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Design of New Protein Functions Using Deep Learning

David Baker

Summit Flex Hall ABC
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Thu 20 Jun 2:45 p.m. PDT — 3:45 p.m. PDT


Proteins mediate the critical processes of life and beautifully solve the challenges faced during the evolution of modern organisms. Our goal is to design a new generation of proteins that address current-day problems not faced during evolution. In contrast to traditional protein engineering efforts, which have focused on modifying naturally occurring proteins, we design new proteins from scratch to optimally solve the problem at hand. Increasingly, we develop and use deep learning methods to design amino acid sequences that are predicted to fold to desired structures and functions. We also produce synthetic genes encoding these sequences and characterize them experimentally. In this talk, I will describe several recent advances in protein design.

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