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bio-molecular-standardization skillA

bio-molecular-standardization is agent-read markdown (skill) from pku-yuangroup/openai4s: Standardizes molecular structures using the ChEMBL structure pipeline for normalization and parent selection plus RDKit rdMolStandardize for explicit custom steps such as tautomer canonicalization, salt/solvent stripping, charge handling, stereochemistry handling, mixture selection, and isotope normalization. Explicitly compares ChEMBL, canSARchem, RDKit, and PubChem standardization choices. Use when preparing libraries for QSAR training, joining datasets across sources, deduplicating compound c.

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## Version Compatibility

Reference examples tested with: RDKit 2024.09+ and chembl_structure_pipeline 1.2+. MolVS 0.1.1 is a legacy package; use RDKit's maintained `rdMolStandardize` module for custom pipelines.

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# Molecular Standardization

Convert raw molecular structures into a consistent form for ML training data, deduplication, registry, and cross-database joining. Skipping standardization can create data leakage when alternate representations of one compound enter different splits, distort QSAR inputs, and cause database join misses. The ChEMBL structure pipeline (Bento et al. 2020) is built on RDKit and applies ChEMBL-specific normalization and parent-selection rules. canSARchem (Dolciami et al. 2022) adds canonical-tautomer selection before parent extraction. RDKit's maintained `rdMolStandardize` module provides primitives for building an explicit custom…
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Source

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pku-yuangroup/openai4s · 586 stars · license MIT · pushed 2026-09-23 · branch main

API

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