def __init__(self, smiles):
DGLGraph.__init__(self)
self.nodes_dict = {}
if smiles is None:
return
self.smiles = smiles
self.mol = get_mol(smiles)
mol = Chem.MolFromSmiles(smiles)
self.smiles3D = Chem.MolToSmiles(mol, isomericSmiles=True)
self.smiles2D = Chem.MolToSmiles(mol)
self.stereo_cands = decode_stereo(self.smiles2D)
cliques, edges = tree_decomp(self.mol)
root = 0
for i, c in enumerate(cliques):
cmol = get_clique_mol(self.mol, c)
csmiles = get_smiles(cmol)
self.nodes_dict[i] = dict(
smiles=csmiles,
mol=get_mol(csmiles),
clique=c,
)
if min(c) == 0:
root = i
self.add_nodes(len(cliques))
if root > 0:
for attr in self.nodes_dict[0]:
self.nodes_dict[0][attr], self.nodes_dict[root][attr] = \
self.nodes_dict[root][attr], self.nodes_dict[0][attr]
src = np.zeros((len(edges) * 2, ), dtype='int')
dst = np.zeros((len(edges) * 2, ), dtype='int')
for i, (_x, _y) in enumerate(edges):
x = 0 if _x == root else root if _x == 0 else _x
y = 0 if _y == root else root if _y == 0 else _y
src[2 * i] = x
dst[2 * i] = y
src[2 * i + 1] = y
dst[2 * i + 1] = x
self.add_edges(src, dst)
for i in self.nodes_dict:
self.nodes_dict[i]['nid'] = i + 1
if self.out_degree(i) > 1:
set_atommap(self.nodes_dict[i]['mol'],
self.nodes_dict[i]['nid'])
self.nodes_dict[i]['is_leaf'] = (self.out_degree(i) == 1)
def __init__(self, smiles):
self.smiles = smiles
self.mol = get_mol(smiles)
#Stereo Generation
mol = Chem.MolFromSmiles(smiles)
self.smiles3D = Chem.MolToSmiles(mol, isomericSmiles=True)
self.smiles2D = Chem.MolToSmiles(mol)
self.stereo_cands = decode_stereo(self.smiles2D)
cliques, edges = tree_decomp(self.mol)
self.nodes = []
root = 0
for i, c in enumerate(cliques):
cmol = get_clique_mol(self.mol, c)
node = MolTreeNode(get_smiles(cmol), c)
self.nodes.append(node)
if min(c) == 0:
root = i
for x, y in edges:
self.nodes[x].add_neighbor(self.nodes[y])
self.nodes[y].add_neighbor(self.nodes[x])
if root > 0:
self.nodes[0], self.nodes[root] = self.nodes[root], self.nodes[0]
for i, node in enumerate(self.nodes):
node.nid = i + 1
if len(node.neighbors) > 1: #Leaf node mol is not marked
set_atommap(node.mol, node.nid)
node.is_leaf = (len(node.neighbors) == 1)
def recover(self, original_mol):
clique = []
clique.extend(self.clique)
if not self.is_leaf:
for cidx in self.clique:
original_mol.GetAtomWithIdx(cidx).SetAtomMapNum(self.nid)
for nei_node in self.neighbors:
clique.extend(nei_node.clique)
if nei_node.is_leaf: #Leaf node, no need to mark
continue
for cidx in nei_node.clique:
#allow singleton node override the atom mapping
if cidx not in self.clique or len(nei_node.clique) == 1:
atom = original_mol.GetAtomWithIdx(cidx)
atom.SetAtomMapNum(nei_node.nid)
clique = list(set(clique))
label_mol = get_clique_mol(original_mol, clique)
self.label = Chem.MolToSmiles(Chem.MolFromSmiles(
get_smiles(label_mol)))
self.label_mol = get_mol(self.label)
for cidx in clique:
original_mol.GetAtomWithIdx(cidx).SetAtomMapNum(0)
return self.label
def __init__(self, smiles, clique=[]):
self.smiles = smiles
self.mol = get_mol(self.smiles)
self.clique = [x for x in clique] # copy
self.neighbors = []
self.neighbor_bonds = []
def _recover_node(self, i, original_mol):
node = self.nodes_dict[i]
clique = []
clique.extend(node['clique'])
if not node['is_leaf']:
for cidx in node['clique']:
original_mol.GetAtomWithIdx(cidx).SetAtomMapNum(node['nid'])
for j in self.successors(i).numpy():
nei_node = self.nodes_dict[j]
clique.extend(nei_node['clique'])
if nei_node['is_leaf']:
continue
for cidx in nei_node['clique']:
if cidx not in node['clique'] or len(nei_node['clique']) == 1:
