ESMFold
Single-sequence structure prediction with no MSA required.
Meta AI (FAIR) Evolutionary Scale Modeling
What it does
MSA-free structure prediction. Input: a single protein sequence; output: an all-atom PDB with pLDDT in seconds-to-minutes, no MSA search needed. Good for screening thousands of designed sequences; weaker than AlphaFold2 on natural targets.
Commercial use
Commercial use OKLicence as writtenMIT License
MIT LICENSE file in the facebookresearch/esm repo covering the released code and models.
The licence read at the source allows use by a company. Attribution or copyleft conditions may still apply — read the note.
Is commercial use free of charge?
Free for commercial useNothing to pay: the licence read at the source grants commercial use with no fee, and the code and weights are public downloads. You still pay for your own compute.
Price and rights are separate: this panel is about money, the panel above is about permission.
When to use it
Use when you need fast structures for thousands of sequences without MSAs, e.g. filtering design libraries. Less accurate than AF2/Boltz on hard targets and not a complex predictor.
Facts
- Maker
- Meta AI (FAIR) Evolutionary Scale Modeling
- Cost for commercial use
- Free for commercial use
- Category
- Structure and complex prediction
- Compute
- Single GPU
- Open weights
- Yes
- Licence
- MIT License
- Official site / repo
- github.com/facebookresearch/esm
- Paper
- science.org
- Last verified
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