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<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>

George lisiJennifer cuiBrenda rubensteinNature communications onBrown universityMethod of researchNature communicationsBlavatnik family foundationGabriel monteiroBlavatnik family fellows