def setUp(self):
self.atoms = [
Atom(type='C', name='a1', component_number=3, x=1.0, y=0.0, z=0.0),
Atom(type='C', name='a2', component_number=2, x=2.0, y=0.0, z=0.0),
Atom(type='N', name='b1', component_number=1, x=3.0, y=0.0, z=0.0),
Atom(type='N', name='c2', component_number=0, x=0.0, y=1.0, z=0.0)
]
self.proxy = AtomProxy(self.atoms)
def __init__(self,
atoms,
pdb=None,
model=None,
type=None,
chain=None,
symmetry=None,
sequence=None,
number=None,
index=None,
insertion_code=None,
polymeric=None,
alt_id=None):
"""Create a new Component.
:atoms: The atoms this component is composed of.
:pdb: The pdb this is a part of.
:model: The model number.
"""
self._atoms = atoms
self.pdb = pdb
self.model = model
self.type = type
self.chain = chain
self.symmetry = symmetry
self.sequence = sequence
self.number = number
self.index = index
self.insertion_code = insertion_code
self.polymeric = polymeric
self.alt_id = alt_id
self.centers = AtomProxy(self._atoms)
if self.sequence in defs.RNAbaseheavyatoms:
atoms = defs.RNAbaseheavyatoms[self.sequence]
self.centers.define('base', atoms)
if self.sequence in defs.nt_backbone:
atoms = defs.nt_backbone[self.sequence]
self.centers.define('nt_backbone', atoms)
if self.sequence in defs.aa_fg:
atoms = defs.aa_fg[self.sequence]
self.centers.define('aa_fg', atoms)
if self.sequence in defs.aa_backbone:
atoms = defs.aa_backbone[self.sequence]
self.centers.define('aa_backbone', atoms)
def setUp(self):
self.atoms = [
Atom(type='C', name='a1', component_number=3,
x=1.0, y=0.0, z=0.0),
Atom(type='C', name='a2', component_number=2,
x=2.0, y=0.0, z=0.0),
Atom(type='N', name='b1', component_number=1,
x=3.0, y=0.0, z=0.0),
Atom(type='N', name='c2', component_number=0,
x=0.0, y=1.0, z=0.0)
]
self.proxy = AtomProxy(self.atoms)
def __init__(self, atoms, pdb=None, model=None, type=None, chain=None,
symmetry=None, sequence=None, number=None, index=None,
insertion_code=None, polymeric=None, alt_id=None):
"""Create a new Component.
:atoms: The atoms this component is composed of.
:pdb: The pdb this is a part of.
:model: The model number.
"""
self._atoms = atoms
self.pdb = pdb
self.model = model
self.type = type
self.chain = chain
self.symmetry = symmetry
self.sequence = sequence
self.number = number
self.index = index
self.insertion_code = insertion_code
self.polymeric = polymeric
self.alt_id = alt_id
self.centers = AtomProxy(self._atoms)
if self.sequence in defs.RNAbaseheavyatoms:
atoms = defs.RNAbaseheavyatoms[self.sequence]
self.centers.define('base', atoms)
if self.sequence in defs.nt_backbone:
atoms = defs.nt_backbone[self.sequence]
self.centers.define('nt_backbone', atoms)
if self.sequence in defs.aa_fg:
atoms = defs.aa_fg[self.sequence]
self.centers.define('aa_fg', atoms)
if self.sequence in defs.aa_backbone:
atoms = defs.aa_backbone[self.sequence]
self.centers.define('aa_backbone', atoms)
class AtomProxyTest(TestCase):
def setUp(self):
self.atoms = [
Atom(type='C', name='a1', component_number=3, x=1.0, y=0.0, z=0.0),
Atom(type='C', name='a2', component_number=2, x=2.0, y=0.0, z=0.0),
Atom(type='N', name='b1', component_number=1, x=3.0, y=0.0, z=0.0),
Atom(type='N', name='c2', component_number=0, x=0.0, y=1.0, z=0.0)
]
self.proxy = AtomProxy(self.atoms)
def test_can_set_a_value(self):
ans = 10
self.proxy['bob'] = ans
val = self.proxy['bob']
self.assertEqual(val, ans)
def test_can_get_atom_value(self):
ans = np.array([0.0, 1.0, 0.0])
val = self.proxy['c2']
np.testing.assert_almost_equal(ans, val)
def test_knows_is_missing_a_value(self):
self.assertFalse('bob' in self.proxy)
def test_gives_empty_numpy_for_unknown_value(self):
self.assertFalse(self.proxy['bob'].any())
def test_it_knows_if_has_atom(self):
self.assertTrue('a1' in self.proxy)
def test_can_test_has_value(self):
self.proxy['bob'] = 1
self.assertTrue('bob' in self.proxy)
def test_knows_has_atom(self):
self.assertTrue('a1' in self.proxy)
def test_lets_override_proxy_lookup(self):
ans = 'a'
self.proxy['a1'] = ans
val = self.proxy['a1']
self.assertEqual(val, ans)
def test_length_counts_atoms(self):
self.proxy['steve'] = 3
ans = 5
val = len(self.proxy)
self.assertEqual(val, ans)
def test_can_find_new_atom_positions(self):
self.atoms.append(Atom(name='s', x=3.0, y=2.0, z=1.0))
val = self.proxy['s']
ans = np.array([3.0, 2.0, 1.0])
np.testing.assert_almost_equal(ans, val)
def test_does_not_fail_if_given_several_with_missing_name(self):
np.testing.assert_almost_equal(np.array([1.0, 0.0, 0.0]),
self.proxy['a1', 'c1'])
def test_can_get_average_of_several_atoms(self):
val = self.proxy['a1', 'c2']
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_get_average_from_list_of_atoms(self):
atoms = ['a1', 'c2']
val = self.proxy[atoms]
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_get_all_atoms_with_star(self):
val = self.proxy['*']
ans = np.array([1.5, 0.25, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_get_average_from_set_of_atoms(self):
atoms = set(['a1', 'c2'])
val = self.proxy[atoms]
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_define_a_center_for_later_use(self):
self.proxy.define('bob', ['a1', 'c2'])
ans = np.array([0.5, 0.5, 0.0])
val = self.proxy['bob']
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_define_a_center_for_one_atom(self):
self.proxy.define('bob', 'a1')
ans = np.array([1.0, 0.0, 0.0])
val = self.proxy['bob']
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_define_a_center_with_missing_atoms(self):
self.proxy.define('bob', ['a1', 'c2', 'steve'])
ans = np.array([0.5, 0.5, 0.0])
val = self.proxy.lookup('bob')
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_define_a_center_with_missing_atoms_but_accesss(self):
