import pele.amber.read_amber as ra
def cart_to_internal(molecule):
""" Converts the coordinates of the molecule from cartesian to internal
coordinates. """
# First decide on a starting atom
source_node = molecule.atoms.nodes()[0]
# Argh, dictionaries aren't sorted...
completed_bonds = {source_node: []}
for edge in nx.dfs_edges(molecule.atoms, source_node):
completed_bonds[edge[1]] = [edge[0]]
# completed_bonds[2] += [x for x in completed_bonds[1][1:] if x not in completed_bonds[2]]
# completed_bonds[3] += [x for x in completed_bonds[2][1:] if x not in completed_bonds[3]]
for entry in completed_bonds:
print(entry, completed_bonds[entry])
# completed.append(completed[-1] + [search_tree.neighbors(source_node)[0]])
#completed.append(completed[-1] + [[x for x in search_tree.neighbors(completed[-1][-1]) if x not in completed[-1]][0]])
#completed.append(completed[-1] + [[x for x in search_tree.neighbors(completed[-1][-1]) if x not in completed[-1]][0]])
#print nx.single_source_shortest_path(molecule.atoms, source_node)
if __name__ == "__main__":
topology_data = ra.read_topology("/home/khs26/coords.prmtop")
mol = ra.create_molecule(topology_data)
mol.read_coords("/home/khs26/coords.inpcrd")
cart_to_internal(mol)
def measure_dihedral(coords, atoms):
indices = [3 * atom + k for atom in atoms for k in range(3)]
coords_0 = coords[indices[0:3]]
coords_1 = coords[indices[3:6]]
coords_2 = coords[indices[6:9]]
coords_3 = coords[indices[9:12]]
b1 = coords_1 - coords_0
b2 = coords_2 - coords_1
b3 = coords_3 - coords_2
b2_b3 = np.cross(b2, b3)
b1_b2 = np.cross(b1, b2)
angle = np.arctan2(
np.linalg.norm(b2) * np.dot(b1, b2_b3), np.dot(b1_b2, b2_b3))
return angle
if __name__ == "__main__":
import pele.amber.read_amber as amber
import playground.group_rotation.amino_acids as amino
topology_data = amber.read_topology("/home/khs26/coords.prmtop")
parsed = amber.create_atoms_and_residues(topology_data)
test_params = amber.group_rotation_dict(parsed, amino.def_parameters)
test_coords = np.array(
amber.read_amber_coords("/home/khs26/coords.inpcrd"))
testGR = GroupRotation(test_params)
pre_coords = test_coords.copy()
result = testGR.takeStep(test_coords)
print test_coords - pre_coords
# Create a filter, telling it to compress with zlib.
filters = ts.Filters(complib='zlib')
for amino_acid in (amino.amino_acids):
table = fileh.create_table("/RotamerGroupTemplates",
amino_acid,
RotamerGroupTemplate,
"Template for {res}".format(res=amino_acid))
# Get the record object associated with the table.
group_template = table.row
# Read in an appropriate topology file and create a molecular graph.
filename = '/scratch/khs26/rotamer_lib_igb2/{res}/{res}/{res}/coords.prmtop'.format(res=amino_acid)
topology = ra.read_topology(filename)
mol_graph = ra.create_atoms_and_residues(topology)
# Get the residue name for the first residue.
res = next(residue for residue in mol_graph.residues.nodes() if residue.index == 1)
# Get a list of dihedrals we are interested in for this residue.
dihedrals = sorted([k[1] for k in amino.def_parameters if k[0] == amino_acid
and not ('C' in k[1] and 'CA' in k[1])])
# For each pair of atoms in a dihedral, find their highest-ranked neighbours for defining the dihedral angle.
dihedral_atoms = {}
dihedral_moving_atoms = {}
for atom_pair in dihedrals:
atom0 = next(n for n in mol_graph.atoms.nodes() if n.name == atom_pair[0] and n.residue == res)
atom1 = next(n for n in mol_graph.atoms.nodes() if n.name == atom_pair[1] and n.residue == res)
# Create a filter, telling it to compress with zlib.
filters = ts.Filters(complib='zlib')
for amino_acid in (amino.amino_acids):
table = fileh.create_table("/RotamerGroupTemplates", amino_acid,
RotamerGroupTemplate,
"Template for {res}".format(res=amino_acid))
# Get the record object associated with the table.
group_template = table.row
# Read in an appropriate topology file and create a molecular graph.
filename = '/scratch/khs26/rotamer_lib_igb2/{res}/{res}/{res}/coords.prmtop'.format(
res=amino_acid)
topology = ra.read_topology(filename)
mol_graph = ra.create_atoms_and_residues(topology)
