def test_same_nodes(left, right, expected):
left_mol = Molecule()
left_mol.add_nodes_from(left)
right_mol = Molecule()
right_mol.add_nodes_from(right)
assert left_mol.same_nodes(right_mol) == expected
assert right_mol.same_nodes(left_mol) == expected
def test_set_molecule_meta_molecule(prior, meta, expected):
"""
Test for :func:`SetMoleculeMeta.run_molecule` .
"""
molecule = Molecule()
molecule.meta = copy.copy(prior)
processor = SetMoleculeMeta(**meta)
processor.run_molecule(molecule)
assert not are_different(molecule.meta, expected)
def test_set_molecule_meta_system(priors, meta, expected):
"""
Test for :func:`SetMoleculeMeta.run_system` .
"""
system = System()
for prior in priors:
molecule = Molecule()
molecule.meta = copy.copy(prior)
system.add_molecule(molecule)
processor = SetMoleculeMeta(**meta)
processor.run_system(system)
for molecule, expectation in zip(system.molecules, expected):
assert not are_different(molecule.meta, expectation)
def make_cg_mol(aa_mol, mapping, bead_names, bead_types):
molname = aa_mol.graph['name']
cg_mol = Molecule(nrexcl=1, meta=dict(moltype=molname))
mapdict = defaultdict(list)
for bd_idx, at_idxs in enumerate(mapping):
name = bead_names[bd_idx]
for member in at_idxs:
mapdict[member].append(bd_idx)
subgraph = aa_mol.subgraph(at_idxs)
charge = sum(nx.get_node_attributes(subgraph, 'charge').values())
position = np.mean([
subgraph.nodes[idx].get('position', (np.nan, np.nan, np.nan))
for idx in subgraph
],
axis=0)
cg_mol.add_node(bd_idx,
atomname=name,
resname=molname,
resid=1,
atype=bead_types[bd_idx],
charge_group=bd_idx + 1,
graph=subgraph,
charge=charge,
position=position)
for aa_idx, aa_jdx in aa_mol.edges:
cg_idxs = mapdict[aa_idx]
cg_jdxs = mapdict[aa_jdx]
for cg_idx, cg_jdx in product(cg_idxs, cg_jdxs):
if cg_idx != cg_jdx:
cg_mol.add_edge(cg_idx, cg_jdx)
for idx, jdx in cg_mol.edges:
cg_mol.add_interaction('bonds', [idx, jdx], [])
return cg_mol
def test_no_residue_crossing():
"""
Make sure we don't cross residue boundaries
"""
mapping = {'C1': {'B1': 1}, 'C2': {'B1': 1}, 'C3': {'B1': 1}}
extra = ()
mappings = {'universal': {'martini22': {'IPO': Mapping(FF_UNIVERSAL.blocks['IPO'],
FF_MARTINI.blocks['IPO'],
mapping=mapping,
references={},
ff_from=FF_UNIVERSAL,
ff_to=FF_MARTINI,
names=('IPO',),
extra=extra)}}}
cg = do_mapping(AA_MOL, mappings, FF_MARTINI, attribute_keep=['chain'])
expected = Molecule(force_field=FF_MARTINI)
expected.add_nodes_from((
(0, {'resid': 1, 'resname': 'IPO', 'atomname': 'B1', 'chain': 'A', 'charge_group': 1}),
(1, {'resid': 2, 'resname': 'IPO', 'atomname': 'B1', 'chain': 'A', 'charge_group': 2}),
(2, {'resid': 3, 'resname': 'IPO', 'atomname': 'B1', 'chain': 'A', 'charge_group': 3}),
))
expected.add_edges_from(([0, 1], [1, 2]))
print(cg.nodes(data=True))
print(cg.edges())
print('-'*80)
print(expected.nodes(data=True))
print(expected.edges())
assert equal_graphs(cg, expected)
def test_same_interactions(left, right, expected):
"""
Test that Molecule.same_interactions works as expected.