self.proxy.define('bob', ['a1', 'c2', 'steve'])
val = self.proxy['bob']
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_defining_and_accessing_prevents_future_failures(self):
self.proxy.define('bob', ['a1', 'c2', 'steve'])
self.proxy.lookup('bob')
ans = np.array([0.5, 0.5, 0.0])
val = self.proxy['bob']
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_defining_stores_a_key(self):
self.proxy.define('bob', 'a1')
self.assertTrue('bob' in self.proxy)
def test_can_lookup_with_missing_values(self):
val = self.proxy.lookup(['a1', 'c2', '3'], allow_missing=True)
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_lookup_unknown_atoms_gives_empty(self):
val = self.proxy.lookup(['3'], allow_missing=True)
self.assertFalse(val.any())
def test_lookup_of_unknown_key_gives_empty(self):
val = self.proxy.lookup('3', allow_missing=True)
self.assertFalse(val.any())
def test_lookup_with_unknown_key_and_no_allowed_raises_error(self):
self.assertRaises(KeyError,
self.proxy.lookup,
'3',
allow_missing=False)
def test_lookup_defaults_to_allow_missing(self):
val = self.proxy.lookup(['a1', 'c2', '3'])
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_get_name_of_defined_centers(self):
assert self.proxy.definitions() == []
self.proxy.define('bob', ['a1', 'c2'])
self.proxy.define('other', ['c2', 'b1'])
assert sorted(self.proxy.definitions()) == sorted(['bob', 'other'])
class Component(EntitySelector):
"""This represents things like nucleic acids, amino acids, small molecules
and ligands.
"""
def __init__(self,
atoms,
pdb=None,
model=None,
type=None,
chain=None,
symmetry=None,
sequence=None,
number=None,
index=None,
insertion_code=None,
polymeric=None,
alt_id=None):
"""Create a new Component.
:atoms: The atoms this component is composed of.
:pdb: The pdb this is a part of.
:model: The model number.
"""
self._atoms = atoms
self.pdb = pdb
self.model = model
self.type = type
self.chain = chain
self.symmetry = symmetry
self.sequence = sequence
self.number = number
self.index = index
self.insertion_code = insertion_code
self.polymeric = polymeric
self.alt_id = alt_id
self.centers = AtomProxy(self._atoms)
if self.sequence in defs.RNAbaseheavyatoms:
atoms = defs.RNAbaseheavyatoms[self.sequence]
self.centers.define('base', atoms)
if self.sequence in defs.nt_backbone:
atoms = defs.nt_backbone[self.sequence]
self.centers.define('nt_backbone', atoms)
if self.sequence in defs.aa_fg:
atoms = defs.aa_fg[self.sequence]
self.centers.define('aa_fg', atoms)
if self.sequence in defs.aa_backbone:
atoms = defs.aa_backbone[self.sequence]
self.centers.define('aa_backbone', atoms)
def atoms(self, **kwargs):
"""Get, filter and sort the atoms in this component. Access is as
described by EntitySelector.
:kwargs: The keyword arguments to filter and sort by.
:returns: A list of the requested atoms.
"""
name = kwargs.get('name')
if isinstance(name, basestring):
definition = self.centers.definition(name)
if definition:
kwargs['name'] = definition
return EntitySelector(self._atoms, **kwargs)
def coordinates(self, **kwargs):
"""Get the coordaintes of all atoms in this component. This will
filter to the requested atoms, sort and then provide a numpy array
of all coordinates for the given atoms.
:kwargs: Arguments to filter and sort by.
:returns: A numpy array of the coordinates.
"""
return np.array([atom.coordinates() for atom in self.atoms(**kwargs)])
def select(self, **kwargs):
"""Select a group of atoms to create a new component out of.
:kwargs: As for atoms.
:returns: A new Component
"""
return Component(list(self.atoms(**kwargs)),
pdb=self.pdb,
model=self.model,
type=self.type,
chain=self.chain,
symmetry=self.symmetry,
sequence=self.sequence,
number=self.number,
index=self.index,
insertion_code=self.insertion_code,
alt_id=self.alt_id,
polymeric=self.polymeric)
def is_complete(self, names, key='name'):
"""This checks if we can find all atoms in this entity with the given
names. This assumes that the names for each atom are unique. If you
wish to use something other than name use the key argument. However, it
must provide a unique value for each atom, if several atoms with the
same value are found will cause the function to behave oddly.
:names: The list of names to check for.
:key: The key to use for getting atoms. Defaults to name.
:returns: True if all atoms with the given name are present.
"""
kwargs = {key: names}
found = list(self.atoms(**kwargs))
return len(found) == len(names)
def infer_hydrogens(self):
"""Infer the coordinates of the hydrogen atoms of this component.
Currently, it only works for RNA with .sequence
"""
if self.sequence not in defs.RNAbaseheavyatoms:
return None
R = []
S = []
baseheavy = defs.RNAbaseheavyatoms[self.sequence]
for atom in self.atoms(name=baseheavy):
coordinates = atom.coordinates()
R.append(coordinates)
S.append(defs.RNAbasecoordinates[self.sequence][atom.name])
R = np.array(R)
R = R.astype(np.float)
S = np.array(S)
try:
rotation_matrix, fitted, base_center, rmsd, sse = \
besttransformation(R, S)
except:
return None
self.rotation_matrix = rotation_matrix
hydrogens = defs.RNAbasehydrogens[self.sequence]
coordinates = defs.RNAbasecoordinates[self.sequence]
for hydrogenatom in hydrogens:
hydrogencoordinates = coordinates[hydrogenatom]
newcoordinates = base_center + \
np.dot(hydrogencoordinates, np.transpose(rotation_matrix))
self._atoms.append(
Atom(name=hydrogenatom,
x=newcoordinates[0, 0],
y=newcoordinates[0, 1],
z=newcoordinates[0, 2]))
def transform(self, transform):
"""Create a new component from this one by applying a transformation
matrix. This does not keep the rotation matrix if any, but will keep
any added hydrogens.
