Adding updates for 1.5.0 release

CHANGELOG.md

@@ -1,5 +1,17 @@
 # CHANGELOG
 
+## Version 1.5.0 - 2024-05-27
+
+### Features
+
+- Adding support for tagging reaction sites in SMILES
+- Adding more options for re-mapping routes
+
+### Miscellaneous
+
+- Improving batch routines
+- Updating InChI tools download URL
+
 ## Version 1.4.0 - 2024-03-12
 
 ### Features

docs/conf.py

@@ -6,7 +6,7 @@
 project = "ReactionUtils"
 copyright = "2022, Molecular AI group"
 author = "Molecular AI group"
-release = "1.4.0"
+release = "1.5.0"
 
 extensions = [
     "sphinx.ext.autodoc",

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "reaction_utils"
-version = "1.4.0"
+version = "1.5.0"
 description = "Utilities for working with reactions, reaction templates and template extraction"
 authors = ["Genheden, Samuel <samuel.genheden@astrazeneca.com>", "Kannas, Christos <christos.kannas@astrazeneca.com>"]
 license = "Apache-2.0"

rxnutils/chem/disconnection_sites/atom_map_tagging.py

@@ -0,0 +1,139 @@
+from __future__ import annotations
+
+import argparse
+from collections import OrderedDict
+from typing import List, Optional, Sequence
+
+import pandas as pd
+from rdkit import Chem
+
+
+def _get_atom_identifier(atom: Chem.rdchem.Atom) -> str:
+    """
+    Get atom identifier for neighborhood identification.
+    The identifier is either the atom-map number if available, otherwise the symbol.
+    :param atom: rdkit atom
+    :return: an atom identifier string
+    """
+    atom_id = atom.GetAtomMapNum()
+    if atom_id == 0:
+        atom_id = atom.GetSymbol()
+    return str(atom_id)
+
+
+def _get_bond_environment_identifier(
+    atoms: Sequence[Chem.rdchem.Atom], bond: Chem.rdchem.Bond
+) -> str:
+    """
+    Get the environment of a specific bond.
+
+    :param atoms: atoms in the molecule.
+    :param bond: bond for which the environment should be specified
+    :return: string representation of the bond environment
+    """
+    atom_map1 = _get_atom_identifier(atoms[bond.GetBeginAtomIdx()])
+    atom_map2 = _get_atom_identifier(atoms[bond.GetEndAtomIdx()])
+    bond_order = bond.GetBondType()
+    atom_map1, atom_map2 = sorted([atom_map1, atom_map2])
+    return f"{atom_map1}_{atom_map2}_{bond_order}"
+
+
+def _get_atomic_neighborhoods(smiles: str) -> OrderedDict[int, List[str]]:
+    """
+    Obtains a dictionary containing each atom (atomIdx) and a list of its
+    bonding environment.
+
+    :param smiles: Atom-mapped SMILES string
+    :return: A dictionary containing each atom (atomIdx) and a list of its
+        bonding environment identifiers.
+    """
+
+    mol = Chem.MolFromSmiles(smiles)
+    atoms = mol.GetAtoms()
+
+    neighbor_dict = {}
+    for atom in atoms:
+        bonds_list = []
+        if atom.GetAtomMapNum() != 0:
+            for bond in atom.GetBonds():
+
+                bonds_list.append(_get_bond_environment_identifier(atoms, bond))
+
+            neighbor_dict[atom.GetAtomMapNum()] = sorted(bonds_list)
+    ordered_neighbor_dict = OrderedDict(sorted(neighbor_dict.items()))
+
+    return ordered_neighbor_dict
+
+
+def get_atom_list(reactants_smiles: str, product_smiles: str) -> List[int]:
+    """
+    Given two sets of SMILES strings corresponding to a set of reactants and products,
+    returns a list of atomIdxs for which the atomic environment has changed,
+    as defined by a change in the bonds.
+
+    :param reactants_smiles: Atom-mapped SMILES string for the reactant(s)
+    :param product_smiles: Atom-mapped SMILES string for the product(s)
+    :return: List of atoms (atomIdx) for which the atomic environment has changed
+    """
+
+    ordered_reactant_neighbor_dict = _get_atomic_neighborhoods(reactants_smiles)
+    ordered_product_neighbor_dict = _get_atomic_neighborhoods(product_smiles)
+
+    all_indices = set(ordered_product_neighbor_dict.keys()) | set(
+        ordered_reactant_neighbor_dict.keys()
+    )
+
+    # Checks to see equivlence of atomic enviroments.
+    # If environment changed, then add atom to list
+    atom_list = [
+        atom_map
+        for atom_map in all_indices
+        if ordered_reactant_neighbor_dict.get(atom_map, [])
+        != ordered_product_neighbor_dict.get(atom_map, [])
+    ]
+
+    return atom_list
+
+
+def atom_map_tag_products(mapped_rxn: str) -> str:
+    """
+    Given atom-mapped reaction, returns disconnection site-tagged product where atoms
+    with changed atom environment are represented by [<atom>:1].
+
+    :param mapped_rxn: Atom-mapped reaction SMILES
+    :return: SMILES of the product containing tags corresponding to atoms changed in the
+        reaction.
+    """
+    reactants_smiles, _, product_smiles = mapped_rxn.split(">")
+
+    product_mol = Chem.MolFromSmiles(product_smiles)
+    atom_list = get_atom_list(reactants_smiles, product_smiles)
+
+    # Set atoms in product with a different environment in reactants to 1
+    for atom in product_mol.GetAtoms():
+        if atom.GetAtomMapNum() in atom_list:
+            atom.SetAtomMapNum(1)
+        else:
+            atom.SetAtomMapNum(0)
+
+    return Chem.MolToSmiles(product_mol)
+
+
+def main(args: Optional[Sequence[str]] = None) -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--input")
+    parser.add_argument("--in_column", default="RxnSmilesClean")
+    parser.add_argument("--out_column", default="products_atom_map_tagged")
+    parser.add_argument("--output")
+
+    args = parser.parse_args(args)
+
+    data = pd.read_csv(args.input, sep="\t")
+
+    smiles_col = data[args.in_column].apply(atom_map_tag_products)
+    data = data.assign(**{args.out_column: smiles_col})
+    data.to_csv(args.output, sep="\t", index=False)
+
+
+if __name__ == "__main__":
+    main()