"""
left_mol = Molecule()
left_mol.interactions = left
right_mol = Molecule()
right_mol.interactions = right
assert left_mol.same_interactions(right_mol) == expected
assert right_mol.same_interactions(left_mol) == expected
def test_no_residue_crossing():
"""
Make sure we don't cross residue boundaries
"""
mapping = {
(0, 'C1'): [(0, 'B1')],
(0, 'C2'): [(0, 'B1')],
(0, 'C3'): [(0, 'B1')]
}
weights = {
(0, 'B1'): {
(0, 'C1'): 1,
(0, 'C2'): 1,
(0, 'C3'): 1,
}
}
extra = ()
mappings = {'universal': {'martini22': {'IPO': (mapping, weights, extra)}}}
cg = do_mapping(AA_MOL, mappings, FF_MARTINI)
expected = Molecule(force_field=FF_MARTINI)
expected.add_nodes_from((
(0, {
'resid': 1,
'resname': 'IPO',
'atomname': 'B1',
'chain': 'A',
'charge_group': 1
}),
(1, {
'resid': 2,
'resname': 'IPO',
'atomname': 'B1',
'chain': 'A',
'charge_group': 2
}),
(2, {
'resid': 3,
'resname': 'IPO',
'atomname': 'B1',
'chain': 'A',
'charge_group': 3
}),
))
expected.add_edges_from(([0, 1], [1, 2]))
print(cg.nodes(data=True))
print(cg.edges())
print('-' * 80)
print(expected.nodes(data=True))
print(expected.edges())
assert _equal_graphs(cg, expected)
def example_mol():
mol = Molecule(force_field=ForceField(FF_UNIVERSAL_TEST))
nodes = [
{
'chain': 'A',
'resname': 'A',
'resid': 1
}, # 0, R1
{
'chain': 'A',
'resname': 'A',
'resid': 2
}, # 1, R2
{
'chain': 'A',
'resname': 'A',
'resid': 2
}, # 2, R2
{
'chain': 'A',
'resname': 'B',
'resid': 2
}, # 3, R3
{
'chain': 'B',
'resname': 'A',
'resid': 1
}, # 4, R4
{
'chain': 'B',
'resname': 'A',
'resid': 2
}, # 5, R5
{
'chain': 'B',
'resname': 'A',
'resid': 2
}, # 6, R5
{
'chain': 'B',
'resname': 'B',
'resid': 2
}, # 7, R6
{
'chain': 'A',
'resname': 'C',
'resid': 3
}, # 8, R7
]
mol.add_nodes_from(enumerate(nodes))
mol.add_edges_from([(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6), (4, 7),
(3, 8)])
return mol
def test_single_residue_mol():
mol = Molecule(force_field=ForceField(FF_UNIVERSAL_TEST))
nodes = [
{'chain': 'A', 'resname': 'A', 'resid': 2},
{'chain': 'A', 'resname': 'A', 'resid': 2},
]
mol.add_nodes_from(enumerate(nodes))
mol.add_edges_from([(0, 1)])
modification = [({'resname': 'A', 'resid': 2}, 'C-ter'),]
annotate_modifications(mol, modification, [])
assert mol.nodes[0] == {'modification': ['C-ter'], 'resname': 'A', 'resid': 2, 'chain': 'A'}
assert mol.nodes[1] == {'modification': ['C-ter'], 'resname': 'A', 'resid': 2, 'chain': 'A'}
def test_residue_crossing():
'''
Make sure we do cross residue boundaries and can rename residues
'''
mapping = {'C1': {'B1': 1}, 'C2': {'B1': 1}, 'C3': {'B1': 1},
'C4': {'B2': 1}, 'C5': {'B2': 1}, 'C6': {'B2': 1},
'C7': {'B3': 1}, 'C8': {'B3': 1}, 'C9': {'B3': 1},
}
extra = ()
mappings = {
'universal': {
'martini22': {
'IPO_large': Mapping(FF_UNIVERSAL.blocks['IPO_large'],
FF_MARTINI.blocks['IPO_large'],
mapping=mapping,
references={},
ff_from=FF_UNIVERSAL,
ff_to=FF_MARTINI,
names=('IPO', 'IPO', 'IPO'),
extra=extra)
}
}
}
cg = do_mapping(AA_MOL, mappings, FF_MARTINI, attribute_keep=('chain',))
expected = Molecule()
expected.add_nodes_from((
(0, {'resid': 1, 'resname': 'IPO_large', 'atomname': 'B1', 'chain': 'A', 'charge_group': 1}),
(1, {'resid': 2, 'resname': 'IPO_large', 'atomname': 'B1', 'chain': 'A', 'charge_group': 1}),
(2, {'resid': 3, 'resname': 'IPO_large', 'atomname': 'B1', 'chain': 'A', 'charge_group': 1}),
))
expected.add_edges_from(([0, 1], [1, 2]))
print(cg.nodes(data=True))
print(cg.edges())
print('-'*80)
print(expected.nodes(data=True))
print(expected.edges())
assert equal_graphs(cg, expected)
def modified_molecule(modifications):
"""
Provides a molecule with modifications
"""
mol = Molecule(force_field=FF_UNIVERSAL)
mol.add_nodes_from(enumerate((
# Lone PTM
{'atomname': 'A', 'resid': 1, 'modifications': [modifications['mA']]},
{'atomname': 'mA', 'resid': 1, 'PTM_atom': True, 'modifications': [modifications['mA']]},
{'atomname': 'B', 'resid': 2}, # Spacer
# Two PTMs on neighbouring residues
{'atomname': 'C', 'resid': 3, 'modifications': [modifications['mC']]},
{'atomname': 'mC', 'resid': 3, 'PTM_atom': True, 'modifications': [modifications['mC']]},
{'atomname': 'D', 'resid': 4, 'modifications': [modifications['mD']]},
