ProteinMPNN (Claude Skill)
Designs amino-acid sequences that fold to a target backbone using ProteinMPNN, 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) with per-position scores |
| Verified | works · 2026-07-20 |
| Security | cleared · 2026-07-20 — provenance matches dauparas/ProteinMPNN, MIT, no advisories |
How to install
- Claude Science — enable the built-in ProteinMPNN 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/ProteinMPNNFollow the repo README for environment setup and model weights.
What it does
Runs ProteinMPNN to generate sequences for a fixed protein backbone (PDB input), with control over fixed/tied positions, temperature, and symmetry. Local inference only; commonly paired with RFdiffusion backbones and AlphaFold validation.
Primary use cases: De novo protein sequence design, backbone redesign, binder-sequence generation
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). For ligand/metal/nucleotide context use LigandMPNN; for solubility-tuned designs use SolubleMPNN.
Sources
- dauparas/ProteinMPNN
- Dauparas et al. 2022, Science
- Anthropic — Claude Science: Connectors and skills
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