Steric clash detection

examples/relative_free_energy.py

@@ -6,8 +6,9 @@
 
 from timemachine.constants import DEFAULT_FF
 from timemachine.fe import atom_mapping, pdb_writer
-from timemachine.fe.rbfe import HostConfig, estimate_relative_free_energy, plot_atom_mapping_grid
+from timemachine.fe.rbfe import HostConfig, estimate_relative_free_energy
 from timemachine.fe.single_topology import AtomMapMixin
+from timemachine.fe.utils import plot_atom_mapping_grid
 from timemachine.ff import Forcefield
 from timemachine.md import builders
 from timemachine.testsystems.relative import get_hif2a_ligand_pair_single_topology

tests/test_fe_utils.py

@@ -3,8 +3,10 @@
 from rdkit import Chem
 from rdkit.Chem import AllChem
 
-from timemachine.fe import utils
+from timemachine.constants import DEFAULT_FF
+from timemachine.fe import model_utils, utils
 from timemachine.fe.model_utils import image_molecule
+from timemachine.ff import Forcefield
 
 pytestmark = [pytest.mark.nogpu]
 
@@ -115,3 +117,17 @@ def test_experimental_conversions_to_kj():
     )
 
     np.testing.assert_allclose(utils.convert_uM_to_kJ_per_mole(0.15), -38.951164)
+
+
+def test_get_clashing_atoms():
+    ff = Forcefield.load_from_file(DEFAULT_FF)
+    np.random.seed(2022)
+    mol = Chem.AddHs(Chem.MolFromSmiles("c1ccccc1"))
+    AllChem.EmbedMolecule(mol)
+    assert model_utils.get_clashing_atoms(mol, ff) == []
+
+    # force a clash
+    x0 = utils.get_romol_conf(mol)
+    x0[0, :] = x0[1, :] + 0.05
+    utils.set_romol_conf(mol, x0)
+    assert model_utils.get_clashing_atoms(mol, ff) == [0, 5, 6]

tests/test_interpolate_fe.py

@@ -8,7 +8,7 @@
 from rdkit import Chem
 
 from timemachine.constants import BOLTZ
-from timemachine.fe import pdb_writer, single_topology, utils
+from timemachine.fe import atom_mapping, pdb_writer, single_topology, utils
 from timemachine.fe.system import simulate_system
 from timemachine.fe.utils import get_romol_conf
 from timemachine.ff import Forcefield
@@ -27,40 +27,12 @@ def test_hif2a_free_energy_estimates():
     mol_a = all_mols[1]
     mol_b = all_mols[4]
 
-    core = np.array(
-        [
-            [0, 0],
-            [2, 2],
-            [1, 1],
-            [6, 6],
-            [5, 5],
-            [4, 4],
-            [3, 3],
-            [15, 16],
-            [16, 17],
-            [17, 18],
-            [18, 19],
-            [19, 20],
-            [20, 21],
-            [32, 30],
-            [26, 25],
-            [27, 26],
-            [7, 7],
-            [8, 8],
-            [9, 9],
-            [10, 10],
-            [29, 11],
-            [11, 12],
-            [12, 13],
-            [14, 15],
-            [31, 29],
-            [13, 14],
-            [23, 24],
-            [30, 28],
-            [28, 27],
-            [21, 22],
-        ]
-    )
+    core_smarts = atom_mapping.mcs(mol_a, mol_b).smartsString
+    query_mol = Chem.MolFromSmarts(core_smarts)
+    core = atom_mapping.get_core_by_mcs(mol_a, mol_b, query_mol)
+    svg = utils.plot_atom_mapping_grid(mol_a, mol_b, core_smarts, core)
+    with open("atom_mapping.svg", "w") as fh:
+        fh.write(svg)
 
     st = single_topology.SingleTopology(mol_a, mol_b, core, forcefield)
 
@@ -77,10 +49,6 @@ def test_hif2a_free_energy_estimates():
     kT = BOLTZ * 300.0
     beta = 1 / kT
 
-    svg = utils.plot_atom_mapping_grid(mol_a, mol_b, core)
-    with open("atom_mapping.svg", "w") as fh:
-        fh.write(svg)
-
     for lambda_idx, U_fn in enumerate(U_fns):
         # print("lambda", lambda_schedule[lambda_idx], "U", U_fn(x0))
         # continue

timemachine/fe/model_utils.py

@@ -1,14 +1,58 @@
 import tempfile
+from typing import List, Optional
 
+import jax
 import numpy as np
 from rdkit import Chem
 from simtk.openmm import app
 
+from timemachine.fe.topology import BaseTopology
+from timemachine.fe.utils import get_romol_conf
+from timemachine.ff import Forcefield
 
