Publications by authors named "Saro Passaro"
Accurately modeling biomolecular interactions is a central challenge in modern biology. While recent advances, such as AlphaFold3 and Boltz-1, have substantially improved our ability to predict biomolecular complex structures, these models still fall short in predicting binding affinity, a critical property underlying molecular function and therapeutic efficacy. Here, we present Boltz-2, a new structural biology foundation model that exhibits strong performance for both structure and affinity prediction.
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- Understanding biomolecular interactions is crucial for drug discovery and protein design, and this paper presents Boltz-1, an open-source deep learning model with innovations that achieve high accuracy in predicting 3D structures of biomolecular complexes.
- Boltz-1 competes with top commercial models on various benchmarks, setting a new standard for accessible tools in structural biology.
- The paper introduces Boltz-steering, a technique to improve model predictions by addressing inaccuracies, and aims to promote global collaboration by sharing all related code and data under an open license.