Accesses over 230 million purchasable compounds from the ZINC repository for virtual screening and cheminformatics.
This skill integrates Claude with the ZINC database, a comprehensive repository of over 230 million purchasable chemical compounds maintained by UCSF. It enables researchers to perform complex chemical searches by ZINC ID or SMILES notation, execute similarity and analog searches for lead discovery, and retrieve 3D-ready structures for molecular docking. By streamlining the identification of commercially available molecules and the exploration of chemical diversity using ZINC22 data, this skill significantly accelerates the early stages of drug development and computational chemistry workflows.
主要功能
01Filter compounds by molecular properties using the ZINC tranche system (MW, LogP, H-donors)
021 GitHub stars
03Retrieve 3D-ready molecular structures optimized for docking studies
04Perform Tanimoto similarity searches to discover structural analogs
05Generate random compound samples for diverse chemical space screening
06Search over 230 million compounds by ZINC ID, SMILES, or supplier codes
使用场景
01Preparing virtual screening libraries for molecular docking and hit identification
02Finding commercially available analogs of lead compounds for SAR studies
03Retrieving supplier information and catalog numbers for chemical procurement