atom = original_mol.GetAtomWithIdx(cidx)
atom.SetAtomMapNum(nei_node['nid'])
clique = list(set(clique))
label_mol = get_clique_mol(original_mol, clique)
node['label'] = Chem.MolToSmiles(
Chem.MolFromSmiles(get_smiles(label_mol)))
node['label_mol'] = get_mol(node['label'])
for cidx in clique:
original_mol.GetAtomWithIdx(cidx).SetAtomMapNum(0)
return node['label']
def __init__(self, smiles):
self.smiles = smiles
self.mol = get_mol(smiles)
self.mol_graph = self.build_mol_graph()
self.cliques, self.edges = tree_decomp(self.mol)
self.mol_tree = self.build_mol_tree()
self.order = []
self.set_anchor()
def mol2graph(mol_batch):
padding = torch.zeros(ATOM_FDIM + BOND_FDIM)
fatoms, fbonds = [], [padding] #Ensure bond is 1-indexed
in_bonds, all_bonds = [], [(-1, -1)] #Ensure bond is 1-indexed
scope = []
total_atoms = 0
#print("bu batchdekiler")
for smiles in mol_batch:
mol = get_mol(smiles)
#print(smiles)
#mol = Chem.MolFromSmiles(smiles)
n_atoms = mol.GetNumAtoms()
for atom in mol.GetAtoms():
fatoms.append(atom_features(atom))
in_bonds.append([])
for bond in mol.GetBonds():
a1 = bond.GetBeginAtom()
a2 = bond.GetEndAtom()
x = a1.GetIdx() + total_atoms
y = a2.GetIdx() + total_atoms
b = len(all_bonds)
all_bonds.append((x, y))
fbonds.append(torch.cat([fatoms[x], bond_features(bond)], 0))
in_bonds[y].append(b)
b = len(all_bonds)
all_bonds.append((y, x))
fbonds.append(torch.cat([fatoms[y], bond_features(bond)], 0))
in_bonds[x].append(b)
scope.append((total_atoms, n_atoms))
total_atoms += n_atoms
total_bonds = len(all_bonds)
fatoms = torch.stack(fatoms, 0)
fbonds = torch.stack(fbonds, 0)
agraph = torch.zeros(total_atoms, MAX_NB).long()
bgraph = torch.zeros(total_bonds, MAX_NB).long()
for a in range(total_atoms):
for i, b in enumerate(in_bonds[a]):
agraph[a, i] = b
for b1 in range(1, total_bonds):
x, y = all_bonds[b1]
for i, b2 in enumerate(in_bonds[x]):
if all_bonds[b2][0] != y:
bgraph[b1, i] = b2
return fatoms, fbonds, agraph, bgraph, scope
def __init__(self, smiles, clique=None):
if clique is None:
clique = []
self.smiles = smiles
self.mol = get_mol(self.smiles)
self.clique = [x for x in clique] # copy
self.neighbors = []
self.is_leaf = None
self.nid = None
self.label = None
self.label_mol = None
self.cands = None
self.cand_mols = None
self.idx = None
self.wid = None
def __init__(self, smiles):
self.smiles = smiles
self.mol = get_mol(smiles)
# Stereo Generation
mol = Chem.MolFromSmiles(smiles)
self.smiles3D = Chem.MolToSmiles(mol, isomericSmiles=True)
self.smiles2D = Chem.MolToSmiles(mol)
self.stereo_cands = decode_stereo(self.smiles2D)
self.node_pair2bond = {}
cliques, edges = tree_decomp(self.mol)
self.nodes = []
root = 0
for i, c in enumerate(cliques):
cmol = get_clique_mol(self.mol, c)
node = MolTreeNode(get_smiles(cmol), c)
self.nodes.append(node)
if min(c) == 0:
root = i
self.n_edges = 0
self.n_virtual_edges = 0
for x, y in edges:
self.nodes[x].add_neighbor(self.nodes[y])
self.nodes[y].add_neighbor(self.nodes[x])
xy_bond = self.nodes[x].add_neighbor_bond(self.nodes[y], self.mol)
yx_bond = self.nodes[y].add_neighbor_bond(self.nodes[x], self.mol)
self.node_pair2bond[(x, y)] = xy_bond
self.node_pair2bond[(y, x)] = yx_bond
if isinstance(xy_bond, RDKitBond) or isinstance(
yx_bond, RDKitBond):
self.n_virtual_edges += 1
self.n_edges += 1
# change
if root > 0:
self.nodes[0], self.nodes[root] = self.nodes[root], self.nodes[0]
for i, node in enumerate(self.nodes):
node.nid = i + 1
if len(node.neighbors) > 1: # Leaf node mol is not marked
set_atommap(node.mol, node.nid)
node.is_leaf = (len(node.neighbors) == 1)
