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Abstract
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. Boltz-2 introduces controllability features including experimental method conditioning, distance constraints, and multi-chain template integration for structure prediction, and is, to our knowledge, the first AI model to approach the performance of free-energy perturbation (FEP) methods in estimating small molecule–protein binding affinity. Crucially, it achieves strong correlation with experimental readouts on many benchmarks, while being at least 1000
×
more computationally efficient than FEP. By coupling Boltz-2 with a generative model for small molecules, we demonstrate an effective workflow to find diverse, synthesizable, high-affinity binders, as estimated by absolute FEP simulations on the TYK2 target. To foster broad adoption and further innovation at the intersection of machine learning and biology, we are releasing Boltz-2 weights, inference, and training code
1
under a permissive open license, providing a robust and extensible foundation for both academic and industrial research.
Academic Publication Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction
Research Abstract & Technology Focus
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Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction
Abstract Accurately modeling biomolecular interactions is a central challenge in modern biology. While recent advances, such as AlphaFold3 and Boltz-1, have subst...
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Frequently Asked Questions (FAQ)
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What is the core focus of the research titled 'Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction'?
This literature focuses on: Abstract 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 biomolecu...
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What other academic literature is closely related to 'Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction'?
Yes, highly correlated activity was mapped. An entry titled 'Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction' discusses this: Abstract Accurately modeling biomolecular interactions is a central challenge in modern biology. While recent ad...
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GitHubnidhinjs/prompt-master
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GitHubpixel-point/aval
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Product HuntX-Pilot
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Product HuntGrok Voice API