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EAN 2023 | AI in neurology: predicting protein structure

Tiago Outeiro, PhD, University Medical Center Göttingen, Göttingen, Germany, comments on the value of artificial intelligence for expediting progress in the field of neurodegenerative disease. Protein folding and, more specifically, protein misfolding, are of great relevance in neurological disease. The exact structural conformation of a protein dictates its function and in many neurodegenerative diseases, changes in a protein’s 3D structure lead to changes in stability and interactions, mislocalization, aggregation, and dysfunction. Understanding the basic rules defining protein folding and unfolding has been a focus of research for many years. Artificial intelligence is aiding in this quest by predicting the normal 3D structure of proteins and how this may change in different circumstances. Prof. Outeiro emphasizes that an improved capacity for prediction would revolutionize basic science and aid in the design of molecules able to intervene in the protein folding process. This interview took place at the European Academy of Neurology (EAN) 2023 Congress in Budapest, Hungary.

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