:transform: The transformation matrix to apply.
:returns: A new Component with the same properties by rotated atoms.
"""
atoms = [atom.transform(transform) for atom in self.atoms()]
return Component(atoms,
pdb=self.pdb,
model=self.model,
type=self.type,
chain=self.chain,
symmetry=self.symmetry,
sequence=self.sequence,
number=self.number,
index=self.index,
insertion_code=self.insertion_code,
alt_id=self.alt_id,
polymeric=self.polymeric)
def unit_id(self):
"""Compute the unit id of this Component.
:returns: The unit id.
"""
return encode({
'pdb': self.pdb,
'model': self.model,
'chain': self.chain,
'component_id': self.sequence,
'component_number': self.number,
'alt_id': self.alt_id,
'insertion_code': self.insertion_code,
'symmetry': self.symmetry
})
def atoms_within(self, other, using=None, to=None, cutoff=4.0):
"""Determine if there are any atoms from another component within some
distance.
:other: Another component to compare agains.
:using: The atoms from this component to compare with.
:to: The atoms from the other component to compare against.
:cutoff: The distances atoms must be within. Default 4.0
"""
kw1 = {}
if using:
kw1['name'] = using
kw2 = {}
if to:
kw2['name'] = to
for atom1 in self.atoms(**kw1):
for atom2 in other.atoms(**kw2):
if atom1.distance(atom2) <= abs(cutoff):
return True
return False
def distance(self, other, using='*', to='*'):
"""Compute a center center distance between this and another component.
:other: The other component to get distance to.
:using: A list of atom names to use for this component. Defaults to '*'
meaning all atoms.
:to: A list of atoms names for the second component. Defaults to '*'
meaning all atoms.
:returns: The distance between the two centers.
"""
coordinates = self.centers[using]
other_coord = other.centers[to]
distance = np.subtract(coordinates, other_coord)
return np.linalg.norm(distance)
def __len__(self):
"""Compute the length of this Component. This is the number of atoms in
this residue.
:returns: The number of atoms.
"""
return len(self._atoms)
def __eq__(self, other):
return isinstance(other, Component) and \
self.pdb == other.pdb and \
self.model == other.model and \
self.chain == other.chain and \
self.symmetry == other.symmetry and \
self.sequence == other.sequence and \
self.number == other.number and \
self.insertion_code == other.insertion_code and \
self.alt_id == other.alt_id
def __repr__(self):
return '<Component %s>' % self.unit_id()
def __init__(self,
atoms,
pdb=None,
model=None,
type=None,
chain=None,
symmetry=None,
sequence=None,
number=None,
index=None,
insertion_code=None,
polymeric=None,
alt_id=None,
inferhydrogens=True):
"""Create a new Component.
:atoms: The atoms this component is composed of.
:pdb: The pdb this is a part of.
:model: The model number.
"""
self._atoms = atoms
self.pdb = pdb
self.model = model
self.type = type
self.chain = chain
self.symmetry = symmetry
self.sequence = sequence
self.number = number
self.index = index
self.insertion_code = insertion_code
self.polymeric = polymeric
self.alt_id = alt_id
self.base_center = None
self.rotation_matrix = None
# for bases, calculate and store rotation_matrix
# calculate and store base_center; especially for modified nt without all heavy atoms
self.calculate_rotation_matrix()
# initialize centers so they can be used to infer hydrogens
self.centers = AtomProxy(self._atoms)
# add hydrogen atoms to standard bases and amino acids
if inferhydrogens:
self.infer_hydrogens()
# initialize centers again to include hydrogens
self.centers = AtomProxy(self._atoms)
# standard and modified bases should have their rotation matrix
# calculated already, and should have a base center set by that
# if they don't, there is no sensible way to assign a base center,
# for example if the structure just has a backbone trace
if self.base_center is not None:
self.centers.setcenter('base', self.base_center)
if self.sequence in defs.nt_sugar:
atoms = defs.nt_sugar[self.sequence]
self.centers.define('nt_sugar', atoms)
if self.sequence in defs.nt_phosphate:
atoms = defs.nt_phosphate[self.sequence]
self.centers.define('nt_phosphate', atoms)
# attempt to add sugar and phosphate centers for all modified nucleotides
if self.sequence in defs.modified_nucleotides:
atoms = defs.nt_sugar['A']
self.centers.define('nt_sugar', atoms)
atoms = defs.nt_phosphate['A']
self.centers.define('nt_phosphate', atoms)
if self.sequence in defs.aa_fg:
atoms = defs.aa_fg[self.sequence]
self.centers.define('aa_fg', atoms)
if self.sequence in defs.aa_backbone:
atoms = defs.aa_backbone[self.sequence]
self.centers.define('aa_backbone', atoms)
class Component(EntitySelector):
"""This represents things like nucleic acids, amino acids, small molecules
and ligands.
"""
def __init__(self,
atoms,
pdb=None,
model=None,
type=None,
chain=None,
symmetry=None,
sequence=None,
number=None,
index=None,
insertion_code=None,
polymeric=None,
alt_id=None,
inferhydrogens=True):
"""Create a new Component.
:atoms: The atoms this component is composed of.
:pdb: The pdb this is a part of.
:model: The model number.
