Claude Skills · Coding

Generate and optimise novel small molecules with REINVENT 4 — de novo sampling from a chemical language model, scaffold decoration with LibInvent, fragment linking with LinkInvent, and similarity-constrained analogue generation with Mol2Mol. Use this skill to set up reinforcement-learning or curriculum runs, compose a multi-parameter scoring function from docking scores, predictive models, and physicochemical desirability, and read the resulting sampled sets. Also trigger on REINVENT, LibInvent, LinkInvent, Mol2Mol, scaffold hopping, R-group replacement, linker design, chemical language model,...

★ 8 MIT Synced 1 hour ago View SKILL.md

At a glance

Coding Manual install MIT

This skill is for Coding and helps you generate novel small molecules with chemical language models, optimize drug candidates with reinforcement learning, and design molecular scaffolds and linkers.

Install git clone --depth 1 https://github.com/K-Dense-AI/drug-discovery-agent-skills cp -r drug-discovery-agent-skills/skills/generative-design ~/.claude/skills/generative-design
Can use Other

Reinventdrug-discoverygenerative-aiMolecular Designcheminformaticsmachine-learning

Also in K-Dense-AI/drug-discovery-agent-skills

View the repo
Adaptyv Coding

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Autodock Vina Research

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Boltz Research

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Chembl Research

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Chemical Space Research

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Pythonic wrapper around RDKit with a simplified interface and sensible defaults. Preferred for standard drug discovery work — SMILES/SELFIES...

Deepchem Presentations

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when...

Degraders Research

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