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:
2026-03-18 17:47:00 +08:00
parent 0ced0fa816
commit 68f171ad1d
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#!/usr/bin/env python
"""
Tylosin Splicing System - Main Entry Point
"""
def main():
print("Hello from Tylosin Splicer")
if __name__ == "__main__":
main()

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src/splicing/__init__.py Normal file
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src/splicing/engine.py Normal file
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from rdkit import Chem
def splice_molecule(scaffold: Chem.Mol, fragment: Chem.Mol, position: int) -> Chem.Mol:
"""
Connects a scaffold and a fragment by replacing a specific dummy atom on the scaffold
and a dummy atom on the fragment with a single bond.
Args:
scaffold: The scaffold molecule containing labeled dummy atoms (e.g., [1*]).
fragment: The fragment molecule containing a dummy atom (*).
position: The isotope number of the dummy atom on the scaffold to attach to.
Returns:
Chem.Mol: The spliced molecule.
Raises:
ValueError: If the specified dummy atom is not found on the scaffold
or if the fragment does not contain a dummy atom.
"""
# 1. Combine molecules
# Note: CombineMols preserves atom indices of mol1 (scaffold), and appends mol2 (fragment).
# Atoms 0 to N-1 are scaffold, N to N+M-1 are fragment.
combined = Chem.CombineMols(scaffold, fragment)
rw_mol = Chem.RWMol(combined)
scaffold_atom_count = scaffold.GetNumAtoms()
total_atoms = rw_mol.GetNumAtoms()
# 2. Find Scaffold Dummy
scaffold_dummy_idx = -1
for i in range(scaffold_atom_count):
atom = rw_mol.GetAtomWithIdx(i)
if atom.GetAtomicNum() == 0 and atom.GetIsotope() == position:
scaffold_dummy_idx = i
break
if scaffold_dummy_idx == -1:
raise ValueError(f"Scaffold dummy atom with isotope {position} not found")
# 3. Find Fragment Dummy
# We search in the fragment part (indices >= scaffold_atom_count)
fragment_dummy_idx = -1
for i in range(scaffold_atom_count, total_atoms):
atom = rw_mol.GetAtomWithIdx(i)
# We assume any dummy atom in the fragment is the attachment point.
# Usually fragment has isotope 0 on its dummy.
if atom.GetAtomicNum() == 0:
fragment_dummy_idx = i
break
if fragment_dummy_idx == -1:
raise ValueError("Fragment does not contain a dummy atom")
# 4. Identify Neighbors (Anchors)
scaffold_dummy = rw_mol.GetAtomWithIdx(scaffold_dummy_idx)
if scaffold_dummy.GetDegree() != 1:
raise ValueError(f"Scaffold dummy atom at index {scaffold_dummy_idx} must have exactly one neighbor")
scaffold_anchor_idx = scaffold_dummy.GetNeighbors()[0].GetIdx()
fragment_dummy = rw_mol.GetAtomWithIdx(fragment_dummy_idx)
if fragment_dummy.GetDegree() != 1:
raise ValueError(f"Fragment dummy atom at index {fragment_dummy_idx} must have exactly one neighbor")
fragment_anchor_idx = fragment_dummy.GetNeighbors()[0].GetIdx()
# 5. Add Bond
rw_mol.AddBond(scaffold_anchor_idx, fragment_anchor_idx, Chem.BondType.SINGLE)
# 6. Remove Dummy Atoms
# Remove the higher index first to preserve the lower index
# We know fragment_dummy_idx > scaffold_dummy_idx because fragment atoms were appended.
# However, just to be safe, we sort them.
indices_to_remove = sorted([scaffold_dummy_idx, fragment_dummy_idx], reverse=True)
for idx in indices_to_remove:
rw_mol.RemoveAtom(idx)
# 7. Sanitize
Chem.SanitizeMol(rw_mol)
return rw_mol.GetMol()

