = mon_lib_srv)
result.pdb_hierarchy.write_pdb_file(file_name = "refined_%s.pdb"%str(i_pdb))
dist = flex.max(flex.sqrt((xrs_answer.sites_cart().select(matching_selection) -
result.pdb_hierarchy.atoms().extract_xyz()).dot()))
assert dist < 0.25, dist
def exercise_miller_arrays_as_cif_block():
from iotbx.cif import reader
cif_model = reader(input_string=cif_miller_array,
builder=cif.builders.cif_model_builder()).model()
ma_builder = cif.builders.miller_array_builder(cif_model['global'])
ma1 = ma_builder.arrays()['_refln_F_squared_meas']
mas_as_cif_block = cif.miller_arrays_as_cif_block(ma1,
array_type='meas',
format="corecif")
mas_as_cif_block.add_miller_array(
ma1.array(data=flex.complex_double([1 - 1j] * ma1.size())),
array_type='calc')
mas_as_cif_block.add_miller_array(
ma1.array(data=flex.complex_double([1 - 2j] * ma1.size())),
column_names=['_refln_A_calc', '_refln_B_calc'])
for key in ('_refln_F_squared_meas', '_refln_F_squared_sigma',
'_refln_F_calc', '_refln_phase_calc', '_refln_A_calc',
'_refln_A_calc'):
assert key in mas_as_cif_block.cif_block.keys(), key
#
mas_as_cif_block = cif.miller_arrays_as_cif_block(ma1,
array_type='meas',
format="mmcif")
mas_as_cif_block.add_miller_array(
ma1.array(data=flex.complex_double([1 - 1j] * ma1.size())),
array_type='calc')
for key in ('_refln.F_squared_meas', '_refln.F_squared_sigma',
'_refln.F_calc', '_refln.phase_calc',
'_space_group_symop.operation_xyz', '_cell.length_a',
'_refln.index_h'):
assert key in mas_as_cif_block.cif_block.keys()
#
mas_as_cif_block = cif.miller_arrays_as_cif_block(
ma1,
column_names=[
'_diffrn_refln_intensity_net', '_diffrn_refln_intensity_sigma'
],
miller_index_prefix='_diffrn_refln')
mas_as_cif_block.add_miller_array(
ma1.array(data=flex.std_string(ma1.size(), 'om')),
column_name='_diffrn_refln_intensity_u')
for key in ('_diffrn_refln_intensity_net', '_diffrn_refln_intensity_sigma',
'_diffrn_refln_intensity_u'):
assert key in mas_as_cif_block.cif_block.keys()
#
try:
reader(input_string=cif_global)
except CifParserError, e:
pass
def get_pdb_inputs(pdb_str):
processed_pdb_file = pdb_interpretation.process(
mon_lib_srv=server.server(),
ener_lib=server.ener_lib(),
raw_records=flex.std_string(pdb_str.splitlines()),
strict_conflict_handling=True,
force_symmetry=True,
log=None)
xrs = processed_pdb_file.xray_structure(show_summary=False)
geometry_restraints_manager = geometry_minimization.\
get_geometry_restraints_manager(processed_pdb_file, xrs)
pdb_hierarchy = processed_pdb_file.all_chain_proxies.pdb_hierarchy
return group_args(ph=pdb_hierarchy,
grm=geometry_restraints_manager,
xrs=xrs)
def exercise(rotamer_manager, sin_cos_table, d_min = 1.0,
resolution_factor = 0.1):
# Fit one residue having weak side chain density. There is a blob nearby that
# overlaps with a plausible rotamer.
# Making B of HOH smaller will break the test, indicaing potential problem.
#
# answer PDB
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_answer)
pdb_inp.write_pdb_file(file_name = "answer.pdb")
xrs_answer = pdb_inp.xray_structure_simple()
# answer map
pdb_inp = iotbx.pdb.input(source_info=None, lines=pdb_poor_for_map)
pdb_inp.write_pdb_file(file_name="for_map.pdb")
xrs_map = pdb_inp.xray_structure_simple()
f_calc = xrs_map.structure_factors(d_min = d_min).f_calc()
fft_map = f_calc.fft_map(resolution_factor=resolution_factor)
fft_map.apply_sigma_scaling()
target_map = fft_map.real_map_unpadded()
mtz_dataset = f_calc.as_mtz_dataset(column_root_label = "FCmap")
mtz_object = mtz_dataset.mtz_object()
mtz_object.write(file_name = "answer.mtz")
# poor
mon_lib_srv = monomer_library.server.server()
processed_pdb_file = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = monomer_library.server.ener_lib(),
raw_records = flex.std_string(pdb_poor.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
pdb_hierarchy_poor = processed_pdb_file.all_chain_proxies.pdb_hierarchy
xrs_poor = processed_pdb_file.xray_structure()
sites_cart_poor = xrs_poor.sites_cart()
pdb_hierarchy_poor.write_pdb_file(file_name = "poor.pdb")
#
result = mmtbx.refinement.real_space.fit_residues.run(
pdb_hierarchy = pdb_hierarchy_poor,
crystal_symmetry = xrs_poor.crystal_symmetry(),
map_data = target_map,
do_all = True,
rotamer_manager = rotamer_manager,
sin_cos_table = sin_cos_table,
mon_lib_srv = mon_lib_srv)
result.pdb_hierarchy.write_pdb_file(file_name = "refined.pdb")
dist = flex.max(flex.sqrt((xrs_answer.sites_cart() -
result.pdb_hierarchy.atoms().extract_xyz()).dot()))
#assert dist < 0.24, dist
print "Test disabled since current protocol cannot do what test asks for."
