Add splicing module and related tests
- Add src/splicing/ module with scaffold_prep, fragment_prep, and engine - Add tylosin_splicer.py entry script - Add unit tests for splicing components Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
10
scripts/tylosin_splicer.py
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10
scripts/tylosin_splicer.py
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#!/usr/bin/env python
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"""
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Tylosin Splicing System - Main Entry Point
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"""
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def main():
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print("Hello from Tylosin Splicer")
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if __name__ == "__main__":
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main()
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0
src/splicing/__init__.py
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0
src/splicing/__init__.py
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79
src/splicing/engine.py
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79
src/splicing/engine.py
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from rdkit import Chem
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def splice_molecule(scaffold: Chem.Mol, fragment: Chem.Mol, position: int) -> Chem.Mol:
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"""
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Connects a scaffold and a fragment by replacing a specific dummy atom on the scaffold
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and a dummy atom on the fragment with a single bond.
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Args:
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scaffold: The scaffold molecule containing labeled dummy atoms (e.g., [1*]).
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fragment: The fragment molecule containing a dummy atom (*).
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position: The isotope number of the dummy atom on the scaffold to attach to.
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Returns:
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Chem.Mol: The spliced molecule.
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Raises:
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ValueError: If the specified dummy atom is not found on the scaffold
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or if the fragment does not contain a dummy atom.
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"""
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# 1. Combine molecules
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# Note: CombineMols preserves atom indices of mol1 (scaffold), and appends mol2 (fragment).
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# Atoms 0 to N-1 are scaffold, N to N+M-1 are fragment.
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combined = Chem.CombineMols(scaffold, fragment)
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rw_mol = Chem.RWMol(combined)
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scaffold_atom_count = scaffold.GetNumAtoms()
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total_atoms = rw_mol.GetNumAtoms()
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# 2. Find Scaffold Dummy
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scaffold_dummy_idx = -1
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for i in range(scaffold_atom_count):
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atom = rw_mol.GetAtomWithIdx(i)
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if atom.GetAtomicNum() == 0 and atom.GetIsotope() == position:
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scaffold_dummy_idx = i
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break
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if scaffold_dummy_idx == -1:
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raise ValueError(f"Scaffold dummy atom with isotope {position} not found")
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# 3. Find Fragment Dummy
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# We search in the fragment part (indices >= scaffold_atom_count)
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fragment_dummy_idx = -1
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for i in range(scaffold_atom_count, total_atoms):
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atom = rw_mol.GetAtomWithIdx(i)
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# We assume any dummy atom in the fragment is the attachment point.
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# Usually fragment has isotope 0 on its dummy.
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if atom.GetAtomicNum() == 0:
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fragment_dummy_idx = i
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break
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if fragment_dummy_idx == -1:
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raise ValueError("Fragment does not contain a dummy atom")
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# 4. Identify Neighbors (Anchors)
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scaffold_dummy = rw_mol.GetAtomWithIdx(scaffold_dummy_idx)
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if scaffold_dummy.GetDegree() != 1:
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raise ValueError(f"Scaffold dummy atom at index {scaffold_dummy_idx} must have exactly one neighbor")
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scaffold_anchor_idx = scaffold_dummy.GetNeighbors()[0].GetIdx()
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fragment_dummy = rw_mol.GetAtomWithIdx(fragment_dummy_idx)
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if fragment_dummy.GetDegree() != 1:
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raise ValueError(f"Fragment dummy atom at index {fragment_dummy_idx} must have exactly one neighbor")
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fragment_anchor_idx = fragment_dummy.GetNeighbors()[0].GetIdx()
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# 5. Add Bond
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rw_mol.AddBond(scaffold_anchor_idx, fragment_anchor_idx, Chem.BondType.SINGLE)
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# 6. Remove Dummy Atoms
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# Remove the higher index first to preserve the lower index
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# We know fragment_dummy_idx > scaffold_dummy_idx because fragment atoms were appended.
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# However, just to be safe, we sort them.
