Researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures

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"Developed by a team of researchers in the MIT Jameel Clinic for Machine Learning in Health, Boltz-1 is the first fully open-source model that achieves state-of-the-art performance at the level of AlphaFold3, the model from Google DeepMind that predicts the 3D structures of proteins and other biological molecules. ..."

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 introduce Boltz-1, a fully open-source model for predicting biomolecular structures | MIT News | Massachusetts Institute of Technology "With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly."

Boltz-1: Democratizing Biomolecular Interaction Modeling (open access)