A team of MIT researchers has introduced Boltz-1, the first open-source and commercially accessible model that matches AlphaFold3-level accuracy in predicting biomolecular complexes. Unlike its predecessors, Boltz-1 is fully accessible to the public, with the model weights, training, and inference code released under the MIT license. This openness aims to foster global collaboration and advance biomolecular modeling. Boltz-1 follows the general framework used in AlphaFold3 but introduces several architectural and procedural innovations, including new multiple sequence alignment (MSA) pairing algorithms, a unified cropping approach for efficient training, and an enhanced confidence model. These innovations allow Boltz-1 to deliver high accuracy while remaining accessible and significantly lowering the computational burden. Read the full article here: www.marktechpost.com/2024/11/17/mit-researchers-propose-boltz-1-the-first-open-source-ai-model-achieving-alphafold3-level-accuracy-in-biomolecular-structure-prediction/ Paper: gcorso.github.io/assets/boltz1.pdf Model and Codes: github.com/jwohlwend/boltz Audio Created by NotebookLLM and reviewed by real human 👉 Don’t Forget to join our 55k+ ML SubReddit: www.reddit.com/r/machinelearningnews/ ⚓ Feel free to subscribe to our AI Research Newsletter read by 30k+ AI and Data Professionals: airesearchinsights.com/subscribe
A team of MIT researchers has introduced Boltz-1, the first open-source and commercially accessible model that matches AlphaFold3-level accuracy in predicting biomolecular complexes. Unlike its predecessors, Boltz-1 is fully accessible to the public, with the model weights, training, and inference code released under the MIT license. This openness aims to foster global collaboration and advance biomolecular modeling.
Boltz-1 follows the general framework used in AlphaFold3 but introduces several architectural and procedural innovations, including new multiple sequence alignment (MSA) pairing algorithms, a unified cropping approach for efficient training, and an enhanced confidence model. These innovations allow Boltz-1 to deliver high accuracy while remaining accessible and significantly lowering the computational burden.
Read the full article here: www.marktechpost.com/2024/11/17/mit-researchers-propose-boltz-1-the-first-open-source-ai-model-achieving-alphafold3-level-accuracy-in-biomolecular-structure-prediction/
Paper: gcorso.github.io/assets/boltz1.pdf
Model and Codes: github.com/jwohlwend/boltz
Audio Created by NotebookLLM and reviewed by real human
👉 Don’t Forget to join our 55k+ ML SubReddit: www.reddit.com/r/machinelearningnews/
⚓ Feel free to subscribe to our AI Research Newsletter read by 30k+ AI and Data Professionals: airesearchinsights.com/subscribe
What a time to be alive!
I’m disappointed in myself for not realizing this was AI generated until the last 2 minutes.