Use Boltz-1 (AlphaFold3)
Official Neurosnap webserver for accessing Boltz-1 (AlphaFold3) online.
Overview
Boltz-1 and Boltz-1x are open-source deep learning models achieving AlphaFold3-level accuracy in predicting the 3D structures of biomolecular complexes. Incorporating innovations in model architecture, data processing, and confidence prediction, Boltz-1 democratizes access to state-of-the-art tools for modeling biomolecular interactions. Released under the MIT license, Boltz-1 empowers researchers with comprehensive training code, model weights, and datasets to accelerate discoveries in drug design and structural biology.
Neurosnap Overview
The Boltz-1 (AlphaFold3) online webserver allows anybody with a Neurosnap account to run and access Boltz-1 (AlphaFold3), no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong terms of service and privacy policy.
View PaperFeatures
- Achieves AlphaFold3-level accuracy for predicting 3D biomolecular complex structures.
- Supports diverse biomolecular systems, including proteins, nucleic acids, and small molecules.
- Innovative algorithms for MSA pairing, pocket-conditioning, and unified cropping.
- Optimized confidence model for reliable biomolecular interaction predictions.
- Significant speed and computational efficiency improvements over comparable models.
- Extensive benchmark validation on CASP15 and curated test sets.
- Supports the newer Boltz-1x version of the model.
Statistics
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API Request
Access Boltz-1 (AlphaFold3) using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
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Video Tutorial
The following youtube video describes how to use Boltz-1 (AlphaFold3) using Neurosnap's online webserver. If you have any questions or want to suggest improvements for future tutorials please contact us here.
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