def get_loop_or_row(self, loop_name, default=None):
loop_ = self.get_loop(loop_name, None)
if loop_ is None:
ln = loop_name
if ln[-1] != '.':
ln += '.'
found_keys = {}
for key, value in self.iteritems():
if key.startswith(ln):
found_keys[key] = flex.std_string([value])
# constructing the loop
if len(found_keys) > 0:
loop_ = loop(data=found_keys)
if loop_ is None:
return default
return loop_
def get_pdb_inputs(pdb_str):
processed_pdb_file = pdb_interpretation.process(
mon_lib_srv = server.server(),
ener_lib = server.ener_lib(),
raw_records = flex.std_string(pdb_str.splitlines()),
strict_conflict_handling = True,
force_symmetry = True,
log = None)
xrs = processed_pdb_file.xray_structure(show_summary = False)
geometry_restraints_manager = geometry_minimization.\
get_geometry_restraints_manager(processed_pdb_file, xrs)
pdb_hierarchy = processed_pdb_file.all_chain_proxies.pdb_hierarchy
return group_args(
ph = pdb_hierarchy,
grm = geometry_restraints_manager,
xrs = xrs)
def exercise_line_info_exceptions():
pdb.pdb_input(source_info=None, lines=flex.std_string(["ATOM"]))
#
try:
pdb.pdb_input(
source_info="some.pdb",
lines=flex.split_lines("""\
HETATM 9 2H3 MPR B 5 16.388 0.289 6.613 1.00 0.08
ANISOU 9 2H3 MPR B 5 8+8 848 848 0 0 0
"""))
except ValueError, e:
assert not show_diff(str(e), """\
some.pdb, line 2:
ANISOU 9 2H3 MPR B 5 8+8 848 848 0 0 0
---------------------------------^
unexpected plus sign.""")
def exercise_01():
pdb_inp = iotbx.pdb.input(source_info=None, lines=m5_str)
ph = pdb_inp.construct_hierarchy()
xrs_answer = pdb_inp.xray_structure_simple()
xrs_answer.switch_to_neutron_scattering_dictionary()
ph.write_pdb_file(file_name = "answer.pdb")
f_calc = xrs_answer.structure_factors(d_min=1).f_calc()
fft_map = f_calc.fft_map(resolution_factor=0.1)
fft_map.apply_sigma_scaling()
map_data = fft_map.real_map_unpadded()
#
mon_lib_srv = monomer_library.server.server()
ener_lib = monomer_library.server.ener_lib()
ppf = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = ener_lib,
raw_records = flex.std_string(m5_str_HD_rotated.splitlines()),
force_symmetry = True)
geometry = ppf.geometry_restraints_manager(
show_energies = False,
plain_pairs_radius = 5.0)
restraints_manager = mmtbx.restraints.manager(
geometry = geometry, normalization = False)
xrs = ppf.all_chain_proxies.pdb_inp.xray_structure_simple()
ph = ppf.all_chain_proxies.pdb_hierarchy
ph.write_pdb_file(file_name = "poor.pdb")
xrs.switch_to_neutron_scattering_dictionary()
f_calc_poor = f_calc.structure_factors_from_scatterers(
xray_structure = xrs).f_calc()
#
rotatable_h_selection = hydrogens.rotatable(
pdb_hierarchy = ph,
mon_lib_srv = mon_lib_srv,
restraints_manager = restraints_manager,
log = None)
hydrogens.fit_rotatable(pdb_hierarchy=ph, xray_structure=xrs,
map_data=map_data,rotatable_h_selection=rotatable_h_selection)
ph.write_pdb_file(file_name = "result.pdb")
#
f_calc_fixed = f_calc.structure_factors_from_scatterers(
xray_structure = xrs).f_calc()
def r_factor(x,y):
n = flex.sum( flex.abs( abs(x).data() - abs(y).data() ) )
d = flex.sum( flex.abs( abs(x).data() + abs(y).data() ) )/2
return n/d
assert r_factor(f_calc, f_calc_poor) > 0.2
assert r_factor(f_calc, f_calc_fixed) < 0.015
def exercise_02(debug=False):
mon_lib_srv = monomer_library.server.server()
ener_lib = monomer_library.server.ener_lib()
ppf = monomer_library.pdb_interpretation.process(
mon_lib_srv = mon_lib_srv,
ener_lib = ener_lib,
raw_records = flex.std_string(exercise_02_str.splitlines()),
force_symmetry = True)
geometry = ppf.geometry_restraints_manager(
show_energies = False,
plain_pairs_radius = 5.0)
restraints_manager = mmtbx.restraints.manager(
geometry = geometry, normalization = False)
ph = ppf.all_chain_proxies.pdb_hierarchy
sel = hydrogens.rotatable(pdb_hierarchy=ph, mon_lib_srv=mon_lib_srv,
restraints_manager = restraints_manager, log = None)
n_rot_h = hydrogens.count_rotatable(sel)
assert n_rot_h == 43, n_rot_h
