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Brown researchers leverage AI to predict protein conformations

Protein Dynamics Forecasting Technique Could Revolutionize Drug Discovery

AI-powered method predicts protein dynamics to accelerate drug discovery

Understanding the structure of proteins is critical for demystifying their functions and developing drugs that target them.

New technique for predicting protein dynamics

<p>Understanding the structure of proteins is critical for demystifying their functions and developing drugs that target them. To that end, a team of researchers at Brown University has developed a way of using machine learning to rapidly predict multiple protein configurations to advance understanding of protein dynamics and functions. A&nbsp;<a href="https://www.nature.com/articles/s41467-024-46715-9">study</a>&nbsp;describing the approach was published in Nature Communications on Wednesday, March 27. The authors say the technique is accurate, fast, cost-effective and has the potential to revolutionize drug discovery by uncovering many more targets for new treatments.</p>

NIH awards Brown $10.8M to expand data-informed research to fight human disease