ESMFold (Claude Skill)
Predicts protein structure directly from a single sequence with ESMFold — no MSA required — driven as a Claude skill.
| Type | Claude Skill |
| Supplier | Meta AI / EvolutionaryScale |
| Availability | GA — Claude Science research skill |
| Pricing | Free / OSS (MIT code; model weights per Meta AI terms) |
| Capabilities | Read/Write — writes predicted structures (PDB) with pLDDT |
| Verified | works · 2026-07-20 |
| Security | caution · 2026-07-20 — featured Claude Science skill, MIT, but self-host facebookresearch/esm repo is archived/unmaintained |
How to install
- Claude Science — enable the built-in ESMFold 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/facebookresearch/esmFollow the repo README for environment setup and model weights.
What it does
Runs ESMFold (built on the ESM-2 protein language model) to fold single sequences without an MSA. Uses local inference, or the ESM Atlas fold API (api.esmatlas.com/foldSequence/v1/pdb/) for quick one-off predictions.
Primary use cases: Fast single-sequence folding, high-throughput proteome folding, orphan-protein modelling
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.
For embeddings and generative ESM3 / ESM C design see the broader ESM skill; this entry covers ESMFold structure prediction.
Sources
- facebookresearch/esm
- ESM Atlas
- Lin et al. 2023, Science
- Anthropic — Claude Science: Connectors and skills
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