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indices_to_remove = sorted([scaffold_dummy_idx, fragment_dummy_idx], reverse=True)
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for idx in indices_to_remove:
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rw_mol.RemoveAtom(idx)
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# 7. Sanitize
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Chem.SanitizeMol(rw_mol)
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return rw_mol.GetMol()
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87
src/splicing/fragment_prep.py
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87
src/splicing/fragment_prep.py
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import random
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from rdkit import Chem
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def activate_fragment(smiles: str, strategy: str = "smart") -> Chem.Mol:
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"""
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Convert a small molecule fragment into an attachable R-group by adding a dummy atom (*).
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Args:
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smiles: SMILES string of the fragment.
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strategy: 'smart' (prioritize heteroatoms) or 'random' (any atom with H).
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Returns:
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Chem.Mol: The activated fragment with a dummy atom attached.
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"""
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mol = Chem.MolFromSmiles(smiles)
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if mol is None:
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raise ValueError(f"Invalid SMILES string: {smiles}")
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target_idx = -1
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if strategy == "smart":
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# Order of preference: Amine, Alcohol/Phenol, Thiol
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# Amine: [N;!H0] - Nitrogen with at least one H
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# Alcohol/Phenol: [O;H1] - Oxygen with 1 H (usually 2 bonds total)
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# Thiol: [S;H1]
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smarts_patterns = [
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"[N;!H0]", # Primary/Secondary amine
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"[O;H1]", # Alcohol/Phenol
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"[S;H1]" # Thiol
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]
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for smarts in smarts_patterns:
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pattern = Chem.MolFromSmarts(smarts)
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if pattern:
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matches = mol.GetSubstructMatches(pattern)
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if matches:
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# Pick the first match
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target_idx = matches[0][0]
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break
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if target_idx == -1:
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# Fallback to random if no smart match found
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strategy = "random"
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if strategy == "random":
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# Find all atoms with at least one H
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candidates = []
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carbon_candidates = []
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for atom in mol.GetAtoms():
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# GetTotalNumHs includes implicit and explicit Hs
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if atom.GetTotalNumHs() > 0:
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candidates.append(atom.GetIdx())
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if atom.GetSymbol() == 'C':
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carbon_candidates.append(atom.GetIdx())
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if not candidates:
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raise ValueError("No suitable atoms with hydrogens found to attach to.")
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# Prefer Carbon atoms if available
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if carbon_candidates:
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# Pick the first one for deterministic behavior
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target_idx = carbon_candidates[0]
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else:
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target_idx = candidates[0]
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if target_idx == -1:
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# Should be caught by the candidates check, but just in case
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raise ValueError("Could not identify a target atom for activation.")
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# Perform attachment
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rwmol = Chem.RWMol(mol)
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# Add dummy atom
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dummy_idx = rwmol.AddAtom(Chem.Atom('*'))
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# Add bond to target atom
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rwmol.AddBond(target_idx, dummy_idx, Chem.BondType.SINGLE)
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# Sanitize to fix implicit H counts and ensure validity
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try:
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Chem.SanitizeMol(rwmol)
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except Exception as e:
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raise ValueError(f"Failed to sanitize molecule after activation: {e}")
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return rwmol.GetMol()
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123
src/splicing/scaffold_prep.py
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123
src/splicing/scaffold_prep.py
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from rdkit import Chem
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from typing import List, Dict, Tuple, Set, Optional
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from src.ring_numbering import assign_ring_numbering
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def get_subtree_indices(mol: Chem.Mol, start_atom_idx: int, forbidden_idx: int) -> Set[int]:
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"""
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Get all atom indices in the subtree starting at start_atom_idx,
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moving away from forbidden_idx.
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Used to identify side chain atoms to remove.
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"""
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subtree = set()
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stack = [start_atom_idx]
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while stack:
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current = stack.pop()
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if current in subtree:
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continue
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subtree.add(current)
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atom = mol.GetAtomWithIdx(current)
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for neighbor in atom.GetNeighbors():
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n_idx = neighbor.GetIdx()
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# Traverse neighbors except the one leading back to the ring (forbidden)
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# and those already visited
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if n_idx != forbidden_idx and n_idx not in subtree:
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stack.append(n_idx)
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return subtree
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def prepare_tylosin_scaffold(smiles: str, positions: List[int]) -> Tuple[Chem.Mol, Dict[int, int]]:
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"""
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Prepare the Tylosin scaffold by removing side chains at specified positions
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and marking them with dummy atoms.
