Can I use this for high-throughput screening (HTS) data?

Yes, the skill is designed for scale and supports parallelized processing using all available CPU cores to handle large datasets efficiently.

How do I filter molecules based on custom chemical properties?

You can use the Medchem Query Language or the Constraints module to define specific ranges for Molecular Weight, LogP, TPSA, and rotatable bond counts.

Does it detect Pan-Assay Interference Compounds (PAINS)?

Yes, it includes dedicated PAINS filters along with common structural alerts from ChEMBL, Novartis (NIBR), and Eli Lilly to identify potentially problematic molecules.

What drug-likeness rules does this skill support?

It supports a wide variety of established rules including Lipinski's Rule of Five, Veber's rules, Rule of Oprea, Rule of Lead-like, Rule of Three, and Rule of CNS.

Medicinal Chemistry Toolkit

Name: Medicinal Chemistry Toolkit
Author: K-Dense-AI

byK-Dense-AI

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2,188

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Data Science & ML

Applies medicinal chemistry rules and structural filters to prioritize drug-like compounds in molecular discovery workflows.

The Medchem skill provides a comprehensive suite of tools for medicinal chemists and computational scientists to triage molecular libraries within Claude. It implements industry-standard drug-likeness rules such as Lipinski’s Rule of Five and Veber’s rules, detects Pan-Assay Interference Compounds (PAINS), and identifies problematic structural alerts using NIBR and Lilly Demerits. By integrating these scientific filters directly into the coding environment, it enables efficient compound prioritization, lead optimization assessment, and sophisticated chemical group detection using a specialized query language or high-performance Pythonic API.

Key Features

01Implementation of classic drug-likeness rules including Lipinski, Veber, and CNS rules

022,188 GitHub stars

03High-performance parallelized batch filtering for large-scale virtual screening

04Molecular complexity metrics to approximate synthetic accessibility

05Chemical group and functional group identification using curated SMARTS patterns

06Advanced structural alert detection including PAINS, NIBR filters, and Lilly Demerits

Use Cases

01Initial triage of large compound libraries to identify drug-like candidates

02Automated detection of reactive or problematic functional groups in chemical datasets

03Lead optimization filtering to ensure candidates meet strict property constraints

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills medchem

For use in Claude.ai and ChatGPT

Download Skill