Calculate molecular descriptors and generate fingerprints from SMILES strings using RDKit.
npx skills add https://github.com/yf8578/clawomics --skill rdkit-yf8578
Please help me install this Agent Skill. Skill: rdkit Source: https://github.com/yf8578/clawomics/tree/main/skills/rdkit Command: npx skills add https://github.com/yf8578/clawomics --skill rdkit-yf8578
This Skill provides a comprehensive toolkit for cheminformatics tasks, enabling detailed molecular analysis, manipulation, and property calculation that goes beyond basic visualization.
Use the rdkit skill to calculate the molecular weight and LogP for the SMILES string 'CCO'.
High-intent search queries and answers about installing and using this skill.
To calculate molecular descriptors like LogP and TPSA, you can use cheminformatics capabilities to process SMILES strings. The toolkit computes properties such as molecular weight, LogP, and topological polar surface area directly from the molecular structure for drug-likeness screening.
Yes, you can generate molecular fingerprints for substructure searching. The toolkit supports generating Morgan and MACCS fingerprints, enabling structural similarity comparisons and substructure matching across compound libraries.
The best way to standardize molecules and generate 2D or 3D coordinates is through molecular manipulation functions. The toolkit handles geometry optimization, standardizes molecular structures, and computes spatial coordinates for structural analysis.
Yes, RDKit installation is required to perform cheminformatics tasks like reaction handling. The Skill relies on the RDKit library internally to execute detailed molecular property computation, structural analysis, and reaction processing.
Substructure search works by matching specific molecular patterns against a library of compounds. The toolkit uses fingerprint generation and structural matching algorithms to identify molecules containing the desired substructures for drug discovery applications.
Yes, you can screen a compound library for drug-likeness based on Lipinski's Rule of Five. By calculating descriptors such as molecular weight and LogP from SMILES strings, the toolkit evaluates compound properties to filter candidates.
felixboehmCalculate molecular descriptors and generate fingerprints from SMILES strings using RDKit.
itallstartedwithaideaConvert SMILES/SDF molecular structures into computed descriptors and screening outputs.
robotlearning123Analyze and manipulate molecular structures with RDKit for cheminformatics operations.
galeepParse SMILES, compute descriptors, and generate fingerprints with RDKit.