"""
self._atoms = atoms
self.pdb = pdb
self.model = model
self.type = type
self.chain = chain
self.symmetry = symmetry
self.sequence = sequence
self.number = number
self.index = index
self.insertion_code = insertion_code
self.polymeric = polymeric
self.alt_id = alt_id
self.base_center = None
self.rotation_matrix = None
# for bases, calculate and store rotation_matrix
# calculate and store base_center; especially for modified nt without all heavy atoms
self.calculate_rotation_matrix()
# initialize centers so they can be used to infer hydrogens
self.centers = AtomProxy(self._atoms)
# add hydrogen atoms to standard bases and amino acids
if inferhydrogens:
self.infer_hydrogens()
# initialize centers again to include hydrogens
self.centers = AtomProxy(self._atoms)
# standard and modified bases should have their rotation matrix
# calculated already, and should have a base center set by that
# if they don't, there is no sensible way to assign a base center,
# for example if the structure just has a backbone trace
if self.base_center is not None:
self.centers.setcenter('base', self.base_center)
if self.sequence in defs.nt_sugar:
atoms = defs.nt_sugar[self.sequence]
self.centers.define('nt_sugar', atoms)
if self.sequence in defs.nt_phosphate:
atoms = defs.nt_phosphate[self.sequence]
self.centers.define('nt_phosphate', atoms)
# attempt to add sugar and phosphate centers for all modified nucleotides
if self.sequence in defs.modified_nucleotides:
atoms = defs.nt_sugar['A']
self.centers.define('nt_sugar', atoms)
atoms = defs.nt_phosphate['A']
self.centers.define('nt_phosphate', atoms)
if self.sequence in defs.aa_fg:
atoms = defs.aa_fg[self.sequence]
self.centers.define('aa_fg', atoms)
if self.sequence in defs.aa_backbone:
atoms = defs.aa_backbone[self.sequence]
self.centers.define('aa_backbone', atoms)
def atoms(self, **kwargs):
"""Get, filter and sort the atoms in this component. Access is as
described by EntitySelector.
:kwargs: The keyword arguments to filter and sort by.
:returns: A list of the requested atoms.
"""
name = kwargs.get('name')
if isinstance(name, basestring):
definition = self.centers.definition(name)
if definition:
kwargs['name'] = definition
return EntitySelector(self._atoms, **kwargs)
def coordinates(self, **kwargs):
"""Get the coordaintes of all atoms in this component. This will
filter to the requested atoms, sort and then provide a numpy array
of all coordinates for the given atoms.
:kwargs: Arguments to filter and sort by.
:returns: A numpy array of the coordinates.
"""
return np.array([atom.coordinates() for atom in self.atoms(**kwargs)])
def select(self, **kwargs):
"""Select a group of atoms to create a new component out of.
:kwargs: As for atoms.
:returns: A new Component
"""
return Component(list(self.atoms(**kwargs)),
pdb=self.pdb,
model=self.model,
type=self.type,
chain=self.chain,
symmetry=self.symmetry,
sequence=self.sequence,
number=self.number,
index=self.index,
insertion_code=self.insertion_code,
alt_id=self.alt_id,
polymeric=self.polymeric,
inferhydrogens=False)
def is_complete(self, names, key='name'):
"""This checks if we can find all atoms in this entity with the given
names. This assumes that the names for each atom are unique. If you
wish to use something other than name use the key argument. However, it
must provide a unique value for each atom, if several atoms with the
same value are found will cause the function to behave oddly.
:names: The list of names to check for.
:key: The key to use for getting atoms. Defaults to name.
:returns: True if all atoms with the given name are present.
"""
kwargs = {key: names}
found = list(self.atoms(**kwargs))
return len(found) == len(names)
def calculate_rotation_matrix(self):
"""Calculate a rotation matrix that will rotate the atoms in an RNA
base into a standard orientation in the xy plane with the Watson-
Crick edge in the positive x and y quadrant.
"""
if self.sequence not in defs.NAbaseheavyatoms and \
self.sequence not in defs.modified_nucleotides:
return None
R = [] # 3d coordinates of observed base
S = [] # 3d coordinates of standard base in xy plane
if self.sequence in defs.NAbaseheavyatoms:
baseheavy = defs.NAbaseheavyatoms[self.sequence]
for atom in self.atoms(name=baseheavy):
R.append(atom.coordinates())
S.append(defs.NAbasecoordinates[self.sequence][atom.name])
if self.sequence in defs.modified_nucleotides:
current = defs.modified_nucleotides[self.sequence]
standard_coords = defs.NAbasecoordinates[current["standard"]]
for atom in self.atoms(name=current["atoms"].keys()):
R.append(atom.coordinates())
S.append(standard_coords[atom.name])
R = np.array(R)
R = R.astype(np.float)
S = np.array(S)
S = S.astype(np.float)
try:
rotation_matrix, fitted, meanR, rmsd, sse, meanS = \
besttransformation(R, S)
except:
if len(R) != len(S):
print(
"%s Rotation matrix calculation failed, sizes %d and %d" %
(self.unit_id(), len(R), len(S)))
elif len(R) < 3:
print("%s Rotation matrix calculation failed, %d new atoms" %
(self.unit_id(), len(R)))
elif len(S) < 3:
print(
"%s Rotation matrix calculation failed, %d standard atoms"
% (self.unit_id(), len(S)))
else:
print("%s Rotation matrix calculation failed, not sure why" %
self.unit_id())
return None
self.rotation_matrix = rotation_matrix
# map the origin out to where the center of the base should be
if self.sequence in defs.NAbaseheavyatoms:
# standard bases are designed to have meanS zero; less work
self.base_center = meanR
else:
# some modified bases are missing some heavy atoms, meanS not zero
# this comes out as a numpy matrix? different than meanR above
base_center = np.subtract(meanR, np.dot(rotation_matrix, meanS))
self.base_center = np.array(
[base_center[0, 0], base_center[0, 1], base_center[0, 2]])
""" For the life of me, I could not figure out any other way of
converting base_center from a 2d array to a 1d array.
Taking a slice did not work, reshape did not work, etc.
This is crucially important; a 2d array won't be written to the
unit_centers table in the database.
"""
def infer_hydrogens(self):
"""Infer the coordinates of the hydrogen atoms of this component.
RNA and DNA work, and amino acids are being added.
This code only adds hydrogens with their name, but the Atom entity
does not have the full unit ID of the atom, unlike the heavy atoms
taken from the CIF file.