-def assert_mol_has_all_hydrogens(mol: Chem.Mol):
+
+def mol_has_all_hydrogens(mol: Chem.Mol) -> bool:
     atoms = mol.GetNumAtoms()
     mol_copy = Chem.AddHs(mol)
-    assert atoms == mol_copy.GetNumAtoms(), "Hydrogens missing for mol"
+    return atoms == mol_copy.GetNumAtoms()
+
+
+def assert_mol_has_all_hydrogens(mol: Chem.Mol):
+    assert mol_has_all_hydrogens(mol), "Hydrogens missing for mol"
+
+
+def get_vacuum_val_and_grad_fn(mol: Chem.Mol, ff: Forcefield):
+    """
+    Return a function which returns the potential energy and frcs
+    at the given coordinates for the molecule in vacuum.
+    """
+    top = BaseTopology(mol, ff)
+    vacuum_system = top.setup_end_state()
+    U = vacuum_system.get_U_fn()
+
+    grad_fn = jax.jit(jax.grad(U, argnums=(0)))
+
+    def val_and_grad_fn(x):
+        return U(x), grad_fn(x)
+
+    return val_and_grad_fn
+
+
+def get_clashing_atoms(mol: Chem.Mol, ff: Forcefield, max_force: Optional[float] = 50000) -> List[float]:
+    """
+    Return a list of atom indices that are clashing based on the max_force.
+
+    Parameters
+    ----------
+    max_force:
+        If the magnitude of the force on atom i is greater than max force,
+        consider this a clash.
+    """
+    x0 = get_romol_conf(mol)
+    val_and_grad_fn = get_vacuum_val_and_grad_fn(mol, ff)
+    _, frcs = val_and_grad_fn(x0)
+    frcs = np.linalg.norm(frcs, axis=1)
+    return [int(x) for x in np.arange(x0.shape[0])[frcs > max_force]]
 
 
 def apply_hmr(masses, bond_list, multiplier=2):

timemachine/fe/rbfe.py

@@ -8,8 +8,6 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import pymbar
-from rdkit import Chem
-from rdkit.Chem import AllChem, Draw
 from scipy.spatial.distance import cdist
 
 from timemachine.constants import BOLTZ, DEFAULT_TEMP
@@ -26,46 +24,6 @@
 from timemachine.md.barostat.utils import get_bond_list, get_group_indices
 
 
-def plot_atom_mapping_grid(mol_a, mol_b, core_smarts, core, show_idxs=False):
-    mol_a_2d = Chem.Mol(mol_a)
-    mol_b_2d = Chem.Mol(mol_b)
-    mol_q_2d = Chem.MolFromSmarts(core_smarts)
-
-    AllChem.Compute2DCoords(mol_q_2d)
-
-    q_to_a = [[int(x[0]), int(x[1])] for x in enumerate(core[:, 0])]
-    q_to_b = [[int(x[0]), int(x[1])] for x in enumerate(core[:, 1])]
-
-    AllChem.GenerateDepictionMatching2DStructure(mol_a_2d, mol_q_2d, atomMap=q_to_a)
-    AllChem.GenerateDepictionMatching2DStructure(mol_b_2d, mol_q_2d, atomMap=q_to_b)
-
-    atom_colors_a = {}
-    atom_colors_b = {}
-    atom_colors_q = {}
-    for c_idx, ((a_idx, b_idx), rgb) in enumerate(zip(core, np.random.random((len(core), 3)))):
-        atom_colors_a[int(a_idx)] = tuple(rgb.tolist())
-        atom_colors_b[int(b_idx)] = tuple(rgb.tolist())
-        atom_colors_q[int(c_idx)] = tuple(rgb.tolist())
-
-    if show_idxs:
-        for atom in mol_a_2d.GetAtoms():
-            atom.SetProp("molAtomMapNumber", str(atom.GetIdx()))
-        for atom in mol_b_2d.GetAtoms():
-            atom.SetProp("molAtomMapNumber", str(atom.GetIdx()))
-        for atom in mol_q_2d.GetAtoms():
-            atom.SetProp("molAtomMapNumber", str(atom.GetIdx()))
-
-    return Draw.MolsToGridImage(
-        [mol_q_2d, mol_a_2d, mol_b_2d],
-        molsPerRow=3,
-        highlightAtomLists=[list(range(mol_q_2d.GetNumAtoms())), core[:, 0].tolist(), core[:, 1].tolist()],
-        highlightAtomColors=[atom_colors_q, atom_colors_a, atom_colors_b],
-        subImgSize=(300, 300),
-        legends=["core", get_mol_name(mol_a), get_mol_name(mol_b)],
-        useSVG=True,
-    )
-
-
 def get_batch_U_fns(bps, lamb):
     # return a function that takes in coords, boxes, lambda
     all_U_fns = []

timemachine/fe/utils.py

@@ -1,3 +1,5 @@
+from typing import List, Optional
+
 import numpy as np
 import simtk.unit
 from numpy.typing import NDArray
@@ -74,6 +76,31 @@ def draw_mol(mol, highlightAtoms, highlightColors):
     # display(SVG(svg))
 