{'atomname': 'mD', 'resid': 4, 'PTM_atom': True, 'modifications': [modifications['mD']]},
{'atomname': 'E', 'resid': 5}, # Spacer
# Bridging PTMs
{'atomname': 'F', 'resid': 6, 'modifications': [modifications['mFG']]},
{'atomname': 'mF', 'resid': 6, 'PTM_atom': True, 'modifications': [modifications['mFG']]},
{'atomname': 'G', 'resid': 7, 'modifications': [modifications['mFG']]},
{'atomname': 'mG', 'resid': 7, 'PTM_atom': True, 'modifications': [modifications['mFG']]},
{'atomname': 'H', 'resid': 8}, # Spacer
# Two PTMs for one residue
{'atomname': 'I', 'resid': 9, 'modifications': [modifications['mI'], modifications['mI2']]},
{'atomname': 'mI', 'resid': 9, 'PTM_atom': True, 'modifications': [modifications['mI']]},
{'atomname': 'mI2', 'resid': 9, 'PTM_atom': True, 'modifications': [modifications['mI2']]},
# Two PTMs for one residue, but a single mod mapping
{'atomname': 'J', 'resid': 10, 'modifications': [modifications['mJ'], modifications['mJ2']]},
{'atomname': 'mJ', 'resid': 10, 'PTM_atom': True, 'modifications': [modifications['mJ']]},
{'atomname': 'mJ2', 'resid': 10, 'PTM_atom': True, 'modifications': [modifications['mJ2']]}
)))
mol.add_edges_from((
(0, 1), (0, 2), # A
(2, 3), # B
(3, 4), (3, 5), # C
(5, 6), (5, 7), # D
(7, 8), # E
(8, 9), (8, 10), # F
(9, 11), # Bridge between mF and mG
(10, 11), (10, 12), # G
(12, 13), # H
(13, 14), (13, 15), (13, 16), # I
(16, 17), (16, 18) # J
))
return mol
def test_nter_cter_modifications(node_data, edge_data, expected):
"""
Tests that 'nter' and 'cter' specifications only match protein N and C
termini
"""
mol = Molecule(force_field=ForceField(FF_UNIVERSAL_TEST))
mol.add_nodes_from(enumerate(node_data))
mol.add_edges_from(edge_data)
modification = [({'resname': 'cter'}, 'C-ter'), ({'resname': 'nter'}, 'N-ter')]
annotate_modifications(mol, modification, [])
found = {}
for node_idx in mol:
node = mol.nodes[node_idx]
if 'modification' in node:
found[node['resid']] = node['modification']
assert found == expected
def test_make_bonds(nodes, edges, expected_edges):
"""
Test to make sure that make_bonds makes the bonds it is expected to, and not
too many.
nodes is a List[List[Dict]], allowing for multiple molecules
edges is a List[List[Tuple[Int, Int, Dict]]], allowing for
multiple molecules
expected_edges is a List[Dict[Tuple[Int, Int], Dict]], allowing for
multiple molecules
"""
system = System(force_field=get_native_force_field('universal'))
for node_set, edge_set in zip(nodes, edges):
mol = Molecule()
mol.add_nodes_from(enumerate(node_set))
mol.add_edges_from(edge_set)
system.add_molecule(mol)
MakeBonds().run_system(system)
# Make sure number of connected components is the same
assert len(system.molecules) == len(expected_edges)
# Make sure that for every molecule found, the edges are correct
for found_mol, ref_edges in zip(system.molecules, expected_edges):
assert dict(found_mol.edges) == ref_edges
def test_apply_mod_mapping(modified_molecule, modifications):
"""
Test apply_mod_mapping
"""
graph_out = Molecule(force_field=FF_UNIVERSAL)
graph_out.add_nodes_from([
(0, {'atomname': 'A', 'resid': 1})
])
mol_to_out = {0: {0: 1}}
out_to_mol = {0: {0: 1}}
match = ({1: {'mA': 1}}, modifications['mA'], {})
out = apply_mod_mapping(match, modified_molecule, graph_out, mol_to_out, out_to_mol)
print(mol_to_out)
print(out_to_mol)
print(graph_out.nodes[1])
print(modifications['mA'].nodes['mA'])
for key in modifications['mA'].nodes['mA']:
assert graph_out.nodes[1][key] == modifications['mA'].nodes['mA'][key]
assert out == ({}, {})
assert mol_to_out == {0: {0: 1}, 1: {1: 1}}
assert out_to_mol == {0: {0: 1}, 1: {1: 1}}
graph_out.add_node(2, atomname='J', resid=2)
mol_to_out[16] = {2: 1}
out_to_mol[2] = {16: 1}
out = apply_mod_mapping((
{16: {'J': 1}, 17: {'mJ': 1}, 18: {'mJ2': 1}},
modifications['mJ', 'mJ2'], {}
), modified_molecule, graph_out, mol_to_out, out_to_mol)
print(mol_to_out)
print(out_to_mol)
assert out == ({}, {})
assert mol_to_out == {0: {0: 1}, 1: {1: 1}, 16: {2: 1}, 17: {3: 1}, 18: {4: 1}}
assert out_to_mol == {0: {0: 1}, 1: {1: 1}, 2: {16: 1}, 3: {17: 1}, 4: {18: 1}}
def charged_molecule(force_field):
"""
A molecule with charged termini.