rxnutils/chem/disconnection_sites/tag_converting.py

@@ -0,0 +1,185 @@
+from __future__ import annotations
+
+import re
+from typing import List, Tuple
+
+from rdkit import Chem
+
+from rxnutils.chem.utils import remove_atom_mapping
+
+
+def smiles_tokens(smiles: str) -> List[str]:
+    """
+    Tokenize SMILES using basic regex pattern for Chemformer.
+
+    :param smiles: SMILES to tokenize
+    :return: List of tokens identified in SMILES.
+    """
+    pattern = r"(\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\.|=|#|-|\+|\\\\|\/|:|~|@|\?|>|\*|\!|\$|\%[0-9]{2}|[0-9])"
+    regex = re.compile(pattern)
+    tokens = [token for token in regex.findall(smiles)]
+    assert smiles == "".join(tokens)
+    return tokens
+
+
+def _next_tagged_token(
+    product_tagged_tokens: List[str], untagged_token: str, tagged_token_idx: int
+) -> Tuple[str, int]:
+    """
+    Get the next tagged token in the sequence. Includes checks and fixes for
+    stereochemistry changes due to removing atom mapping.
+
+    :param product_tagged_tokens: tokens of product tagged with [<atom>:1]
+    :param untagged_token: the current token from the untagged product
+    :param tagged_token_idx: the current token index of the tagged product
+    :return: the next (tagged-product) token and the corresponding token index
+    """
+    tagged_token = product_tagged_tokens[tagged_token_idx]
+
+    # Check if the stereo chemistry has changed after removing atom-mapping and
+    # handle each specific case.
+    if tagged_token != untagged_token and (tagged_token == "/" or tagged_token == "\\"):
+        if untagged_token == "/" or untagged_token == "\\":
+            return untagged_token, tagged_token_idx
+        else:
+            tagged_token_idx += 1
+            return product_tagged_tokens[tagged_token_idx], tagged_token_idx
+
+    if (
+        tagged_token != untagged_token
+        and not ":1" in tagged_token
+        and "@" in tagged_token
+    ):
+        return untagged_token, tagged_token_idx
+
+    return tagged_token, tagged_token_idx
+
+
+def tagged_smiles_from_tokens(
+    product_tagged_tokens: List[str], product_untagged_tokens: List[str]
+) -> Tuple[str, str]:
+    """
+    Convert the tagged SMILES from atom-mapping to unmapped-token + '!'
+
+    :param product_tagged_tokens: tokens of product tagged with [<atom>:1]
+    :param product_untagged_tokens: tokens of the untagged product
+
+    :return: Tuple of SMILES of the product containing tags corresponding to atoms changed in the
+        reaction using "<atom>!", and SMILES of the (reconstructed) untagged product
+    """
+
+    print(product_tagged_tokens)
+
+    product_converted = ""
+    product_untagged = ""
+
+    tagged_token_idx = 0
+
+    for untagged_token in product_untagged_tokens:
+
+        tagged_token, tagged_token_idx = _next_tagged_token(
+            product_tagged_tokens, untagged_token, tagged_token_idx
+        )
+
+        if tagged_token != untagged_token and (
+            untagged_token == "/" or untagged_token == "\\"
+        ):
+            continue
+
+        if tagged_token == untagged_token:
+            product_converted += untagged_token
+        else:
+            # Remove brackets around a single letter
+            if (
+                len(untagged_token) == 3