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Args:
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smiles: SMILES string of the scaffold/molecule.
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positions: List of ring positions (1-16) to prepare (add sockets).
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Returns:
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Tuple of (Modified Molecule, Dict mapping position -> new_dummy_atom_idx)
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The returned molecule has dummy atoms ('*') at the specified positions,
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marked with Isotope = position number.
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"""
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mol = Chem.MolFromSmiles(smiles)
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if not mol:
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raise ValueError(f"Invalid SMILES: {smiles}")
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# 1. Ring numbering to identify target atoms
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ring_map = assign_ring_numbering(mol) # atom_idx -> ring_pos
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if not ring_map:
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raise ValueError("Could not assign ring numbering. Is this a 16-membered lactone?")
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# Reverse map for easy lookup: ring_pos -> atom_idx
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pos_to_atom = {v: k for k, v in ring_map.items()}
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atoms_to_remove = set()
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dummies_to_add = [] # List of (ring_atom_idx, position)
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# 2. Identify edits
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for pos in positions:
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if pos not in pos_to_atom:
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raise ValueError(f"Position {pos} not found in ring numbering.")
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ring_atom_idx = pos_to_atom[pos]
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ring_atom = mol.GetAtomWithIdx(ring_atom_idx)
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# Identify non-ring neighbors (side chains)
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# Note: neighbors in ring have indices in ring_map
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side_chain_neighbors = []
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for n in ring_atom.GetNeighbors():
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if n.GetIdx() not in ring_map:
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side_chain_neighbors.append(n.GetIdx())
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# If side chains exist, mark them for removal
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if side_chain_neighbors:
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for sc_idx in side_chain_neighbors:
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subtree = get_subtree_indices(mol, sc_idx, forbidden_idx=ring_atom_idx)
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atoms_to_remove.update(subtree)
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# Plan to add dummy at this ring atom
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dummies_to_add.append((ring_atom_idx, pos))
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# 3. Apply edits using RWMol
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rwmol = Chem.RWMol(mol)
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# Step A: Add dummy atoms
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# We add them before deletion to use stable ring indices.
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# Note: Adding atoms does not change existing indices.
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for ring_idx, pos in dummies_to_add:
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# Create dummy atom
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dummy = Chem.Atom('*')
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dummy.SetIsotope(pos) # Mark with position
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new_idx = rwmol.AddAtom(dummy)
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# Add bond to ring atom
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rwmol.AddBond(ring_idx, new_idx, Chem.BondType.SINGLE)
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# Step B: Remove side chain atoms
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# Sort descending to preserve lower indices during deletion
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sorted_remove = sorted(list(atoms_to_remove), reverse=True)
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for idx in sorted_remove:
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rwmol.RemoveAtom(idx)
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# 4. Finalize
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mol_final = rwmol.GetMol()
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try:
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Chem.SanitizeMol(mol_final)
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except Exception:
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# Sometime dummies trigger sanitization errors, but usually partial sanitization works.
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# We'll ignore strict sanitization errors for the scaffold as it has dummies.
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pass
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# 5. Build result map (position -> atom_index in new mol)
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# Since indices shifted, we find dummies by their isotope markers.
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final_dummy_map = {}
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for atom in mol_final.GetAtoms():
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if atom.GetSymbol() == '*' and atom.GetIsotope() in positions:
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final_dummy_map[atom.GetIsotope()] = atom.GetIdx()
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return mol_final, final_dummy_map
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39
tests/test_env_integration.py
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tests/test_env_integration.py
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import sys
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import os
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from pathlib import Path
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# Add SIME to path
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SIME_PATH = "/home/zly/project/SIME"
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if SIME_PATH not in sys.path:
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sys.path.append(SIME_PATH)
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# Add project root to path so we can import 'src'
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PROJECT_ROOT = str(Path(__file__).parent.parent)
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if PROJECT_ROOT not in sys.path:
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sys.path.append(PROJECT_ROOT)
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def test_imports():
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"""Verify that we can import from both local project and SIME."""