 
+def draw_mol_idx(mol, highlight: Optional[List[int]] = None, scale_factor=None):
+    """
+    Draw mol with atom indices labeled.
+
+    Pararmeters
+    -----------
+    highlight: List of int or None
+        If specified, highlight the given atom idxs.
+    """
+    mol2d = Chem.Mol(mol)
+    AllChem.Compute2DCoords(mol2d)
+    if scale_factor:
+        AllChem.NormalizeDepiction(mol2d, scaleFactor=scale_factor)
+    for atom in mol2d.GetAtoms():
+        atom.SetProp("molAtomMapNumber", str(atom.GetIdx()))
+    return Draw.MolsToGridImage(
+        [mol2d],
+        molsPerRow=1,
+        highlightAtomLists=[highlight] if highlight is not None else None,
+        subImgSize=(500, 500),
+        legends=[get_mol_name(mol2d)],
+        useSVG=True,
+    )
+
+
 def get_atom_map_colors(core, seed=2022):
     rng = np.random.default_rng(seed)
 
@@ -96,28 +123,42 @@ def plot_atom_mapping(mol_a, mol_b, core, seed=2022):
     draw_mol(mol_b, core[:, 1].tolist(), atom_colors_b)
 
 
-def plot_atom_mapping_grid(mol_a, mol_b, core, show_idxs=False, seed=2022):
+def plot_atom_mapping_grid(mol_a, mol_b, core_smarts, core, show_idxs=False):
     mol_a_2d = Chem.Mol(mol_a)
     mol_b_2d = Chem.Mol(mol_b)
+    mol_q_2d = Chem.MolFromSmarts(core_smarts)
+
+    AllChem.Compute2DCoords(mol_q_2d)
 
-    AllChem.Compute2DCoords(mol_a_2d)
-    AllChem.GenerateDepictionMatching2DStructure(mol_b_2d, mol_a_2d, atomMap=core.tolist())
+    q_to_a = [[int(x[0]), int(x[1])] for x in enumerate(core[:, 0])]
+    q_to_b = [[int(x[0]), int(x[1])] for x in enumerate(core[:, 1])]
 
-    atom_colors_a, atom_colors_b = get_atom_map_colors(core, seed=seed)
+    AllChem.GenerateDepictionMatching2DStructure(mol_a_2d, mol_q_2d, atomMap=q_to_a)
+    AllChem.GenerateDepictionMatching2DStructure(mol_b_2d, mol_q_2d, atomMap=q_to_b)
+
+    atom_colors_a = {}
+    atom_colors_b = {}
+    atom_colors_q = {}
+    for c_idx, ((a_idx, b_idx), rgb) in enumerate(zip(core, np.random.random((len(core), 3)))):
+        atom_colors_a[int(a_idx)] = tuple(rgb.tolist())
+        atom_colors_b[int(b_idx)] = tuple(rgb.tolist())
+        atom_colors_q[int(c_idx)] = tuple(rgb.tolist())
 
     if show_idxs:
         for atom in mol_a_2d.GetAtoms():
             atom.SetProp("molAtomMapNumber", str(atom.GetIdx()))
         for atom in mol_b_2d.GetAtoms():
             atom.SetProp("molAtomMapNumber", str(atom.GetIdx()))
+        for atom in mol_q_2d.GetAtoms():
+            atom.SetProp("molAtomMapNumber", str(atom.GetIdx()))
 
     return Draw.MolsToGridImage(
-        [mol_a_2d, mol_b_2d],
-        molsPerRow=2,
-        highlightAtomLists=[core[:, 0].tolist(), core[:, 1].tolist()],
-        highlightAtomColors=[atom_colors_a, atom_colors_b],
-        subImgSize=(400, 400),
-        legends=[mol_a.GetProp("_Name"), mol_b.GetProp("_Name")],
+        [mol_q_2d, mol_a_2d, mol_b_2d],
+        molsPerRow=3,
+        highlightAtomLists=[list(range(mol_q_2d.GetNumAtoms())), core[:, 0].tolist(), core[:, 1].tolist()],
+        highlightAtomColors=[atom_colors_q, atom_colors_a, atom_colors_b],
+        subImgSize=(300, 300),
+        legends=["core", get_mol_name(mol_a), get_mol_name(mol_b)],
         useSVG=True,
     )