"""
nodes = [(1, {
'charge_group': 1,
'resid': 1,
'resname': 'ALA',
'atomname': 'BB',
'charge': 1,
'atype': 'Qd',
'modification': force_field.modifications['N-ter'],
'mapping_weights': {
0: 1,
5: 1,
1: 1,
4: 1.0,
2: 1,
3: 1,
6: 1,
7: 1
},
'chain': 'A',
'position': [0.12170435, 0.06658551, -0.0208]
}),
(2, {
'charge_group': 2,
'resid': 2,
'resname': 'ALA',
'atomname': 'BB',
'charge': 0.0,
'atype': 'P4',
'mapping_weights': {
12: 1.0,
17: 1.0,
13: 1.0,
16: 1.0,
14: 1.0,
15: 1.0
},
'chain': 'A',
'position': [0.45269104, 0.23552239, 0.0214209]
}),
(3, {
'charge_group': 3,
'resid': 3,
'resname': 'ALA',
'atomname': 'BB',
'charge': 0.0,
'atype': 'P4',
'mapping_weights': {
22: 1.0,
27: 1.0,
23: 1.0,
26: 1.0,
24: 1.0,
25: 1.0
},
'chain': 'A',
'position': [0.74704179, 0.45218955, -0.0214209]
}),
(4, {
'charge_group': 4,
'resid': 4,
'resname': 'ALA',
'atomname': 'BB',
'charge': 0.0,
'atype': 'P4',
'mapping_weights': {
32: 1.0,
37: 1.0,
33: 1.0,
36: 1.0,
34: 1.0,
35: 1.0
},
'chain': 'A',
'position': [1.07289104, 0.61778657, 0.0214209]
}),
(5, {
'charge_group': 5,
'resid': 5,
'resname': 'ALA',
'atomname': 'BB',
'charge': -1,
'atype': 'Qa',
'modification': force_field.modifications['C-ter'],
'mapping_weights': {
42: 1.0,
48: 1.0,
43: 1,
47: 1.0,
44: 1,
45: 1,
46: 1
},
'chain': 'A',
'position': [1.40449639, 0.85126265, -0.01729157]
})]
mol = Molecule()
mol.add_nodes_from(nodes)
mol.add_edges_from([(1, 2), (2, 3), (3, 4), (4, 5)])
return mol
def test_peptide():
"""
Test multiple cg beads in residue
"""
gly = {'C': {'BB': 1}, 'N': {'BB': 1}, 'O': {'BB': 1}, 'CA': {'BB': 1}}
ile = {'C': {'BB': 1}, 'N': {'BB': 1}, 'O': {'BB': 1}, 'CA': {'BB': 1},
'CB': {'SC1': 1}, 'CG1': {'SC1': 1}, 'CG2': {'SC1': 1}, 'CD': {'SC1': 1}}
leu = {'C': {'BB': 1}, 'N': {'BB': 1}, 'O': {'BB': 1}, 'CA': {'BB': 1},
'CB': {'SC1': 1}, 'CG': {'SC1': 1}, 'CD1': {'SC1': 1}, 'CD2': {'SC1': 1}}
extra = ()
mappings = {'universal': {'martini22': {}}}
mappings['universal']['martini22']['GLY'] = Mapping(FF_UNIVERSAL.blocks['GLY'],
FF_MARTINI.blocks['GLY'],
mapping=gly,
references={},
ff_from=FF_UNIVERSAL,
ff_to=FF_MARTINI,
names=('GLY',),
extra=extra)
mappings['universal']['martini22']['ILE'] = Mapping(FF_UNIVERSAL.blocks['ILE'],
FF_MARTINI.blocks['ILE'],
mapping=ile,
references={},
ff_from=FF_UNIVERSAL,
ff_to=FF_MARTINI,
names=('ILE',),
extra=extra)
mappings['universal']['martini22']['LEU'] = Mapping(FF_UNIVERSAL.blocks['LEU'],
FF_MARTINI.blocks['LEU'],
mapping=leu,
references={},
ff_from=FF_UNIVERSAL,
ff_to=FF_MARTINI,
names=('LEU',),
extra=extra)
peptide = Molecule(force_field=FF_UNIVERSAL)
aa = FF_UNIVERSAL.blocks['GLY'].to_molecule()
peptide.merge_molecule(aa)
aa = FF_UNIVERSAL.blocks['ILE'].to_molecule()
peptide.merge_molecule(aa)
aa = FF_UNIVERSAL.blocks['LEU'].to_molecule()
peptide.merge_molecule(aa)
peptide.add_edge(list(peptide.find_atoms(atomname='N', resid=1))[0],
list(peptide.find_atoms(atomname='C', resid=2))[0])
peptide.add_edge(list(peptide.find_atoms(atomname='N', resid=2))[0],
