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Mufei Li 331337fe5f [Model Zoo] Clean up for Alchemy dataset (#800)
* Make dataset framework agnostic

* Update

* Update

* Fix

* Remove unused import
2019-08-28 00:08:59 +08:00

364 行
12 KiB
Python

import dgl.backend as F
import numpy as np
from functools import partial
from dgl import DGLGraph
try:
from rdkit import Chem
from rdkit.Chem import rdmolfiles, rdmolops
except ImportError:
pass
def one_hot_encoding(x, allowable_set):
"""One-hot encoding.
Parameters
----------
x : str, int or Chem.rdchem.HybridizationType
allowable_set : list
The elements of the allowable_set should be of the
same type as x.
Returns
-------
list
List of boolean values where at most one value is True.
If the i-th value is True, then we must have
x == allowable_set[i].
"""
return list(map(lambda s: x == s, allowable_set))
class BaseAtomFeaturizer(object):
"""An abstract class for atom featurizers
All atom featurizers that map a molecule to atom features should subclass it.
All subclasses should overwrite ``_featurize_atom``, which featurizes a single
atom and ``__call__``, which featurizes all atoms in a molecule.
"""
def _featurize_atom(self, atom):
return NotImplementedError
def __call__(self, mol):
return NotImplementedError
class CanonicalAtomFeaturizer(BaseAtomFeaturizer):
"""A default featurizer for atoms.
The atom features include:
* **One hot encoding of the atom type**. The supported atom types include
``C``, ``N``, ``O``, ``S``, ``F``, ``Si``, ``P``, ``Cl``, ``Br``, ``Mg``,
``Na``, ``Ca``, ``Fe``, ``As``, ``Al``, ``I``, ``B``, ``V``, ``K``, ``Tl``,
``Yb``, ``Sb``, ``Sn``, ``Ag``, ``Pd``, ``Co``, ``Se``, ``Ti``, ``Zn``,
``H``, ``Li``, ``Ge``, ``Cu``, ``Au``, ``Ni``, ``Cd``, ``In``, ``Mn``, ``Zr``,
``Cr``, ``Pt``, ``Hg``, ``Pb``.
* **One hot encoding of the atom degree**. The supported possibilities
include ``0 - 10``.
* **One hot encoding of the number of implicit Hs on the atom**. The supported
possibilities include ``0 - 6``.
* **Formal charge of the atom**.
* **Number of radical electrons of the atom**.
* **One hot encoding of the atom hybridization**. The supported possibilities include
``SP``, ``SP2``, ``SP3``, ``SP3D``, ``SP3D2``.
* **Whether the atom is aromatic**.
* **One hot encoding of the number of total Hs on the atom**. The supported possibilities
include ``0 - 4``.
Parameters
----------
atom_data_field : str
Name for storing atom features in DGLGraphs, default to be 'h'.
"""
def __init__(self, atom_data_field='h'):
super(CanonicalAtomFeaturizer, self).__init__()
self.atom_data_field = atom_data_field
@property
def feat_size(self):
"""Returns feature size"""
return 74
def _featurize_atom(self, atom):
"""Featurize an atom
Parameters
----------
atom : rdkit.Chem.rdchem.Atom
Returns
-------
results : list
List of feature values, including boolean values and numbers
"""
atom_types = ['C', 'N', 'O', 'S', 'F', 'Si', 'P', 'Cl', 'Br',
'Mg', 'Na', 'Ca', 'Fe', 'As', 'Al', 'I', 'B', 'V',
'K', 'Tl', 'Yb', 'Sb', 'Sn', 'Ag', 'Pd', 'Co', 'Se',
'Ti', 'Zn', 'H', 'Li', 'Ge', 'Cu', 'Au', 'Ni', 'Cd',
'In', 'Mn', 'Zr', 'Cr', 'Pt', 'Hg', 'Pb']
results = one_hot_encoding(atom.GetSymbol(), atom_types) + \
one_hot_encoding(atom.GetDegree(), [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) + \
one_hot_encoding(atom.GetImplicitValence(), [0, 1, 2, 3, 4, 5, 6]) + \
[atom.GetFormalCharge(), atom.GetNumRadicalElectrons()] + \
one_hot_encoding(atom.GetHybridization(),
[Chem.rdchem.HybridizationType.SP,
Chem.rdchem.HybridizationType.SP2,
Chem.rdchem.HybridizationType.SP3,
