Is the Medchem skill capable of processing large molecular datasets?

Yes, it is designed for scale and supports parallel processing (n_jobs) to handle high-throughput filtering of thousands of molecules simultaneously.

What is the Medchem Query Language?

It is a specialized syntax that allows users to combine multiple filtering criteria, such as 'rule_of_five AND NOT common_alerts', into a single logical expression.

How does this skill help with synthetic accessibility?

It provides complexity metrics like Bertz and Whitlock scores, allowing you to filter out molecules that may be too complex or difficult to synthesize.

Can I use Medchem to detect PAINS and other structural alerts?

Yes, Medchem includes filters for Pan-Assay Interference Compounds (PAINS), NIBR filters, and the Eli Lilly demerit system to flag problematic structural patterns.

What drug-likeness rules are supported by the Medchem skill?

The skill supports a wide range of established rules including Lipinski's Rule of Five, Veber, Oprea, CNS, Lead-like (soft and strict), Rule of Three, and Reos.

Medicinal Chemistry Toolkit

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

byK-Dense-AI

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3,718

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데이터 과학 및 ML

Filters and prioritizes molecular libraries using medicinal chemistry rules, structural alerts, and drug-likeness metrics.

The Medchem skill provides a comprehensive suite of tools for molecular filtering and compound prioritization within drug discovery workflows. It enables developers and researchers to apply established medicinal chemistry rules—such as Lipinski's Rule of Five, Veber rules, and PAINS filters—to triage large compound libraries efficiently. By integrating structural alert detection, molecular complexity calculations, and custom property constraints, this skill helps identify lead-like candidates and flag potentially problematic functional groups before laboratory testing.

주요 기능

01Identify specific chemical groups, hinge binders, and reactive functional groups

02Apply drug-likeness rules including Lipinski, Veber, CNS, and lead-like criteria

03Calculate molecular complexity metrics (Bertz, Whitlock, Barone) for synthetic accessibility

043,718 GitHub stars

05Advanced filtering using a specialized Medchem Query Language for complex logic

06Detect structural alerts using PAINS, NIBR filters, and Lilly Demerits

사용 사례

01Detecting and filtering out reactive or interfering functional groups during lead discovery

02Calculating and constraining molecular properties like TPSA, LogP, and molecular weight

03High-throughput triage of large compound libraries to identify drug-like candidates

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