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import random
from rdkit import Chem
def activate_fragment(smiles: str, strategy: str = "smart") -> Chem.Mol:
"""
Convert a small molecule fragment into an attachable R-group by adding a dummy atom (*).
Args:
smiles: SMILES string of the fragment.
strategy: 'smart' (prioritize heteroatoms) or 'random' (any atom with H).
Returns:
Chem.Mol: The activated fragment with a dummy atom attached.
"""
mol = Chem.MolFromSmiles(smiles)
if mol is None:
raise ValueError(f"Invalid SMILES string: {smiles}")
target_idx = -1
if strategy == "smart":
# Order of preference: Amine, Alcohol/Phenol, Thiol
# Amine: [N;!H0] - Nitrogen with at least one H
# Alcohol/Phenol: [O;H1] - Oxygen with 1 H (usually 2 bonds total)
# Thiol: [S;H1]
smarts_patterns = [
"[N;!H0]", # Primary/Secondary amine
"[O;H1]", # Alcohol/Phenol
"[S;H1]" # Thiol
]
for smarts in smarts_patterns:
pattern = Chem.MolFromSmarts(smarts)
if pattern:
matches = mol.GetSubstructMatches(pattern)
if matches:
# Pick the first match
target_idx = matches[0][0]
break
if target_idx == -1:
# Fallback to random if no smart match found
strategy = "random"
if strategy == "random":
# Find all atoms with at least one H
candidates = []
carbon_candidates = []
for atom in mol.GetAtoms():
# GetTotalNumHs includes implicit and explicit Hs
if atom.GetTotalNumHs() > 0:
candidates.append(atom.GetIdx())
if atom.GetSymbol() == 'C':
carbon_candidates.append(atom.GetIdx())
if not candidates:
raise ValueError("No suitable atoms with hydrogens found to attach to.")
# Prefer Carbon atoms if available
if carbon_candidates:
# Pick the first one for deterministic behavior
target_idx = carbon_candidates[0]
else:
target_idx = candidates[0]
if target_idx == -1:
# Should be caught by the candidates check, but just in case
raise ValueError("Could not identify a target atom for activation.")
# Perform attachment
rwmol = Chem.RWMol(mol)
# Add dummy atom
dummy_idx = rwmol.AddAtom(Chem.Atom('*'))
# Add bond to target atom
rwmol.AddBond(target_idx, dummy_idx, Chem.BondType.SINGLE)
# Sanitize to fix implicit H counts and ensure validity
try:
Chem.SanitizeMol(rwmol)
except Exception as e:
raise ValueError(f"Failed to sanitize molecule after activation: {e}")
return rwmol.GetMol()