"""
if self.sequence in defs.NAbasehydrogens and self.rotation_matrix is not None:
hydrogens = defs.NAbasehydrogens[self.sequence]
coordinates = defs.NAbasecoordinates[self.sequence]
current_hydrogens = [a.name for a in self._atoms if "H" in a.name]
#print("Current hydrogens: ",current_hydrogens)
for hydrogenatom in hydrogens:
if not hydrogenatom in current_hydrogens:
#print("Adding",hydrogenatom,"to",self.unit_id())
hydrogencoordinates = coordinates[hydrogenatom]
newcoordinates = self.base_center + \
np.dot(self.rotation_matrix, hydrogencoordinates)
self._atoms.append(
Atom(name=hydrogenatom,
x=newcoordinates[0, 0],
y=newcoordinates[0, 1],
z=newcoordinates[0, 2]))
try:
if self.sequence == "ARG":
N1, N2 = planar_hydrogens(self.centers["NE"],
self.centers["CZ"],
self.centers["NH1"], NHBondLength)
self._atoms.append(Atom(name="HH11", x=N1[0], y=N1[1],
z=N1[2]))
self._atoms.append(Atom(name="HH12", x=N2[0], y=N2[1],
z=N2[2]))
N1, N2 = planar_hydrogens(self.centers["NE"],
self.centers["CZ"],
self.centers["NH2"])
self._atoms.append(Atom(name="HH22", x=N1[0], y=N1[1],
z=N1[2]))
self._atoms.append(Atom(name="HH21", x=N2[0], y=N2[1],
z=N2[2]))
# the following lines assume that NH2 is closer to CD
# than NH1 is however, some structures aren't labeled
# that way, and so either N1 or N2 could be the correct
# location for HE
N1, N2 = planar_hydrogens(self.centers["NH1"],
self.centers["CZ"],
self.centers["NE"])
self._atoms.append(Atom(name="HE", x=N1[0], y=N1[1], z=N1[2]))
N1, N2 = pyramidal_hydrogens(self.centers["CG"],
self.centers["CD"],
self.centers["NE"])
self._atoms.append(Atom(name="HD3", x=N1[0], y=N1[1], z=N1[2]))
self._atoms.append(Atom(name="HD2", x=N2[0], y=N2[1], z=N2[2]))
N1, N2 = pyramidal_hydrogens(self.centers["CB"],
self.centers["CG"],
self.centers["CD"])
self._atoms.append(Atom(name="HG2", x=N1[0], y=N1[1], z=N1[2]))
self._atoms.append(Atom(name="HG3", x=N2[0], y=N2[1], z=N2[2]))
N1, N2 = pyramidal_hydrogens(self.centers["CA"],
self.centers["CB"],
self.centers["CG"])
self._atoms.append(Atom(name="HB2", x=N1[0], y=N1[1], z=N1[2]))
self._atoms.append(Atom(name="HB3", x=N2[0], y=N2[1], z=N2[2]))
N1, N2 = pyramidal_hydrogens(self.centers["C"],
self.centers["CA"],
self.centers["CB"])
self._atoms.append(Atom(name="HA", x=N2[0], y=N2[1], z=N2[2]))
elif self.sequence == "LYS":
N1, N2 = planar_hydrogens(self.centers["CD"],
self.centers["CE"],
self.centers["NZ"], NHBondLength)
self._atoms.append(Atom(name="HZ3", x=N1[0], y=N1[1], z=N1[2]))
N1, N2 = pyramidal_hydrogens(self.centers["CG"],
self.centers["CD"],
self.centers["CE"])
self._atoms.append(Atom(name="HD2", x=N1[0], y=N1[1], z=N1[2]))
self._atoms.append(Atom(name="HD3", x=N2[0], y=N2[1], z=N2[2]))
N1, N2 = pyramidal_hydrogens(self.centers["CB"],
self.centers["CG"],
self.centers["CD"])
self._atoms.append(Atom(name="HG2", x=N1[0], y=N1[1], z=N1[2]))
self._atoms.append(Atom(name="HG3", x=N2[0], y=N2[1], z=N2[2]))
N1, N2 = pyramidal_hydrogens(self.centers["CD"],
self.centers["CE"],
self.centers["NZ"])
self._atoms.append(Atom(name="HE2", x=N1[0], y=N1[1], z=N1[2]))
self._atoms.append(Atom(name="HE3", x=N2[0], y=N2[1], z=N2[2]))
N1, N2 = pyramidal_hydrogens(self.centers["CA"],
self.centers["CB"],
self.centers["CG"])
self._atoms.append(Atom(name="HB2", x=N1[0], y=N1[1], z=N1[2]))
self._atoms.append(Atom(name="HB3", x=N2[0], y=N2[1], z=N2[2]))
N1, N2 = pyramidal_hydrogens(self.centers["C"],
self.centers["CA"],
self.centers["CB"])
self._atoms.append(Atom(name="HA", x=N2[0], y=N2[1], z=N2[2]))
N1, N2 = planar_hydrogens(self.centers["CD"],
self.centers["HD3"],
self.centers["NZ"])
self._atoms.append(Atom(name="HZ2", x=N1[0], y=N1[1], z=N1[2]))
except:
print self.unit_id(), "Adding hydrogens failed"
def transform(self, transform_matrix):
"""Create a new component from "self" by applying the 4x4 transformation
matrix. This does not keep the rotation matrix if any,
but will keep any added hydrogens.
:transform_matrix: The 4x4 transformation matrix to apply.
:returns: A new Component with the same properties except with
transformed coordinates.
"""
atoms = [atom.transform(transform_matrix) for atom in self.atoms()]
comp = Component(atoms,
pdb=self.pdb,
model=self.model,
type=self.type,
chain=self.chain,
symmetry=self.symmetry,
sequence=self.sequence,
number=self.number,
index=self.index,
insertion_code=self.insertion_code,
alt_id=self.alt_id,
polymeric=self.polymeric,
inferhydrogens=False)
return comp
def translate_rotate(self, residue):
reference = self.centers["base"]
rotation = self.rotation_matrix
for atom in residue.atoms():
atom_coord = atom.coordinates()
dist_translate = np.subtract(atom_coord, reference)
dist_aa_matrix = np.matrix(dist_translate)
rotated_atom = dist_aa_matrix * rotation
coord_array = np.array(rotated_atom)
a = coord_array.flatten()
transformed_coord = a.tolist()
return transformed_coord
def translate_rotate_component(self, component):
"""Translate and rotate the atoms in component according to
the translation and rotation that will bring self to standard
position at the origin.
