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Explore cutting-edge protein design methodologies in this distinguished lecture by Nobel laureate David Baker from the University of Washington. Learn how deep learning revolutionizes the creation of entirely new proteins from scratch, moving beyond traditional protein engineering approaches that modify existing natural proteins. Discover how machine learning methods predict amino acid sequences that fold into desired structures and functions, addressing modern challenges not encountered during natural evolution. Examine recent advances in computational protein design and their applications in medicine, technology, and sustainability. Understand the experimental validation process for synthetic genes encoding designed protein sequences and gain insights into the future of protein engineering from a leading researcher who has published over 650 scientific papers and co-founded 21 biotechnology companies.
