Boltz-2
Open structure and binding-affinity prediction model, MIT for code and weights.
Developer: Wohlwend, Corso, Passaro et al. (MIT CSAIL) / boltz.bio
Overview
- Developer
- Wohlwend, Corso, Passaro et al. (MIT CSAIL) / boltz.bio
- Category
- Structure and complex prediction
- Commercial rights
- Commercial OK
- Commercial cost
- Free commercially
- Compute
- Single GPU
- Open weights
- Yes
- Last verified
Capabilities
Open AlphaFold3-class structure prediction plus binding affinity. Input: YAML/FASTA with protein, ligand and nucleic-acid chains, optional templates and affinity query; output: predicted complex with confidence scores and a predicted binding affinity value for the ligand.
When to use it
The pragmatic commercial substitute for AlphaFold 3, with an affinity-prediction head. Its affinity outputs are predictions, not measured KD, and should only be used to rank, never to report numbers.
Input / Output
- Input
- YAML/FASTA with protein, ligand and nucleic-acid chains, optional templates and affinity query
- Output
- predicted complex with confidence scores and a predicted binding affinity value for the ligand
Compute
Single GPU. Other tools with this compute profile →
Commercial Licensing
Commercial rights — may a company use it?
Commercial use OKLicence as writtenMIT License
LICENSE file is MIT and the README states explicitly that all code and weights are MIT, freely usable for academic and commercial purposes.
The licence read at the source allows use by a company. Attribution or copyleft conditions may still apply — read the note.
Commercial cost — is commercial use free of charge?
Free for commercial useFree, and cleanly so: MIT covers both code and weights, which is why it is the usual commercial replacement for AlphaFold 3.
Price and rights are separate: this panel is about money, the panel above is about permission.
- Commercial OK ≠ Free of charge. A tool can be licensed for company use and still need a paid licence for a dependency (BindCraft → PyRosetta).
- Free download ≠ Commercially licensed. Weights you can download at no cost may still forbid commercial use (AlphaFold 3).
- Unverified ≠ Commercially permitted. If no published statement settles it, treat it as unknown — not as a yes.
- Every component counts. Each status considers the code licence, the model-weights terms, required dependencies and any terms of use.
Model Weights
Open weights. A separate weights licence is Not documented as its own field; where weights carry different terms from the code, that is stated in the licence explanation above.
Dependencies
Not documented as a separate field. Any dependency that affects commercial use (for example a paid PyRosetta licence) is named in the licence and cost explanations above.
Official References
- Official site / repo
- github.com/jwohlwend/boltz
From the makers of FoldScout
From AI Design to Wet-Lab Validation
Designed a promising protein or antibody? Seq2Study helps translate AI-generated sequences into experimental data.
- Protein Expression
- Protein Purification
- Binding Affinity
- Aggregation Assessment
- Stability Evaluation
- Developability Assessment
Get told when a licence changes
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