Full-stack chemistry toolkit combining PubChem data retrieval with RDKit molecule processing, visualization, analysis, retrosynthesis, and synthesis planning. All outputs are structured JSON for easy downstream chaining. Generates PNG/SVG images on demand.
Key capabilities:
# PubChem compound info
exec python scripts/query_pubchem.py --compound "aspirin" --type info
# Molecular properties from SMILES
exec python scripts/rdkit_mol.py --smiles "CC(=O)Oc1ccccc1C(=O)O" --action props
# Retrosynthesis
exec python scripts/rdkit_mol.py --target "CC(=O)Oc1ccccc1C(=O)O" --action retro --depth 2
# Full chain (name → props + draw + retro)
exec python scripts/chain_entry.py --input-json '{"name": "caffeine", "context": "user"}'
scripts/query_pubchem.pyPubChem REST API queries with automatic name→CID resolution and timeout handling.
--compound <name|CID> --type <info|structure|synthesis|similar> [--format smiles|inchi|image|json] [--threshold 80]
scripts/rdkit_mol.pyRDKit cheminformatics engine. Resolves names via PubChem automatically.
--smiles <SMILES> --action <props|draw|fingerprint|similarity|substruct|xyz|react|retro|plan>
| Action | Description | Key Args | |
|---|---|---|---|
| -------- | ------------- | ---------- | |
| props | MW, logP, TPSA, HBD, HBA, rotB, aromRings | --smiles | |
| draw | 2D PNG/SVG (300×300) | `--smiles --output file.png --format png\ | svg` |
| retro | BRICS recursive retrosynthesis | `--target | name> --depth N` | |
| plan | Multi-step retro route | `--target | name> --steps N` | |
| react | Forward reaction via SMARTS | --reactants "smi1 smi2" --smarts " | |
| fingerprint | Morgan fingerprint bitvector | --smiles --radius 2 | |
| similarity | Tanimoto similarity scoring | --query_smiles --target_smiles "smi1,smi2" | |
| substruct | Substructure matching | --query_smiles --target_smiles "smi1,smi2" | |
| xyz | 3D coordinates (MMFF optimized) | --smiles |
scripts/chain_entry.pyStandard agent chain interface. Accepts {"smiles": "...", "context": "..."} or {"name": "...", "context": "..."}. Returns unified JSON with props, visualization, and retrosynthesis.
python scripts/chain_entry.py --input-json '{"name": "sotorasib", "context": "user"}'
Output schema:
{
"agent": "chemistry-query",
"version": "1.4.0",
"smiles": "<canonical>",
"status": "success|error",
"report": {"props": {...}, "draw": {...}, "retro": {...}},
"risks": [],
"viz": ["path/to/image.png"],
"recommend_next": ["pharmacology", "toxicology"],
"confidence": 0.95,
"warnings": [],
"timestamp": "ISO8601"
}
scripts/templates.json21 named reaction templates with SMARTS, expected yields, conditions, and references. Includes: Suzuki, Heck, Buchwald-Hartwig, Grignard, Wittig, Diels-Alder, Click, Sonogashira, Negishi, and more.
chain_entry.py with {"name": "ibuprofen"} → props + draw + retropharma-pharmacology-agent--action react --reactants "c1ccccc1Br c1ccccc1B(O)O" --smarts "[c:1][Br:2].[c:3]B(O)O>>[c:1][c:3]"All features verified end-to-end with RDKit 2024.03+:
| Molecule | SMILES | Tests Passed |
|---|---|---|
| ---------- | -------- | ------------- |
| Caffeine | CN1C=NC2=C1C(=O)N(C(=O)N2C)C | info, structure, props, draw, retro, plan, chain |
| Aspirin | CC(=O)Oc1ccccc1C(=O)O | info, structure, props, draw, retro, plan, chain |
| Sotorasib | PubChem name lookup | info, structure, props, draw, retro, chain |
| Ibuprofen | PubChem name lookup | info, structure, props, chain |
| Invalid SMILES | XXXINVALID | Graceful JSON error |
| Empty input | {} | Graceful JSON error |
references/api_endpoints.md — PubChem API endpoint reference and rate limitsscripts/rdkit_reaction.py — Legacy reaction modulescripts/chembl_query.py, scripts/pubmed_search.py, scripts/admet_predict.py — Additional query modulesscripts/advanced_chem.pyAdvanced cheminformatics engine with 6 Tier 1 capabilities.
--action <standardize|descriptors|scaffold|mcs|mmpa|chemspace> --smiles <SMILES> [options]
| Action | Description | Key Args | |||
|---|---|---|---|---|---|
| -------- | ------------- | ---------- | |||
| standardize | Salt stripping, charge normalization, tautomer enumeration | --smiles | |||
| descriptors | 217+ molecular descriptors (RDKit full set), QED, SA Score, Lipinski/Veber rules | `--smiles --descriptor_set all\ | druglike\ | physical\ | topological` |
| scaffold | Murcko scaffold extraction, generic scaffolds, diversity analysis, R-group decomposition | --smiles or --target_smiles "smi1,smi2,..." --rgroup_core | |||
| mcs | Maximum Common Substructure across 2+ molecules | --target_smiles "smi1,smi2,..." | |||
| mmpa | Matched Molecular Pair Analysis — find single-point transformations | --target_smiles "smi1,smi2,..." | |||
| chemspace | Chemical space visualization (PCA/t-SNE/UMAP scatter plot PNG) | `--target_smiles "smi1,smi2,..." --method pca\ | tsne\ | umap --output plot.png` |
Examples:
# Standardize a salt form
python scripts/advanced_chem.py --action standardize --smiles "[Na+].CC(=O)[O-]"
# Full descriptors (217+)
python scripts/advanced_chem.py --action descriptors --smiles "CC(=O)Oc1ccccc1C(=O)O" --descriptor_set all
# Scaffold diversity of a set
python scripts/advanced_chem.py --action scaffold --target_smiles "CC(=O)Oc1ccccc1C(=O)O,CN1C=NC2=C1C(=O)N(C(=O)N2C)C,CC(C)Cc1ccc(cc1)C(C)C(=O)O"
# MCS of aspirin and salicylic acid
python scripts/advanced_chem.py --action mcs --target_smiles "CC(=O)Oc1ccccc1C(=O)O,c1ccccc1C(=O)O"
# Matched molecular pairs
python scripts/advanced_chem.py --action mmpa --target_smiles "c1ccc(CC(=O)O)cc1,c1ccc(CCC(=O)O)cc1"
# Chemical space PCA plot
python scripts/advanced_chem.py --action chemspace --target_smiles "CC(=O)Oc1ccccc1C(=O)O,CN1C=NC2=C1C(=O)N(C(=O)N2C)C,c1ccccc1" --method pca --output space.png
v2.0.0 (2026-02-28)
advanced_chem.py with 6 Tier 1 cheminformatics capabilitiesv1.4.1 (2026-02-25)
_sanitize_input() — length limits, null-byte rejection for all user inputs_sanitize_output_path() — prevents path traversal, restricts extensions, blocks arbitrary file writesresolve_target()chem_ui.py before subprocess callsquery_pubchem.py (length/null-byte checks)resolve_target() PubChem subprocess callv1.4.0 (2026-02-14)
v1.3.0
v1.2.0
共 2 个版本