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print(f"sys.path: {sys.path}")
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# 1. Test local import from src
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try:
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# Correct function name based on file inspection
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from src.ring_numbering import assign_ring_numbering
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assert callable(assign_ring_numbering)
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print("Successfully imported src.ring_numbering.assign_ring_numbering")
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except ImportError as e:
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print(f"Failed to import src.ring_numbering: {e}")
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raise
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# 2. Test SIME import
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try:
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from utils.mole_predictor import ParallelBroadSpectrumPredictor
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assert ParallelBroadSpectrumPredictor is not None
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print("Successfully imported ParallelBroadSpectrumPredictor from utils.mole_predictor")
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except ImportError as e:
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print(f"Failed to import from SIME: {e}")
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raise
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if __name__ == "__main__":
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test_imports()
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95
tests/test_fragment_prep.py
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95
tests/test_fragment_prep.py
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import pytest
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from rdkit import Chem
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from src.splicing.fragment_prep import activate_fragment
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def test_activate_smart_ethanol():
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"""Test 'smart' activation on Ethanol (CCO). Should attach to Oxygen."""
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smiles = "CCO"
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mol = activate_fragment(smiles, strategy="smart")
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# Check if we have a dummy atom
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assert mol is not None
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assert mol.GetNumAtoms() == 4 # C, C, O, *
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# Check if the dummy atom is attached to Oxygen
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# Find the dummy atom
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dummy_atom = None
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for atom in mol.GetAtoms():
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if atom.GetSymbol() == '*':
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dummy_atom = atom
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break
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assert dummy_atom is not None
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# Check neighbors of dummy atom
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neighbors = dummy_atom.GetNeighbors()
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assert len(neighbors) == 1
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assert neighbors[0].GetSymbol() == 'O'
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# Check output SMILES format
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out_smiles = Chem.MolToSmiles(mol)
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assert '*' in out_smiles
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def test_activate_smart_amine():
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"""Test 'smart' activation on Ethylamine (CCN). Should attach to Nitrogen."""
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smiles = "CCN"
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mol = activate_fragment(smiles, strategy="smart")
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assert mol is not None
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# Find the dummy atom
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dummy_atom = None
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for atom in mol.GetAtoms():
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if atom.GetSymbol() == '*':
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dummy_atom = atom
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break
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assert dummy_atom is not None
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neighbors = dummy_atom.GetNeighbors()
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assert neighbors[0].GetSymbol() == 'N'
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def test_activate_random_pentane():
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"""Test 'random' activation on Pentane (CCCCC). Should attach to a Carbon."""
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smiles = "CCCCC"
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# Seed is not easily passed to the function unless we add it to the signature or fix it inside.
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# For this test, any Carbon is fine.
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mol = activate_fragment(smiles, strategy="random")
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assert mol is not None
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assert mol.GetNumAtoms() == 6 # 5 C + 1 *
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dummy_atom = None
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for atom in mol.GetAtoms():
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if atom.GetSymbol() == '*':
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dummy_atom = atom
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break
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assert dummy_atom is not None
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neighbors = dummy_atom.GetNeighbors()
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assert neighbors[0].GetSymbol() == 'C'
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def test_activate_smart_fallback():
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"""Test 'smart' fallback when no heteroatoms are found (e.g. Propane)."""
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smiles = "CCC"
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# Should fall back to finding a terminal carbon or random
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# The requirement says "fall back to a terminal Carbon" or random.
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# Let's assume the implementation picks a terminal carbon if possible, or just behaves like random on C.
