Calculate molecular descriptors and generate fingerprints from SMILES strings.
npx skills add https://github.com/sanand0/scientific-research --skill rdkit-sanand0
Please help me install this Agent Skill. Skill: rdkit Source: https://github.com/sanand0/scientific-research/tree/main/.claude/skills/rdkit Command: npx skills add https://github.com/sanand0/scientific-research --skill rdkit-sanand0
This Skill empowers chemists and researchers to perform complex cheminformatics tasks, from molecular analysis and property prediction to similarity searching and reaction modeling, directly within their workflow.
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 from a SMILES string, use this cheminformatics toolkit to parse the input and compute physicochemical properties directly for drug discovery workflows.
The best way to generate molecular fingerprints for similarity searching is using the built-in functions that create Morgan or MACCS fingerprints, enabling efficient compound library screening and substructure matching with SMARTS.
Yes, you can generate 3D molecular conformers for computational chemistry analysis, as the toolkit supports both 2D molecular depictions and 3D coordinate generation for structural visualization.
Substructure searching with SMARTS helps identify chemical patterns by matching specific structural queries against target molecules, allowing researchers to filter compound libraries and find molecules with desired functional groups.
Cheminformatics analysis is suitable for screening compounds for drug-likeness, allowing you to apply rules like Lipinski's Rule of Five to calculate molecular weight and filter potential lead compounds efficiently.
Yes, computational chemistry modeling supports reaction modeling and analysis, providing capabilities to manipulate molecular structures and predict properties for materials science and drug discovery research.
InternScienceConvert IUPAC chemical names to SMILES strings via OPSIN.
Lord1EgyptTrain graph neural networks for molecular property prediction on chemical datasets.
JosephWoodallCompute molecular descriptors, fingerprints, and substructure searches with RDKit in Python.
ovachieverAnalyze and manipulate molecules with RDKit for cheminformatics workflows.