list(peptide.find_atoms(atomname='C', resid=3))[0])
for node in peptide:
peptide.nodes[node]['atomid'] = node + 1
peptide.nodes[node]['chain'] = ''
cg = do_mapping(peptide, mappings, FF_MARTINI, attribute_keep=('chain',))
expected = Molecule(force_field=FF_MARTINI)
expected.add_nodes_from({1: {'atomname': 'BB',
'atype': 'P5',
'chain': '',
'charge': 0.0,
'charge_group': 1,
'resid': 1,
'resname': 'GLY'},
2: {'atomname': 'BB',
'atype': 'P5',
'chain': '',
'charge': 0.0,
'charge_group': 2,
'resid': 2,
'resname': 'ILE'},
3: {'atomname': 'SC1',
'atype': 'AC1',
'chain': '',
'charge': 0.0,
'charge_group': 3,
'resid': 2,
'resname': 'ILE'},
4: {'atomname': 'BB',
'atype': 'P5',
'chain': '',
'charge': 0.0,
'charge_group': 4,
'resid': 3,
'resname': 'LEU'},
5: {'atomname': 'SC1',
'atype': 'AC1',
'chain': '',
'charge': 0.0,
'charge_group': 5,
'resid': 3,
'resname': 'LEU'}}.items()
)
expected.add_edges_from([(1, 2), (2, 3), (2, 4), (4, 5)])
for node in expected:
expected.nodes[node]['atomid'] = node + 1
print(cg.nodes(data=True))
print(cg.edges())
print('-'*80)
print(expected.nodes(data=True))
print(expected.edges())
assert equal_graphs(cg, expected)
import pytest
from vermouth.processors.do_mapping import do_mapping, cover, modification_matches, apply_mod_mapping
import vermouth.forcefield
from vermouth.molecule import Molecule, Block, Link, Interaction
from vermouth.map_parser import Mapping
from vermouth.tests.helper_functions import equal_graphs
# Pylint does *not* like pytest fixtures
# pylint: disable=redefined-outer-name
FF_MARTINI = vermouth.forcefield.get_native_force_field(name='martini22')
FF_UNIVERSAL = vermouth.forcefield.get_native_force_field(name='universal')
AA_MOL = Molecule(force_field=FF_UNIVERSAL)
AA_MOL.add_nodes_from((
(0, {'resid': 1, 'resname': 'IPO', 'atomname': 'C1', 'chain': 'A', 'element': 'C'}),
(1, {'resid': 1, 'resname': 'IPO', 'atomname': 'C2', 'chain': 'A', 'element': 'C'}),
(2, {'resid': 1, 'resname': 'IPO', 'atomname': 'C3', 'chain': 'A', 'element': 'C'}),
(3, {'resid': 2, 'resname': 'IPO', 'atomname': 'C1', 'chain': 'A', 'element': 'C'}),
(4, {'resid': 2, 'resname': 'IPO', 'atomname': 'C2', 'chain': 'A', 'element': 'C'}),
(5, {'resid': 2, 'resname': 'IPO', 'atomname': 'C3', 'chain': 'A', 'element': 'C'}),
(6, {'resid': 3, 'resname': 'IPO', 'atomname': 'C1', 'chain': 'A', 'element': 'C'}),
(7, {'resid': 3, 'resname': 'IPO', 'atomname': 'C2', 'chain': 'A', 'element': 'C'}),
(8, {'resid': 3, 'resname': 'IPO', 'atomname': 'C3', 'chain': 'A', 'element': 'C'}),
))
AA_MOL.add_edges_from([(0, 1), (1, 2), (1, 3), (3, 4), (4, 5), (4, 6), (6, 7), (7, 8)])
block_aa = Block(force_field=FF_UNIVERSAL)
block_aa.name = 'IPO'
block_aa.add_nodes_from((
def make_mol(mol_nodes, mol_edges=[], **kwargs):
mol = Molecule(**kwargs)
mol.add_nodes_from(mol_nodes)
mol.add_edges_from(mol_edges)
return mol
def test_pre_post_section_lines(pre_meta, post_meta):
"""
:func:`vermouth.gmx.itp.write_molecule_itp` writes pre and post section lines.
