Boltz-1: The First Open-Source AI Model Achieving AlphaFold3-Level Accuracy in Biomolecular Structure Prediction

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"... 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. ..."

From the abstract:

"Understanding biomolecular interactions is fundamental to advancing fields like drug discovery and protein design. In this paper, we introduce Boltz-1, an open-source deep learning model incorporating innovations in model architecture, speed optimization, and data processing achieving AlphaFold3-level accuracy in predicting the 3D structures of biomolecular complexes. Boltz-1 demonstrates a performance on-par with state-of-the-art commercial models on a range of diverse benchmarks, setting a new benchmark for commercially accessible tools in structural biology. By releasing the training and inference code, model weights, datasets, and benchmarks under the MIT open license, we aim to foster global collaboration, accelerate discoveries, and provide a robust platform for advancing biomolecular modeling"

MIT Researchers Propose Boltz-1: The First Open-Source AI Model Achieving AlphaFold3-Level Accuracy in Biomolecular Structure Prediction - MarkTechPost

https://gcorso.github.io/assets/boltz1.pdf (link to PDF file)