ADMET Drug-Likeness Molecular Report

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admet_druglikeness_report is a Claude Code skill that generates a comprehensive ADMET and drug-likeness report for molecules, covering the full range of properties needed in medicinal chemistry workflows. It combines 5 tools from 2 MCP servers and executes a five-step pipeline: calculating basic molecular info, analyzing hydrogen bonds, computing hydrophobicity, deriving topology descriptors, and predicting ADMET profiles. The skill accepts a SMILES string as input and returns an integrated physicochemical and pharmacokinetic assessment of the compound. It is particularly useful for drug screening and lead optimization, allowing researchers to evaluate absorption, distribution, metabolism, excretion, and toxicity characteristics before committing to laboratory experiments.