Chem.rdchem.HybridizationType.SP3D,
Chem.rdchem.HybridizationType.SP3D2]) + \
[atom.GetIsAromatic()] + \
one_hot_encoding(atom.GetTotalNumHs(), [0, 1, 2, 3, 4])
return results
def __call__(self, mol):
"""Featurize a molecule
Parameters
----------
mol : rdkit.Chem.rdchem.Mol
RDKit molecule instance.
Returns
-------
dict
Atom features of shape (N, 74),
where N is the number of atoms in the molecule
"""
num_atoms = mol.GetNumAtoms()
atom_features = []
for i in range(num_atoms):
atom = mol.GetAtomWithIdx(i)
atom_features.append(self._featurize_atom(atom))
atom_features = np.stack(atom_features)
atom_features = F.zerocopy_from_numpy(atom_features.astype(np.float32))
return {self.atom_data_field: atom_features}
def mol_to_graph(mol, graph_constructor, atom_featurizer, bond_featurizer):
"""Convert an RDKit molecule object into a DGLGraph and featurize for it.
Parameters
----------
mol : rdkit.Chem.rdchem.Mol
RDKit molecule holder
graph_constructor : callable
Takes an RDKit molecule as input and returns a DGLGraph
atom_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for atoms in a molecule, which can be used to update
ndata for a DGLGraph.
bond_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for bonds in a molecule, which can be used to update
edata for a DGLGraph.
Returns
-------
g : DGLGraph
Converted DGLGraph for the molecule
"""
new_order = rdmolfiles.CanonicalRankAtoms(mol)
mol = rdmolops.RenumberAtoms(mol, new_order)
g = graph_constructor(mol)
if atom_featurizer is not None:
g.ndata.update(atom_featurizer(mol))
if bond_featurizer is not None:
g.edata.update(bond_featurizer(mol))
return g
def construct_bigraph_from_mol(mol, add_self_loop=False):
"""Construct a bi-directed DGLGraph with topology only for the molecule.
The **i** th atom in the molecule, i.e. ``mol.GetAtomWithIdx(i)``, corresponds to the
**i** th node in the returned DGLGraph.
The **i** th bond in the molecule, i.e. ``mol.GetBondWithIdx(i)``, corresponds to the
**(2i)**-th and **(2i+1)**-th edges in the returned DGLGraph. The **(2i)**-th and
**(2i+1)**-th edges will be separately from **u** to **v** and **v** to **u**, where
**u** is ``bond.GetBeginAtomIdx()`` and **v** is ``bond.GetEndAtomIdx()``.
If self loops are added, the last **n** edges will separately be self loops for
atoms ``0, 1, ..., n-1``.
Parameters
----------
mol : rdkit.Chem.rdchem.Mol
RDKit molecule holder
add_self_loop : bool
Whether to add self loops in DGLGraphs.
Returns
-------
g : DGLGraph
Empty bigraph topology of the molecule
"""
g = DGLGraph()
# Add nodes
num_atoms = mol.GetNumAtoms()
g.add_nodes(num_atoms)
# Add edges
src_list = []
dst_list = []
num_bonds = mol.GetNumBonds()
for i in range(num_bonds):
bond = mol.GetBondWithIdx(i)
u = bond.GetBeginAtomIdx()
v = bond.GetEndAtomIdx()
src_list.extend([u, v])
dst_list.extend([v, u])
g.add_edges(src_list, dst_list)
if add_self_loop:
nodes = g.nodes()
g.add_edges(nodes, nodes)
return g
def mol_to_bigraph(mol, add_self_loop=False,
atom_featurizer=CanonicalAtomFeaturizer(),
bond_featurizer=None):
"""Convert an RDKit molecule object into a bi-directed DGLGraph and featurize for it.
Parameters
----------
mol : rdkit.Chem.rdchem.Mol
RDKit molecule holder
add_self_loop : bool
Whether to add self loops in DGLGraphs.
atom_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for atoms in a molecule, which can be used to update
ndata for a DGLGraph. Default to CanonicalAtomFeaturizer().
bond_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for bonds in a molecule, which can be used to update
edata for a DGLGraph.
