atommap-eval 1.0.0

Evaluate atom-mapping equivalence of chemical reactions using graph isomorphism.

atommap_eval

Evaluate the equivalence of atom-mapped reaction SMILES using graph-based isomorphism.

Overview

atommap_eval is a Python package for comparing two atom-mapped reactions and determining whether they are chemically equivalent, using graph theory and RDKit.

It supports:

• ✅ Canonicalization and standardization of SMILES
• ✅ Graph construction with atom-level / bond-level attributes and mapping
• ✅ Graph isomorphism checks using networkx
• ✅ Evaluation over single or batch pairs (in parallel or sequentially)
• ✅ CLI support for evaluating CSV/JSON files
• ✅ Fast testing and linting with pytest, ruff, and black

It allows consistent evaluation of atom-mapping validity (e.g. against a ground truth atom-mapped reaction) by taking into account equivalence of some atoms (i.e. all CH3 in t-Bu are equivalent, any shuffling of atom-map indices should not impact correctness of the mapping)

Warning: tautomeric mappings are not considered equivalent even though from a chemist's perspective they are. Because template extraction of the underlying reactivity would yield different results. Flags for tautomers will however be implemented in further implementations to better deal with this specific case.

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Installation

# Clone the repo and install in editable mode
git clone https://github.com/yvsgrndjn/atommap_eval.git
cd atommap_eval
pip install -e ".[dev]"

or with Conda:

conda create -n atommap_eval python=3.9
conda activate atommap_eval
pip install -e ".[dev]"

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Usage

Python

from atommap_eval.evaluator import are_atom_maps_equivalent

gt = "[C:1](=[O:2])[O-:3].[H+:4]>>[C:1](=[O:2])[OH:3]"
pred = "[H+:4].[C:1](=[O:2])[O-:3]>>[C:1](=[O:2])[OH:3]"
result = are_atom_maps_equivalent(gt, pred)
print(result) # True

CLI

atommap_eval reactions.csv -f csv -p 4 -o results.csv

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Project structure

src/atommap_eval/
├── canonicalizer.py
├── cli.py
├── data_models.py
├── evaluator.py
├── input_io.py
├── parallel.py
├── rxn_graph.py
├── rxnmapper_utils.py
tests/

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Development

Run tests:

make test

Format code:

make format

Lint:

make lint

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Test examples

Unit tests are located under test/ and cover evaluator logic, CLI execution, and multiprocessing correctness.

License

MIT License © 2025 Yves Grandjean