If `pre_meta` or `post_meta` is `True`, then "pre_section_lines" or
"post_section_lines", respectively, is read from `molecule.meta`, otherwise
it is passed as an argument.
"""
molecule = Molecule(nrexcl=1)
molecule.add_nodes_from((
(0, {
'atype': 'Q5',
'resid': 1,
'resname': 'VAL',
'atomname': 'BB',
'charge_group': 1,
'charge': 1,
}),
(1, {
'atype': 'Q5',
'resid': 1,
'resname': 'VAL',
'atomname': 'BB',
'charge_group': 1,
'charge': 1,
}),
(2, {
'atype': 'Q5',
'resid': 1,
'resname': 'VAL',
'atomname': 'BB',
'charge_group': 1,
'charge': 1,
}),
))
# The molecule has 6 interaction sections. The sections are names
# "interaction_<joint>_<part>", where <joint> can be "with" or "only", and
# <part> can be "pre", "post", or "pre_post". The <part> indicates what
# pre_section_lines and post_section_lines are defined for the section.
# When <joint> in "with", then the section contains 2 interactions in
# addition to the pre- and post- lines. When <joint> is "only", then the
# section only has the pre/post lines defined, and no interactions.
parts = ('pre', 'post', 'pre_post')
molecule.interactions = {}
for part in parts:
name = 'interaction_with_{}'.format(part)
molecule.interactions[name] = [
Interaction(atoms=[0, 1], parameters=[name], meta={}),
Interaction(atoms=[1, 2], parameters=[name], meta={}),
]
pre_section_lines = {
'atoms': ['test_atoms_0', 'test_atoms_1'],
'interaction_with_pre': ['test_pre_0', 'test_pre_1', 'test_pre_2'],
'interaction_with_pre_post': ['test_pre_post_0'],
'interaction_only_pre': ['test_pre_only_0', 'test_pre_only_1'],
'interaction_only_pre_post':
['test_prepost_only_0', 'test_prepost_only_1'],
}
post_section_lines = {
'atoms': ['after_atoms_0'],
'interaction_with_post': ['after_post_0', 'after_post_1'],
'interaction_with_pre_post': ['after_pre_post_0'],
'interaction_only_post': ['after_post_only_0', 'after_post_only_1'],
'interaction_only_pre_post': ['after_prepost_only_0'],
}
expected_segments = [
"""
[ atoms ]
test_atoms_0
test_atoms_1
1 Q5 1 VAL BB 1 1
2 Q5 1 VAL BB 1 1
3 Q5 1 VAL BB 1 1
after_atoms_0
""",
"""
[ interaction_with_pre ]
test_pre_0
test_pre_1
test_pre_2
1 2 interaction_with_pre
2 3 interaction_with_pre
""",
"""
[ interaction_with_post ]
1 2 interaction_with_post
2 3 interaction_with_post
""",
"""
[ interaction_with_pre_post ]
test_pre_post_0
1 2 interaction_with_pre_post
2 3 interaction_with_pre_post
after_pre_post_0
""",
"""
[ interaction_only_pre ]
test_pre_only_0
test_pre_only_1
""",
"""
[ interaction_only_post ]
after_post_only_0
after_post_only_1
""",
"""
[ interaction_only_pre_post ]
test_prepost_only_0
test_prepost_only_1
after_prepost_only_0
""",
]
if post_meta:
arg_post = post_section_lines
molecule.meta['post_section_lines'] = 'invalid'
else:
arg_post = None
molecule.meta['post_section_lines'] = post_section_lines
if pre_meta:
arg_pre = pre_section_lines
molecule.meta['pre_section_lines'] = 'invalid'
else:
arg_pre = None
molecule.meta['pre_section_lines'] = pre_section_lines
outfile = io.StringIO()
write_molecule_itp(molecule,
outfile,
moltype='test',
post_section_lines=arg_post,
pre_section_lines=arg_pre)
itp_content = outfile.getvalue()
# This could be a assert all(...), but it makes it more difficult to
# understant what is happening in case of a failure.
for segment in expected_segments:
assert textwrap.dedent(segment)[:-1] in itp_content
def dummy_system():
"""
Build a system with 3 dummy molecules.
All nodes have the following attributes:
* `atomname`
* `resname`
* `resid`
* `chain` set to `''`
* `element` set to the value of `atomname`
* `positions`
Some nodes have a `charge` attribute set to an integer charge. The
molecules are connected.