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mol = activate_fragment(smiles, strategy="smart")
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assert mol is not None
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dummy_atom = None
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for atom in mol.GetAtoms():
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if atom.GetSymbol() == '*':
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dummy_atom = atom
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break
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assert dummy_atom is not None
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neighbor = dummy_atom.GetNeighbors()[0]
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assert neighbor.GetSymbol() == 'C'
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# Verify it's a valid molecule
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assert Chem.SanitizeMol(mol) == Chem.SanitizeFlags.SANITIZE_NONE
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def test_invalid_smiles():
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with pytest.raises(ValueError):
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activate_fragment("NotASmiles", strategy="smart")
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84
tests/test_scaffold_prep.py
Normal file
84
tests/test_scaffold_prep.py
Normal file
@@ -0,0 +1,84 @@
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import pytest
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from rdkit import Chem
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from src.splicing.scaffold_prep import prepare_tylosin_scaffold
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from src.ring_numbering import assign_ring_numbering
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def test_prepare_tylosin_scaffold():
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# Construct a 16-membered lactone with side chains
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# Numbering logic (assumed based on implementation):
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# 1: C=O
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# 2-6: CH2
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# 7: CH(CH3) <- Methyl side chain
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# 8-14: CH2
|
||||
# 15: CH(CC) <- Ethyl side chain
|
||||
# 16: O
|
||||
|
||||
# SMILES:
|
||||
# O=C1 (pos 1)
|
||||
# CCCCC (pos 2-6)
|
||||
# C(C) (pos 7, with Methyl)
|
||||
# CCCCCCC (pos 8-14)
|
||||
# C(CC) (pos 15, with Ethyl)
|
||||
# O1 (pos 16)
|
||||
|
||||
smiles = "O=C1CCCCC(C)CCCCCCCCC(CC)O1"
|
||||
|
||||
# Verify initial assumption about numbering
|
||||
mol = Chem.MolFromSmiles(smiles)
|
||||
numbering = assign_ring_numbering(mol)
|
||||
|
||||
# Find atom indices for pos 7 and 15 to ensure our SMILES construction is correct for the test
|
||||
pos_map = {v: k for k, v in numbering.items()}
|
||||
assert 7 in pos_map, "Position 7 not found in ring"
|
||||
assert 15 in pos_map, "Position 15 not found in ring"
|
||||
assert 5 in pos_map, "Position 5 not found in ring"
|
||||
|
||||
atom7 = mol.GetAtomWithIdx(pos_map[7])
|
||||
atom15 = mol.GetAtomWithIdx(pos_map[15])
|
||||
atom5 = mol.GetAtomWithIdx(pos_map[5])
|
||||
|
||||
# Check side chains exist
|
||||
# Atom 7 should have 3 neighbors (2 ring, 1 methyl)
|
||||
assert len(atom7.GetNeighbors()) == 3
|
||||
# Atom 15 should have 3 neighbors (2 ring, 1 ethyl)
|
||||
assert len(atom15.GetNeighbors()) == 3
|
||||
# Atom 5 should have 2 neighbors (2 ring, 2 implicit H)
|
||||
assert len(atom5.GetNeighbors()) == 2
|
||||
|
||||
# Execute scaffold prep
|
||||
target_positions = [5, 7, 15]
|
||||
res_mol, dummy_map = prepare_tylosin_scaffold(smiles, target_positions)
|
||||
|
||||
assert res_mol is not None
|
||||
assert len(dummy_map) == 3
|
||||
|
||||
# Verify dummies
|
||||
for pos in target_positions:
|
||||
assert pos in dummy_map
|
||||
dummy_idx = dummy_map[pos]
|
||||
dummy_atom = res_mol.GetAtomWithIdx(dummy_idx)
|
||||
assert dummy_atom.GetSymbol() == "*"
|
||||
assert dummy_atom.GetIsotope() == pos
|
||||
|
||||
# Check that dummy is connected to the correct ring position
|
||||
neighbors = dummy_atom.GetNeighbors()
|
||||
assert len(neighbors) == 1
|
||||
|
||||
# Verify side chains removed
|
||||
# New atom counts.
|
||||
# Original: 16 (ring) + 1 (O=) + 1 (Me) + 2 (Et) = 20 heavy atoms.
|
||||
# Removed: Me (1), Et (2). Total -3.
|
||||
# Added: 3 dummies. Total +3.
|
||||
# Net: 20.
|
||||
assert res_mol.GetNumAtoms() == 20
|
||||
|
||||
# Check that the specific side chains are gone.
|
||||
# Count carbons.
|
||||
# Original C count: 1 (C=O) + 14 (CH2/CH) + 1(Me) + 2(Et) = 18 C.
|
||||
# New C count: 1 (C=O) + 14 (Ring C) = 15 C.
|
||||
# Dummies are *. O are O.
|
||||
c_count = sum(1 for a in res_mol.GetAtoms() if a.GetSymbol() == 'C')
|
||||
assert c_count == 15, f"Expected 15 Carbons, found {c_count}"
|
||||
|
||||
dummy_count = sum(1 for a in res_mol.GetAtoms() if a.GetSymbol() == '*')
|
||||
assert dummy_count == 3
|
||||
77
tests/test_splicing_engine.py
Normal file
77
tests/test_splicing_engine.py
Normal file
@@ -0,0 +1,77 @@
|
||||
import pytest
|
||||
from rdkit import Chem
|
||||
from src.splicing.engine import splice_molecule
|
||||
|
||||
def test_splice_benzene_methyl():
|
||||
"""
|
||||
Test splicing a benzene scaffold (isotope 1) with a methyl fragment.