# Get the residue name for the first residue.
res = next(residue for residue in mol_graph.residues.nodes()
if residue.index == 1)
# Get a list of dihedrals we are interested in for this residue.
dihedrals = sorted([
k[1] for k in amino.def_parameters
if k[0] == amino_acid and not ('C' in k[1] and 'CA' in k[1])
])
# For each pair of atoms in a dihedral, find their highest-ranked neighbours for defining the dihedral angle.
dihedral_atoms = {}
dihedral_moving_atoms = {}
:param sidechains: {Ca: sidechain atoms graph} dictionary
:return: residues: residue type
:return: mapping: atom mapping dictionary
"""
residues = {}
mapping = {}
for sc in sidechains:
for res in res_scs.amino_acids:
graph_match = nx.algorithms.isomorphism.GraphMatcher(res_scs.amino_acids[res], sidechains[sc],
node_match=(lambda x, y: x['element'] == y['element']))
if graph_match.is_isomorphic():
residues[sc.residue] = res
mapping[sc.residue] = graph_match.mapping
break
return residues, mapping
if __name__ == "__main__":
import os.path
topology_data = amber.read_topology(os.path.normpath("B:/flu.prmtop"))
molecule = amber.create_molecule(topology_data)
cands = chir.tetravalent_atoms(molecule.atoms)
chir.multi_bonds(molecule.atoms)
cands2 = chir.rankable_neighbours(cands)[0]
print len(molecule.atoms), len(cands), len(cands2)
# scs = find_sidechains(molecule, [res for res in molecule.residues.nodes()])
# ress, maps = residue_from_sidechain(scs)
# for k, v in sorted(ress.items()):
# print k, v
# for i, j in res_scs.dihedrals:
# print i, j, chir.chiral_order(molecule.atoms, maps[k][i]), chir.chiral_order(molecule.atoms, maps[k][j])
dirname = '/scratch/khs26/rotamer_lib_igb2/ARG/TRP/ALA/'
# First test the order of atoms in lowest and in the topology file
# with open('/scratch/khs26/rotamer_lib_igb2/ALA/ARG/TRP/lowest', 'r') as lowest:
# num_atoms = int(lowest.readline())
# energy = float(lowest.readline().split()[4])
# coords = []
# for line in lowest:
# if len(coords) >= num_atoms:
# break
# coords.append(line.split())
# print num_atoms, energy
# print coords
# Open and parse the topology file
topology = ra.read_topology(''.join((dirname, 'coords.prmtop')))
mol_graph = ra.create_atoms_and_residues(topology)
# We need to know the residues of interest and their dihedrals
res1 = next(residue for residue in mol_graph.residues.nodes() if residue.index == 1)
res2 = next(residue for residue in mol_graph.residues.nodes() if residue.index == 2)
res3 = next(residue for residue in mol_graph.residues.nodes() if residue.index == 3)
# Get the list of possible bonds from the amino_acids module
dihedral_bonds = {}
for res in (res1, res2, res3):
dihedral_bonds[res] = [bond[1] for bond in amino.def_parameters.keys() if bond[0] == res.name]
# print chir.chiral_order(mol_graph.atoms, dihedral_bonds[res][0][0], depth=2)
print dihedral_bonds
# Define all the dihedrals
for dihedral in unmapped_dihedrals:
# We need to convert "N-1" to the N neighbouring "C0". The others can be converted using the map.
atom_map = residue_atom_map[residue]
mapped_dihedral = [[nb for nb in nx.neighbors(residue.molecule.atoms, atom_map["C0"]) if nb.element == "N"][0]
if atom_name == "N-1" else atom_map[atom_name] for atom_name in dihedral]
mapped_dihedrals.append(mapped_dihedral)
dihedral_dict[residue] = mapped_dihedrals
return dihedral_dict
if __name__ == "__main__":
import os.path
import numpy as np
from playground.rotamer.measure_dihedral import dihedrals_with_symmetry
import cProfile
# pr = cProfile.Profile()
# pr.enable()
topology_data = amber.read_topology(os.path.normpath("/home/khs26/flu.prmtop"))
coords = np.array(amber.read_amber_coords(os.path.normpath("/home/khs26/flu.inpcrd"))).reshape((-1, 3))
molecule = amber.create_molecule(topology_data)
ress, maps = molecule.identify_residues()
dihedrals = []
for v in map_dihedrals(ress, maps).values():
for dihedral in v:
dihedrals.append(Dihedral(dihedral))
for dihe in sorted(dihedrals, key=lambda x: x.residue.index):
if dihe.residue.identity in symmetric_atoms:
print dihe.residue, dihe.atoms, dihe.residue.atoms
print "Angle:", dihe.measure_dihedral(coords) * 180.0 / np.pi
# pr.disable()
# pr.print_stats('cumulative')