"""
nodes = (
{
'atomname': 'A',
'resname': 'A',
'resid': 1,
},
{
'atomname': 'B',
'resname': 'A',
'resid': 1,
'charge': -1
},
{
'atomname': 'C',
'resname': 'A',
'resid': 2,
'charge': 1
},
{
'atomname': 'D',
'resname': 'A',
'resid': 3,
},
{
'atomname': 'E',
'resname': 'A',
'resid': 4,
},
{
'atomname': 'F',
'resname': 'B',
'resid': 4,
},
{
'atomname': 'G',
'resname': 'B',
'resid': 4,
},
{
'atomname': 'H',
'resname': 'B',
'resid': 4,
},
)
edges = [(0, 1), (2, 3), (4, 5), (5, 6), (5, 7)]
graph = nx.Graph()
for idx, node in enumerate(nodes):
node['chain'] = ''
node['element'] = node['atomname']
node['position'] = np.array([1, 2, -3])
graph.add_node(idx, **node)
graph.add_edges_from(edges)
molecules = [
Molecule(graph.subgraph(component))
for component in nx.connected_components(graph)
]
system = vermouth.system.System()
system.molecules = molecules
return system
def test_peptide():
"""
Test multiple cg beads in residue
"""
gly = {
(0, 'C'): [(0, 'BB')],
(0, 'N'): [(0, 'BB')],
(0, 'O'): [(0, 'BB')],
(0, 'CA'): [(0, 'BB')]
}
ile = {
(0, 'C'): [(0, 'BB')],
(0, 'N'): [(0, 'BB')],
(0, 'O'): [(0, 'BB')],
(0, 'CA'): [(0, 'BB')],
(0, 'CB'): [(0, 'SC1')],
(0, 'CG1'): [(0, 'SC1')],
(0, 'CG2'): [(0, 'SC1')],
(0, 'CD'): [(0, 'SC1')]
}
leu = {
(0, 'C'): [(0, 'BB')],
(0, 'N'): [(0, 'BB')],
(0, 'O'): [(0, 'BB')],
(0, 'CA'): [(0, 'BB')],
(0, 'CB'): [(0, 'SC1')],
(0, 'CG1'): [(0, 'SC1')],
(0, 'CD1'): [(0, 'SC1')],
(0, 'CD2'): [(0, 'SC1')]
}
extra = ()
mappings = {
'universal': {
'martini22': {
'GLY': (gly, _map_weights(gly), extra),
'ILE': (ile, _map_weights(ile), extra),
'LEU': (leu, _map_weights(leu), extra),
}
}
}
peptide = Molecule(force_field=FF_UNIVERSAL)
aa = FF_UNIVERSAL.blocks['GLY'].to_molecule()
peptide.merge_molecule(aa)
aa = FF_UNIVERSAL.blocks['ILE'].to_molecule()
peptide.merge_molecule(aa)
aa = FF_UNIVERSAL.blocks['LEU'].to_molecule()
peptide.merge_molecule(aa)
peptide.add_edge(
list(peptide.find_atoms(atomname='N', resid=1))[0],
list(peptide.find_atoms(atomname='C', resid=2))[0])
peptide.add_edge(
list(peptide.find_atoms(atomname='N', resid=2))[0],
list(peptide.find_atoms(atomname='C', resid=3))[0])
for node in peptide:
peptide.nodes[node]['atomid'] = node + 1
peptide.nodes[node]['chain'] = ''
cg = do_mapping(peptide, mappings, FF_MARTINI)
expected = Molecule(force_field=FF_MARTINI)
expected.add_nodes_from({
1: {
'atomname': 'BB',
'atype': 'P5',
'chain': '',
'charge': 0.0,
'charge_group': 1,
'resid': 1,
'resname': 'GLY'
},
2: {
'atomname': 'BB',
'atype': 'P5',
'chain': '',
'charge': 0.0,
'charge_group': 2,
'resid': 2,
'resname': 'ILE'
},
3: {
'atomname': 'SC1',
'atype': 'AC1',
'chain': '',
'charge': 0.0,
'charge_group': 2,
'resid': 2,
'resname': 'ILE'
},
4: {
'atomname': 'BB',
'atype': 'P5',
'chain': '',
'charge': 0.0,
'charge_group': 3,
'resid': 3,
'resname': 'LEU'
},
5: {
'atomname': 'SC1',
'atype': 'AC1',
'chain': '',
'charge': 0.0,
'charge_group': 3,
'resid': 3,
'resname': 'LEU'
}
}.items())
expected.add_edges_from([(1, 2), (2, 3), (2, 4), (4, 5)])
for node in expected:
expected.nodes[node]['atomid'] = node + 1
assert _equal_graphs(cg, expected)
def build_ref_molecule(velocities=False):
"""
Build the molecule graph corresponding to the reference data.
Parameters
----------
velocities: bool
Set if velocities must be written.