:param Component residue: the residue to move
:returns Component newcomp
"""
atoms = [
self.translate_rotate_atom(atom) for atom in component.atoms()
]
newcomp = Component(atoms,
pdb=component.pdb,
model=component.model,
type=component.type,
chain=component.chain,
symmetry=component.symmetry,
sequence=component.sequence,
number=component.number,
index=component.index,
insertion_code=component.insertion_code,
alt_id=component.alt_id,
polymeric=component.polymeric,
inferhydrogens=False)
return newcomp
def translate_rotate_atom(self, atom):
"""Translate and rotate atom according to
the translation and rotation that will bring self to standard
position at the origin.
:param Atom atom: The Atom to move.
:returns Atom: The moved atom.
"""
atom_coord = atom.coordinates()
translated_coord = np.subtract(atom_coord, self.base_center)
translated_coord_matrix = np.matrix(translated_coord)
rotated_coord = translated_coord_matrix * self.rotation_matrix
coord_array = np.array(rotated_coord)
a = coord_array.flatten()
x, y, z = a.tolist()
return Atom(x=x,
y=y,
z=z,
pdb=atom.pdb,
model=atom.model,
chain=atom.chain,
component_id=atom.component_id,
component_number=atom.component_number,
component_index=atom.component_index,
insertion_code=atom.insertion_code,
alt_id=atom.alt_id,
group=atom.group,
type=atom.type,
name=atom.name,
symmetry=atom.symmetry,
polymeric=atom.polymeric)
def standard_transformation(self):
"""Returns a 4X4 transformation matrix which can be used to transform
any component to the same relative location as the "self" argument in
its standard location. If this is not an RNA component then this returns
None.
:returns: A numpy array suitable for input to self.transform to produce
a transformed component.
"""
if 'base' not in self.centers:
return None
base_center = self.centers["base"]
if len(base_center) == 0:
return None
seq = self.sequence
dist_translate = base_center
rotation_matrix_transpose = self.rotation_matrix.transpose()
matrix = np.zeros((4, 4))
matrix[0:3, 0:3] = rotation_matrix_transpose
matrix[0:3, 3] = -np.dot(rotation_matrix_transpose, dist_translate)
matrix[3, 3] = 1.0
return matrix
def translate(self, aa_residue):
if 'base' not in self.centers:
return None
rotation = self.rotation_matrix
for atom in aa_residue:
dist_translate = np.subtract(atom, self.centers["base"])
rotated_atom = dist_translate * rotation
coord_array = np.array(rotated_atom)
a = coord_array.flatten()
coord = a.tolist()
return coord
def unit_id(self):
"""Compute the unit id of this Component.
:returns: The unit id.
"""
return encode({
'pdb': self.pdb,
'model': self.model,
'chain': self.chain,
'component_id': self.sequence,
'component_number': self.number,
'alt_id': self.alt_id,
'insertion_code': self.insertion_code,
'symmetry': self.symmetry
})
def atoms_within(self, other, cutoff, using=None, to=None, min_number=1):
"""Determine if there are any atoms from another component within some
distance.
:other: Another component to compare agains.
:using: The atoms from this component to compare with.
:to: The atoms from the other component to compare against.
:cutoff: The distances atoms must be within. Default 4.0
"""
kw1 = {}
if using:
kw1['name'] = using
kw2 = {}
if to:
kw2['name'] = to
n = 0
for atom1 in self.atoms(**kw1):
for atom2 in other.atoms(**kw2):
if atom1.distance(atom2) <= abs(cutoff):
n = n + 1
if n >= min_number:
return True
def distance(self, other, using='*', to='*'):
"""Compute a center center distance between this and another component.
:other: The other component to get distance to.
:using: A list of atom names to use for this component. Defaults to '*'
meaning all atoms.
:to: A list of atoms names for the second component. Defaults to '*'
meaning all atoms.
:returns: The distance between the two centers.
"""
coordinates = self.centers[using]
other_coord = other.centers[to]
distance = np.subtract(coordinates, other_coord)
return np.linalg.norm(distance)
def __len__(self):
"""Compute the length of this Component. This is the number of atoms in
this residue.
:returns: The number of atoms.
"""
return len(self._atoms)
def __eq__(self, other):
return isinstance(other, Component) and \
self.pdb == other.pdb and \
self.model == other.model and \
self.chain == other.chain and \
self.symmetry == other.symmetry and \
self.sequence == other.sequence and \
self.number == other.number and \
self.insertion_code == other.insertion_code and \
self.alt_id == other.alt_id
def __repr__(self):
return '<Component %s>' % self.unit_id()
def angle_between_normals(self, aa_residue):
vec1 = self.normal_calculation()
vec2 = aa_residue.normal_calculation()
return angrot.angle_between_planes(vec1, vec2)
def normal_calculation(self):
key = self.sequence
P1 = self.centers[defs.planar_atoms[key][0]]
P2 = self.centers[defs.planar_atoms[key][1]]
P3 = self.centers[defs.planar_atoms[key][2]]
vector = np.cross((P2 - P1), (P3 - P1))
return vector
def enough_hydrogen_bonds(self, second, min_distance=4, min_bonds=2):
"""Calculates atom to atom distance of part "aa_part" of neighboring
amino acids of type "aa" from each atom of base. Only returns a pair
of aa/nt if two or more atoms are within the cutoff distance.