+                and untagged_token.startswith("[")
+                and untagged_token.endswith("]")
+            ):
+                untagged_token = untagged_token[1]
+            product_converted += untagged_token + "!"
+
+        product_untagged += untagged_token
+
+        tagged_token_idx += 1
+
+    return product_converted, product_untagged
+
+
+def _canonicalize_tagged_smiles(
+    product_tagged: str, product_untagged: str = None
+) -> Tuple[str, str]:
+    """
+    Reorder the tagged-product SMILES on canonical form using the canonicalized
+    untagged product.
+
+    :param product_tagged: SMILES of tagged product
+    :param product_untagged: SMILES of untagged product
+    :return: canonicalized untagged and tagged product SMILES
+    """
+    mol = Chem.MolFromSmiles(product_tagged)
+    mol_untagged = Chem.MolFromSmiles(product_untagged)
+
+    _, canonical_atom_order = tuple(
+        zip(
+            *sorted(
+                [(j, i) for i, j in enumerate(Chem.CanonicalRankAtoms(mol_untagged))]
+            )
+        )
+    )
+
+    mol = Chem.RenumberAtoms(mol, canonical_atom_order)
+    mol_untagged = Chem.RenumberAtoms(mol_untagged, canonical_atom_order)
+    return Chem.MolToSmiles(mol, canonical=False), Chem.MolToSmiles(mol_untagged)
+
+
+def convert_atom_map_tag(product_atom_map_tagged: str) -> str:
+    """
+    Replace product tagged by atom-mapping [<atom>:1] to product tagged by "<atom>!".
+    Returns empty string if no atom-map tagging or the failed to create untagged product.
+
+    :param product_tagged: SMILES of the product containing tags corresponding to
+        atoms changed in the reaction using [<atom>:1]
+    :return: SMILES of the product containing tags corresponding to atoms changed in the
+        reaction using "<atom>!"
+    """
+
+    # Check number of tags
+    n_tags = len(re.findall(r"\[[^\]]+:1]", product_atom_map_tagged))
+
+    if n_tags < 1:
+        return ""
+
+    product_untagged = remove_atom_mapping(product_atom_map_tagged, canonical=False)
+
+    if not Chem.MolFromSmiles(product_untagged):
+        return ""
+
+    product_tagged, product_untagged = _canonicalize_tagged_smiles(
+        product_atom_map_tagged, product_untagged
+    )
+
+    # Update the SMILES string to remove atom-mapping brackets and explicit [H]:s and
+    # replace by <atom>!
+    product_tagged_tokens = smiles_tokens(product_tagged)
+    product_untagged_tokens = smiles_tokens(product_untagged)
+
+    product_tagged_converted, product_untagged = tagged_smiles_from_tokens(
+        product_tagged_tokens, product_untagged_tokens
+    )
+
+    n_new_tags = product_tagged_converted.count("!")
+
+    if n_new_tags != n_tags:
+        raise AssertionError(
+            f"The number of tags is not the same after converting to '!' tagging. "
+            f"product_tagged_atom_map: {product_atom_map_tagged}"
+            f"product_tagged_converted: {product_tagged_converted}."
+        )
+
+    if product_tagged_converted.replace("!", "") != product_untagged:
+        raise AssertionError(
+            f"product_tagged.replace('!', '') != product_untagged."
+            f"product_tagged: {product_tagged_converted}, product_untagged: {product_untagged}"
+        )
+
+    return product_tagged_converted