LigandMPNN (Claude Skill)
Designs protein sequences for a fixed backbone while accounting for bound ligands, metals, and nucleic acids using LigandMPNN, driven as a Claude skill.
| Type | Claude Skill |
| Supplier | Baker Lab, UW Institute for Protein Design |
| Availability | GA — Claude Science research skill |
| Pricing | Free / OSS (MIT) |
| Capabilities | Read/Write — local inference; writes designed sequences (FASTA) and scores |
| Verified | works · 2026-07-20 |
| Security | cleared · 2026-07-20 — provenance matches Baker Lab, MIT, featured Claude Science skill, local inference no credentials |
How to install
- Claude Science — enable the built-in LigandMPNN research skill (Anthropic-hosted; not published to the public
anthropics/life-sciencesmarketplace). - Run the model yourself — the upstream model is open source:
git clone https://github.com/dauparas/LigandMPNNFollow the repo README for environment setup and model weights.
What it does
Runs LigandMPNN to design amino-acid sequences for a target backbone (PDB), conditioning on non-protein context (ligands, metals, nucleotides). Local inference only.
Primary use cases: Ligand-binding-site redesign, enzyme active-site design, metalloprotein sequence design
Notes
Claude Science: Featured as a research skill in Anthropic’s Claude Science. Its inclusion there is an independent signal of quality and trustworthiness for life-science work.
Local (your compute). Same family as ProteinMPNN with explicit non-protein atom context.
Sources
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