Return
------
Molecule
"""
nodes = (
{
'resid': 1,
'resname': 'ALA',
'atomname': 'N',
'atomid': 1,
'element': 'N'
},
{
'resid': 1,
'resname': 'ALA',
'atomname': 'CA',
'atomid': 2,
'element': 'C'
},
{
'resid': 1,
'resname': 'ALA',
'atomname': 'C',
'atomid': 3,
'element': 'C'
},
{
'resid': 1,
'resname': 'ALA',
'atomname': 'O',
'atomid': 4,
'element': 'O'
},
{
'resid': 1,
'resname': 'ALA',
'atomname': 'CB',
'atomid': 5,
'element': 'C'
},
{
'resid': 1,
'resname': 'ALA',
'atomname': 'H',
'atomid': 6,
'element': 'H'
},
{
'resid': 1,
'resname': 'ALA',
'atomname': 'HA',
'atomid': 7,
'element': 'H'
},
{
'resid': 1,
'resname': 'ALA',
'atomname': 'HB1',
'atomid': 8,
'element': 'H'
},
{
'resid': 1,
'resname': 'ALA',
'atomname': 'HB2',
'atomid': 9,
'element': 'H'
},
{
'resid': 1,
'resname': 'ALA',
'atomname': 'HB3',
'atomid': 10,
'element': 'H'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'N',
'atomid': 11,
'element': 'N'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'CA',
'atomid': 12,
'element': 'C'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'C',
'atomid': 13,
'element': 'C'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'O',
'atomid': 14,
'element': 'O'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'CB',
'atomid': 15,
'element': 'C'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'CG1',
'atomid': 16,
'element': 'C'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'CG2',
'atomid': 17,
'element': 'C'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'H',
'atomid': 18,
'element': 'H'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'HA',
'atomid': 19,
'element': 'H'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'HB',
'atomid': 20,
'element': 'H'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'HG11',
'atomid': 21,
'element': 'H'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'HG12',
'atomid': 22,
'element': 'H'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'HG13',
'atomid': 23,
'element': 'H'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'HG21',
'atomid': 24,
'element': 'H'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'HG22',
'atomid': 25,
'element': 'H'
},
{
'resid': 2,
'resname': 'VAL',
'atomname': 'HG23',
'atomid': 26,
'element': 'H'
},
{
'resid': 3,
'resname': 'SOL',
'atomname': 'OW',
'atomid': 27,
'element': 'O'
},
{
'resid': 3,
'resname': 'SOL',
'atomname': 'HW1',
'atomid': 28,
'element': 'H'
},
{
'resid': 3,
'resname': 'SOL',
'atomname': 'HW2',
'atomid': 29,
'element': 'H'
},
{
'resid': 4,
'resname': 'SOL',
'atomname': 'OW',
'atomid': 30,
'element': 'O'
},
{
'resid': 4,
'resname': 'SOL',
'atomname': 'HW1',
'atomid': 31,
'element': 'H'
},
{
'resid': 4,
'resname': 'SOL',
'atomname': 'HW2',
'atomid': 32,
'element': 'H'
},
{
'resid': 5,
'resname': 'SOL',
'atomname': 'OW',
'atomid': 33,
'element': 'O'
},
{
'resid': 5,
'resname': 'SOL',
'atomname': 'HW1',
'atomid': 34,
'element': 'H'
},
{
'resid': 5,
'resname': 'SOL',
'atomname': 'HW2',
'atomid': 35,
'element': 'H'
},
{
'resid': 6,
'resname': 'SOL',
'atomname': 'OW',
'atomid': 36,
'element': 'O'
},
{
'resid': 6,
'resname': 'SOL',
'atomname': 'HW1',
'atomid': 37,
'element': 'H'
},
{
'resid': 6,
'resname': 'SOL',
'atomname': 'HW2',
'atomid': 38,
'element': 'H'
},
{
'resid': 7,
'resname': 'SOL',
'atomname': 'OW',
'atomid': 39,
'element': 'O'
},
{
'resid': 7,
'resname': 'SOL',
'atomname': 'HW1',
'atomid': 40,
'element': 'H'
},
{
'resid': 7,
'resname': 'SOL',
'atomname': 'HW2',
'atomid': 41,
'element': 'H'
},
{
'resid': 8,
'resname': 'SOL',
'atomname': 'OW',
'atomid': 42,
'element': 'O'
},
{
'resid': 8,
'resname': 'SOL',
'atomname': 'HW1',
'atomid': 43,
'element': 'H'
},
{
'resid': 8,
'resname': 'SOL',
'atomname': 'HW2',
'atomid': 44,
'element': 'H'
},
)
for node, coords, vels in zip(nodes, COORDINATES, VELOCITIES):
node['chain'] = ''
node['position'] = np.array(coords)
if velocities:
node['velocity'] = np.array(vels)
molecule = Molecule()
molecule.add_nodes_from(enumerate(nodes))
return molecule