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from rdkit import Chem
from typing import List, Dict, Tuple, Set, Optional
from src.ring_numbering import assign_ring_numbering
def get_subtree_indices(mol: Chem.Mol, start_atom_idx: int, forbidden_idx: int) -> Set[int]:
"""
Get all atom indices in the subtree starting at start_atom_idx,
moving away from forbidden_idx.
Used to identify side chain atoms to remove.
"""
subtree = set()
stack = [start_atom_idx]
while stack:
current = stack.pop()
if current in subtree:
continue
subtree.add(current)
atom = mol.GetAtomWithIdx(current)
for neighbor in atom.GetNeighbors():
n_idx = neighbor.GetIdx()
# Traverse neighbors except the one leading back to the ring (forbidden)
# and those already visited
if n_idx != forbidden_idx and n_idx not in subtree:
stack.append(n_idx)
return subtree
def prepare_tylosin_scaffold(smiles: str, positions: List[int]) -> Tuple[Chem.Mol, Dict[int, int]]:
"""
Prepare the Tylosin scaffold by removing side chains at specified positions
and marking them with dummy atoms.
Args:
smiles: SMILES string of the scaffold/molecule.
positions: List of ring positions (1-16) to prepare (add sockets).
Returns:
Tuple of (Modified Molecule, Dict mapping position -> new_dummy_atom_idx)
The returned molecule has dummy atoms ('*') at the specified positions,
marked with Isotope = position number.
"""
mol = Chem.MolFromSmiles(smiles)
if not mol:
raise ValueError(f"Invalid SMILES: {smiles}")
# 1. Ring numbering to identify target atoms
ring_map = assign_ring_numbering(mol) # atom_idx -> ring_pos
if not ring_map:
raise ValueError("Could not assign ring numbering. Is this a 16-membered lactone?")
# Reverse map for easy lookup: ring_pos -> atom_idx
pos_to_atom = {v: k for k, v in ring_map.items()}
atoms_to_remove = set()
dummies_to_add = [] # List of (ring_atom_idx, position)
# 2. Identify edits
for pos in positions:
if pos not in pos_to_atom:
raise ValueError(f"Position {pos} not found in ring numbering.")
ring_atom_idx = pos_to_atom[pos]
ring_atom = mol.GetAtomWithIdx(ring_atom_idx)
# Identify non-ring neighbors (side chains)
# Note: neighbors in ring have indices in ring_map
side_chain_neighbors = []
for n in ring_atom.GetNeighbors():
if n.GetIdx() not in ring_map:
side_chain_neighbors.append(n.GetIdx())
# If side chains exist, mark them for removal
if side_chain_neighbors:
for sc_idx in side_chain_neighbors:
subtree = get_subtree_indices(mol, sc_idx, forbidden_idx=ring_atom_idx)
atoms_to_remove.update(subtree)
# Plan to add dummy at this ring atom
dummies_to_add.append((ring_atom_idx, pos))
# 3. Apply edits using RWMol
rwmol = Chem.RWMol(mol)
# Step A: Add dummy atoms
# We add them before deletion to use stable ring indices.
# Note: Adding atoms does not change existing indices.
for ring_idx, pos in dummies_to_add:
# Create dummy atom
dummy = Chem.Atom('*')
dummy.SetIsotope(pos) # Mark with position
new_idx = rwmol.AddAtom(dummy)
# Add bond to ring atom
rwmol.AddBond(ring_idx, new_idx, Chem.BondType.SINGLE)
# Step B: Remove side chain atoms
# Sort descending to preserve lower indices during deletion
sorted_remove = sorted(list(atoms_to_remove), reverse=True)
for idx in sorted_remove:
rwmol.RemoveAtom(idx)
# 4. Finalize
mol_final = rwmol.GetMol()
try:
Chem.SanitizeMol(mol_final)
except Exception:
# Sometime dummies trigger sanitization errors, but usually partial sanitization works.
# We'll ignore strict sanitization errors for the scaffold as it has dummies.
pass
# 5. Build result map (position -> atom_index in new mol)
# Since indices shifted, we find dummies by their isotope markers.
final_dummy_map = {}
for atom in mol_final.GetAtoms():
if atom.GetSymbol() == '*' and atom.GetIsotope() in positions:
final_dummy_map[atom.GetIsotope()] = atom.GetIdx()
return mol_final, final_dummy_map

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import sys
import os
from pathlib import Path
# Add SIME to path
SIME_PATH = "/home/zly/project/SIME"
if SIME_PATH not in sys.path:
sys.path.append(SIME_PATH)
# Add project root to path so we can import 'src'
PROJECT_ROOT = str(Path(__file__).parent.parent)
if PROJECT_ROOT not in sys.path:
sys.path.append(PROJECT_ROOT)
def test_imports():
"""Verify that we can import from both local project and SIME."""
print(f"sys.path: {sys.path}")
# 1. Test local import from src
try:
# Correct function name based on file inspection
from src.ring_numbering import assign_ring_numbering
assert callable(assign_ring_numbering)
print("Successfully imported src.ring_numbering.assign_ring_numbering")
except ImportError as e:
print(f"Failed to import src.ring_numbering: {e}")
raise
# 2. Test SIME import
try:
from utils.mole_predictor import ParallelBroadSpectrumPredictor
assert ParallelBroadSpectrumPredictor is not None
print("Successfully imported ParallelBroadSpectrumPredictor from utils.mole_predictor")
except ImportError as e:
print(f"Failed to import from SIME: {e}")
raise
if __name__ == "__main__":
test_imports()

