Boltz-1
A family of open-source deep learning models for accurate biomolecular interaction and binding affinity prediction, rivaling AlphaFold3 and physics-based methods.
What is Boltz-1?
Boltz is a family of open-source deep learning models for predicting biomolecular interactions, including 3D structures and binding affinities. It solves the problem of expensive and inaccessible computational biology tools by providing accurate, fast, and freely available models that rival proprietary solutions like AlphaFold3 and physics-based methods.
Computational biologists, drug discovery researchers, and bioinformaticians who need accurate and efficient in silico screening for early-stage drug discovery and biomolecular interaction analysis.
Developers choose Boltz because it offers state-of-the-art accuracy comparable to AlphaFold3 and physics-based FEP methods, but with 1000x faster inference speeds and full open-source availability under a permissive MIT license, enabling both academic and commercial applications without restrictions.
Overview
Official repository for the Boltz biomolecular interaction models
Use Cases
Best For
- Early-stage virtual screening for drug discovery projects
Related Projects
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