"""
HB_atoms = set([
'N', 'NH1', 'NH2', 'NE', 'NZ', 'ND1', 'NE2', 'O', 'OD1', 'OE1',
'OE2', 'OG', 'OH'
])
n = 0
base_seq = self.sequence()
for base_atom in self.atoms(name=defs.NAbaseheavyatoms[base_seq]):
for aa_atom in second.atoms(name=defs.aa_fg[second.sequence]):
distance = np.subtract(base_atom.coordinates(),
aa_atom.coordinates())
distance = np.linalg.norm(distance)
if distance <= min_distance and aa_atom.name in HB_atoms:
n = n + 1
if n > min_bonds:
return True
return False
def stacking_tilt(aa_residue, aa_coordinates):
baa_dist_list = []
for aa_atom in aa_residue.atoms(name=defs.aa_fg[aa_residue.sequence]):
key = aa_atom.name
aa_z = aa_coordinates[key][2]
baa_dist_list.append(aa_z)
max_baa = max(baa_dist_list)
min_baa = min(baa_dist_list)
diff = max_baa - min_baa
#print aa_residue.unit_id(), diff
if diff <= defs.tilt_cutoff[aa_residue.sequence]:
return "stacked"
class Component(EntitySelector):
"""This represents things like nucleic acids, amino acids, small molecules
and ligands.
"""
def __init__(self, atoms, pdb=None, model=None, type=None, chain=None,
symmetry=None, sequence=None, number=None, index=None,
insertion_code=None, polymeric=None, alt_id=None):
"""Create a new Component.
:atoms: The atoms this component is composed of.
:pdb: The pdb this is a part of.
:model: The model number.
"""
self._atoms = atoms
self.pdb = pdb
self.model = model
self.type = type
self.chain = chain
self.symmetry = symmetry
self.sequence = sequence
self.number = number
self.index = index
self.insertion_code = insertion_code
self.polymeric = polymeric
self.alt_id = alt_id
self.centers = AtomProxy(self._atoms)
if self.sequence in defs.RNAbaseheavyatoms:
atoms = defs.RNAbaseheavyatoms[self.sequence]
self.centers.define('base', atoms)
if self.sequence in defs.nt_backbone:
atoms = defs.nt_backbone[self.sequence]
self.centers.define('nt_backbone', atoms)
if self.sequence in defs.aa_fg:
atoms = defs.aa_fg[self.sequence]
self.centers.define('aa_fg', atoms)
if self.sequence in defs.aa_backbone:
atoms = defs.aa_backbone[self.sequence]
self.centers.define('aa_backbone', atoms)
def atoms(self, **kwargs):
"""Get, filter and sort the atoms in this component. Access is as
described by EntitySelector.
:kwargs: The keyword arguments to filter and sort by.
:returns: A list of the requested atoms.
"""
name = kwargs.get('name')
if isinstance(name, basestring):
definition = self.centers.definition(name)
if definition:
kwargs['name'] = definition
return EntitySelector(self._atoms, **kwargs)
def coordinates(self, **kwargs):
"""Get the coordaintes of all atoms in this component. This will
filter to the requested atoms, sort and then provide a numpy array
of all coordinates for the given atoms.
:kwargs: Arguments to filter and sort by.
:returns: A numpy array of the coordinates.
"""
return np.array([atom.coordinates() for atom in self.atoms(**kwargs)])
def select(self, **kwargs):
"""Select a group of atoms to create a new component out of.
:kwargs: As for atoms.
:returns: A new Component
"""
return Component(list(self.atoms(**kwargs)),
pdb=self.pdb,
model=self.model,
type=self.type,
chain=self.chain,
symmetry=self.symmetry,
sequence=self.sequence,
number=self.number,
index=self.index,
insertion_code=self.insertion_code,
alt_id=self.alt_id,
polymeric=self.polymeric)
def is_complete(self, names, key='name'):
"""This checks if we can find all atoms in this entity with the given
names. This assumes that the names for each atom are unique. If you
wish to use something other than name use the key argument. However, it
must provide a unique value for each atom, if several atoms with the
same value are found will cause the function to behave oddly.
:names: The list of names to check for.
:key: The key to use for getting atoms. Defaults to name.
:returns: True if all atoms with the given name are present.
"""
kwargs = {key: names}
found = list(self.atoms(**kwargs))
return len(found) == len(names)
def infer_hydrogens(self):
"""Infer the coordinates of the hydrogen atoms of this component.
Currently, it only works for RNA with .sequence
"""
if self.sequence not in defs.RNAbaseheavyatoms:
return None
R = []
S = []
baseheavy = defs.RNAbaseheavyatoms[self.sequence]
for atom in self.atoms(name=baseheavy):
coordinates = atom.coordinates()
R.append(coordinates)
S.append(defs.RNAbasecoordinates[self.sequence][atom.name])
R = np.array(R)
R = R.astype(np.float)
S = np.array(S)
try:
rotation_matrix, fitted, base_center, rmsd, sse = \
besttransformation(R, S)
except:
return None
self.rotation_matrix = rotation_matrix
hydrogens = defs.RNAbasehydrogens[self.sequence]
coordinates = defs.RNAbasecoordinates[self.sequence]
for hydrogenatom in hydrogens:
hydrogencoordinates = coordinates[hydrogenatom]
newcoordinates = base_center + \
np.dot(hydrogencoordinates, np.transpose(rotation_matrix))
self._atoms.append(Atom(name=hydrogenatom,
x=newcoordinates[0, 0],
y=newcoordinates[0, 1],
z=newcoordinates[0, 2]))
def transform(self, transform):
"""Create a new component from this one by applying a transformation
matrix. This does not keep the rotation matrix if any, but will keep
any added hydrogens.
:transform: The transformation matrix to apply.
:returns: A new Component with the same properties by rotated atoms.
"""
atoms = [atom.transform(transform) for atom in self.atoms()]
return Component(atoms, pdb=self.pdb,
model=self.model,
type=self.type,
chain=self.chain,
symmetry=self.symmetry,
sequence=self.sequence,
number=self.number,
index=self.index,
insertion_code=self.insertion_code,
alt_id=self.alt_id,
polymeric=self.polymeric)
def unit_id(self):
"""Compute the unit id of this Component.
:returns: The unit id.