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import pytest
from rdkit import Chem
from src.splicing.fragment_prep import activate_fragment
def test_activate_smart_ethanol():
"""Test 'smart' activation on Ethanol (CCO). Should attach to Oxygen."""
smiles = "CCO"
mol = activate_fragment(smiles, strategy="smart")
# Check if we have a dummy atom
assert mol is not None
assert mol.GetNumAtoms() == 4 # C, C, O, *
# Check if the dummy atom is attached to Oxygen
# Find the dummy atom
dummy_atom = None
for atom in mol.GetAtoms():
if atom.GetSymbol() == '*':
dummy_atom = atom
break
assert dummy_atom is not None
# Check neighbors of dummy atom
neighbors = dummy_atom.GetNeighbors()
assert len(neighbors) == 1
assert neighbors[0].GetSymbol() == 'O'
# Check output SMILES format
out_smiles = Chem.MolToSmiles(mol)
assert '*' in out_smiles
def test_activate_smart_amine():
"""Test 'smart' activation on Ethylamine (CCN). Should attach to Nitrogen."""
smiles = "CCN"
mol = activate_fragment(smiles, strategy="smart")
assert mol is not None
# Find the dummy atom
dummy_atom = None
for atom in mol.GetAtoms():
if atom.GetSymbol() == '*':
dummy_atom = atom
break
assert dummy_atom is not None
neighbors = dummy_atom.GetNeighbors()
assert neighbors[0].GetSymbol() == 'N'
def test_activate_random_pentane():
"""Test 'random' activation on Pentane (CCCCC). Should attach to a Carbon."""
smiles = "CCCCC"
# Seed is not easily passed to the function unless we add it to the signature or fix it inside.
# For this test, any Carbon is fine.
mol = activate_fragment(smiles, strategy="random")
assert mol is not None
assert mol.GetNumAtoms() == 6 # 5 C + 1 *
dummy_atom = None
for atom in mol.GetAtoms():
if atom.GetSymbol() == '*':
dummy_atom = atom
break
assert dummy_atom is not None
neighbors = dummy_atom.GetNeighbors()
assert neighbors[0].GetSymbol() == 'C'
def test_activate_smart_fallback():
"""Test 'smart' fallback when no heteroatoms are found (e.g. Propane)."""
smiles = "CCC"
# Should fall back to finding a terminal carbon or random
# The requirement says "fall back to a terminal Carbon" or random.
# Let's assume the implementation picks a terminal carbon if possible, or just behaves like random on C.
mol = activate_fragment(smiles, strategy="smart")
assert mol is not None
dummy_atom = None
for atom in mol.GetAtoms():
if atom.GetSymbol() == '*':
dummy_atom = atom
break
assert dummy_atom is not None
neighbor = dummy_atom.GetNeighbors()[0]
assert neighbor.GetSymbol() == 'C'
# Verify it's a valid molecule
assert Chem.SanitizeMol(mol) == Chem.SanitizeFlags.SANITIZE_NONE
def test_invalid_smiles():
with pytest.raises(ValueError):
activate_fragment("NotASmiles", strategy="smart")

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import pytest
from rdkit import Chem
from src.splicing.scaffold_prep import prepare_tylosin_scaffold
from src.ring_numbering import assign_ring_numbering
def test_prepare_tylosin_scaffold():
# Construct a 16-membered lactone with side chains
# Numbering logic (assumed based on implementation):
# 1: C=O
# 2-6: CH2
# 7: CH(CH3) <- Methyl side chain
# 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

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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)