Returns
-------
g : DGLGraph
Bi-directed DGLGraph for the molecule
"""
return mol_to_graph(mol, partial(construct_bigraph_from_mol, add_self_loop=add_self_loop),
atom_featurizer, bond_featurizer)
def smile_to_bigraph(smile, add_self_loop=False,
atom_featurizer=CanonicalAtomFeaturizer(),
bond_featurizer=None):
"""Convert a SMILES into a bi-directed DGLGraph and featurize for it.
Parameters
----------
smile : str
String of SMILES
add_self_loop : bool
Whether to add self loops in DGLGraphs.
atom_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for atoms in a molecule, which can be used to update
ndata for a DGLGraph. Default to CanonicalAtomFeaturizer().
bond_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for bonds in a molecule, which can be used to update
edata for a DGLGraph.
Returns
-------
g : DGLGraph
Bi-directed DGLGraph for the molecule
"""
mol = Chem.MolFromSmiles(smile)
return mol_to_bigraph(mol, add_self_loop, atom_featurizer, bond_featurizer)
def construct_complete_graph_from_mol(mol, add_self_loop=False):
"""Construct a complete graph with topology only for the molecule
The **i** th atom in the molecule, i.e. ``mol.GetAtomWithIdx(i)``, corresponds to the
**i** th node in the returned DGLGraph.
The edges are in the order of (0, 0), (1, 0), (2, 0), ... (0, 1), (1, 1), (2, 1), ...
If self loops are not created, we will not have (0, 0), (1, 1), ...
Parameters
----------
mol : rdkit.Chem.rdchem.Mol
RDKit molecule holder
add_self_loop : bool
Whether to add self loops in DGLGraphs.
Returns
-------
g : DGLGraph
Empty complete graph topology of the molecule
"""
g = DGLGraph()
num_atoms = mol.GetNumAtoms()
g.add_nodes(num_atoms)
if add_self_loop:
g.add_edges(
[i for i in range(num_atoms) for j in range(num_atoms)],
[j for i in range(num_atoms) for j in range(num_atoms)])
else:
g.add_edges(
[i for i in range(num_atoms) for j in range(num_atoms - 1)], [
j for i in range(num_atoms)
for j in range(num_atoms) if i != j
])
return g
def mol_to_complete_graph(mol, add_self_loop=False,
atom_featurizer=None,
bond_featurizer=None):
"""Convert an RDKit molecule into a complete DGLGraph and featurize for it.
Parameters
----------
mol : rdkit.Chem.rdchem.Mol
RDKit molecule holder
add_self_loop : bool
Whether to add self loops in DGLGraphs.
atom_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for atoms in a molecule, which can be used to update
ndata for a DGLGraph. Default to CanonicalAtomFeaturizer().
bond_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for bonds in a molecule, which can be used to update
edata for a DGLGraph.
Returns
-------
g : DGLGraph
Complete DGLGraph for the molecule
"""
return mol_to_graph(mol, partial(construct_complete_graph_from_mol, add_self_loop=add_self_loop),
atom_featurizer, bond_featurizer)
def smile_to_complete_graph(smile, add_self_loop=False,
atom_featurizer=None,
bond_featurizer=None):
"""Convert a SMILES into a complete DGLGraph and featurize for it.
Parameters
----------
smile : str
String of SMILES
add_self_loop : bool
Whether to add self loops in DGLGraphs.
atom_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for atoms in a molecule, which can be used to update
ndata for a DGLGraph. Default to CanonicalAtomFeaturizer().
bond_featurizer : callable, rdkit.Chem.rdchem.Mol -> dict
Featurization for bonds in a molecule, which can be used to update
edata for a DGLGraph.
Returns
-------
g : DGLGraph
Complete DGLGraph for the molecule
"""
mol = Chem.MolFromSmiles(smile)
return mol_to_complete_graph(mol, add_self_loop, atom_featurizer, bond_featurizer)