"""
return encode({
'pdb': self.pdb,
'model': self.model,
'chain': self.chain,
'component_id': self.sequence,
'component_number': self.number,
'alt_id': self.alt_id,
'insertion_code': self.insertion_code,
'symmetry': self.symmetry
})
def atoms_within(self, other, using=None, to=None, cutoff=4.0):
"""Determine if there are any atoms from another component within some
distance.
:other: Another component to compare agains.
:using: The atoms from this component to compare with.
:to: The atoms from the other component to compare against.
:cutoff: The distances atoms must be within. Default 4.0
"""
kw1 = {}
if using:
kw1['name'] = using
kw2 = {}
if to:
kw2['name'] = to
for atom1 in self.atoms(**kw1):
for atom2 in other.atoms(**kw2):
if atom1.distance(atom2) <= abs(cutoff):
return True
return False
def distance(self, other, using='*', to='*'):
"""Compute a center center distance between this and another component.
:other: The other component to get distance to.
:using: A list of atom names to use for this component. Defaults to '*'
meaning all atoms.
:to: A list of atoms names for the second component. Defaults to '*'
meaning all atoms.
:returns: The distance between the two centers.
"""
coordinates = self.centers[using]
other_coord = other.centers[to]
distance = np.subtract(coordinates, other_coord)
return np.linalg.norm(distance)
def __len__(self):
"""Compute the length of this Component. This is the number of atoms in
this residue.
:returns: The number of atoms.
"""
return len(self._atoms)
def __eq__(self, other):
return isinstance(other, Component) and \
self.pdb == other.pdb and \
self.model == other.model and \
self.chain == other.chain and \
self.symmetry == other.symmetry and \
self.sequence == other.sequence and \
self.number == other.number and \
self.insertion_code == other.insertion_code and \
self.alt_id == other.alt_id
def __repr__(self):
return '<Component %s>' % self.unit_id()
class AtomProxyTest(TestCase):
def setUp(self):
self.atoms = [
Atom(type='C', name='a1', component_number=3,
x=1.0, y=0.0, z=0.0),
Atom(type='C', name='a2', component_number=2,
x=2.0, y=0.0, z=0.0),
Atom(type='N', name='b1', component_number=1,
x=3.0, y=0.0, z=0.0),
Atom(type='N', name='c2', component_number=0,
x=0.0, y=1.0, z=0.0)
]
self.proxy = AtomProxy(self.atoms)
def test_can_set_a_value(self):
ans = 10
self.proxy['bob'] = ans
val = self.proxy['bob']
self.assertEqual(val, ans)
def test_can_get_atom_value(self):
ans = np.array([0.0, 1.0, 0.0])
val = self.proxy['c2']
np.testing.assert_almost_equal(ans, val)
def test_knows_is_missing_a_value(self):
self.assertFalse('bob' in self.proxy)
def test_it_knows_if_has_atom(self):
self.assertTrue('a1' in self.proxy)
def test_can_test_has_value(self):
self.proxy['bob'] = 1
self.assertTrue('bob' in self.proxy)
def test_knows_has_atom(self):
self.assertTrue('a1' in self.proxy)
def test_lets_override_proxy_lookup(self):
ans = 'a'
self.proxy['a1'] = ans
val = self.proxy['a1']
self.assertEqual(val, ans)
def test_length_counts_atoms(self):
self.proxy['steve'] = 3
ans = 5
val = len(self.proxy)
self.assertEqual(val, ans)
def test_can_find_new_atom_positions(self):
self.atoms.append(Atom(name='s', x=3.0, y=2.0, z=1.0))
val = self.proxy['s']
ans = np.array([3.0, 2.0, 1.0])
np.testing.assert_almost_equal(ans, val)
def test_does_not_fail_if_given_several_with_missing_name(self):
np.testing.assert_almost_equal(np.array([1.0, 0.0, 0.0]),
self.proxy['a1', 'c1'])
def test_can_get_average_of_several_atoms(self):
val = self.proxy['a1', 'c2']
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_get_average_from_list_of_atoms(self):
atoms = ['a1', 'c2']
val = self.proxy[atoms]
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_get_all_atoms_with_star(self):
val = self.proxy['*']
ans = np.array([1.5, 0.25, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_get_average_from_set_of_atoms(self):
atoms = set(['a1', 'c2'])
val = self.proxy[atoms]
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_define_a_center_for_later_use(self):
self.proxy.define('bob', ['a1', 'c2'])
ans = np.array([0.5, 0.5, 0.0])
val = self.proxy['bob']
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_define_a_center_for_one_atom(self):
self.proxy.define('bob', 'a1')
ans = np.array([1.0, 0.0, 0.0])
val = self.proxy['bob']
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_define_a_center_with_missing_atoms(self):
self.proxy.define('bob', ['a1', 'c2', 'steve'])
ans = np.array([0.5, 0.5, 0.0])
val = self.proxy.lookup('bob')
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_define_a_center_with_missing_atoms_but_accesss(self):
self.proxy.define('bob', ['a1', 'c2', 'steve'])
val = self.proxy['bob']
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_can_defining_and_accessing_prevents_future_failures(self):
self.proxy.define('bob', ['a1', 'c2', 'steve'])
self.proxy.lookup('bob')
ans = np.array([0.5, 0.5, 0.0])
val = self.proxy['bob']
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_defining_stores_a_key(self):
self.proxy.define('bob', 'a1')
self.assertTrue('bob' in self.proxy)
def test_can_lookup_with_missing_values(self):
val = self.proxy.lookup(['a1', 'c2', '3'], allow_missing=True)
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
def test_lookup_unknown_atoms_gives_empty(self):
val = self.proxy.lookup(['3'], allow_missing=True)
self.assertEquals([], val)
def test_lookup_of_unknown_key_gives_empty(self):
val = self.proxy.lookup('3', allow_missing=True)
self.assertEquals([], val)
def test_lookup_defaults_to_allow_missing(self):
val = self.proxy.lookup(['a1', 'c2', '3'])
ans = np.array([0.5, 0.5, 0.0])
np.testing.assert_array_almost_equal(ans, val, decimal=3)