|
||||
Scaffold: c1ccccc1[1*] (Phenyl radical-ish dummy)
|
||||
Fragment: C* (Methyl radical-ish dummy)
|
||||
Result: Cc1ccccc1 (Toluene)
|
||||
"""
|
||||
scaffold = Chem.MolFromSmiles("c1ccccc1[1*]")
|
||||
fragment = Chem.MolFromSmiles("C*")
|
||||
|
||||
assert scaffold is not None
|
||||
assert fragment is not None
|
||||
|
||||
product = splice_molecule(scaffold, fragment, position=1)
|
||||
|
||||
# Expected result: Toluene
|
||||
expected_smiles = "Cc1ccccc1"
|
||||
expected_mol = Chem.MolFromSmiles(expected_smiles)
|
||||
expected_canonical = Chem.MolToSmiles(expected_mol, isomericSmiles=True)
|
||||
|
||||
product_canonical = Chem.MolToSmiles(product, isomericSmiles=True)
|
||||
|
||||
assert product_canonical == expected_canonical
|
||||
|
||||
def test_splice_missing_isotope():
|
||||
"""Test that error is raised if the requested position is not found on scaffold."""
|
||||
scaffold = Chem.MolFromSmiles("c1ccccc1[2*]") # Isotope 2
|
||||
fragment = Chem.MolFromSmiles("C*")
|
||||
|
||||
with pytest.raises(ValueError, match="Scaffold dummy atom with isotope 1 not found"):
|
||||
splice_molecule(scaffold, fragment, position=1)
|
||||
|
||||
def test_splice_no_fragment_dummy():
|
||||
"""Test that error is raised if fragment has no dummy atom."""
|
||||
scaffold = Chem.MolFromSmiles("c1ccccc1[1*]")
|
||||
fragment = Chem.MolFromSmiles("C") # Methane, no dummy
|
||||
|
||||
with pytest.raises(ValueError, match="Fragment does not contain a dummy atom"):
|
||||
splice_molecule(scaffold, fragment, position=1)
|
||||
|
||||
def test_complex_splicing():
|
||||
"""
|
||||
Test splicing with more complex structures.
|
||||
Scaffold: Pyridine derivative n1cccc1CC[1*]
|
||||
Fragment: Cyclopropane C1CC1*
|
||||
Result: n1cccc1CCC1CC1
|
||||
"""
|
||||
scaffold = Chem.MolFromSmiles("n1cccc1CC[1*]")
|
||||
fragment = Chem.MolFromSmiles("*C1CC1")
|
||||
|
||||
product = splice_molecule(scaffold, fragment, position=1)
|
||||
|
||||
expected = Chem.MolFromSmiles("n1cccc1CCC1CC1")
|
||||
|
||||
assert Chem.MolToSmiles(product) == Chem.MolToSmiles(expected)
|
||||
|
||||
def test_scaffold_with_multiple_different_dummies():
|
||||
"""
|
||||
Test splicing when scaffold has multiple dummies with different isotopes.
|
||||
Scaffold: [1*]c1ccccc1[2*]
|
||||
Fragment: C*
|
||||
Target: Splicing at 1 should leave [2*] intact.
|
||||
"""
|
||||
scaffold = Chem.MolFromSmiles("[1*]c1ccccc1[2*]")
|
||||
fragment = Chem.MolFromSmiles("C*")
|
||||
|
||||
# Splice at 1
|
||||
product = splice_molecule(scaffold, fragment, position=1)
|
||||
|
||||
# Expected: Cc1ccccc1[2*]
|
||||
expected = Chem.MolFromSmiles("Cc1ccccc1[2*]")
|
||||
|
||||
assert Chem.MolToSmiles(product) == Chem.MolToSmiles(expected)
|
||||
Reference in New Issue
Block a user