Symposium on AI in Protein Structure, Function, and Discovery
University of Utah - All day symposium featuring talks from internal and external speakers on AI in Protein Structure, Function, and Discovery
Registration is free but required to attend. Lunch will be provided for registered attendees - register by May 28 to guarantee lunch.
In person only - not streamed or recorded.
Recent advances in artificial intelligence have transformed protein structure prediction and protein design, enabling accurate modeling of protein complexes, in silico discovery of previously unrecognized molecular interactions, and rational design of small-molecule and protein binders.
This conference will showcase exciting developments from researchers at the University of Utah and beyond. The meeting will include invited and contributed talks and a poster session.
Including talks from:
Qian Cong (UT Southwestern),
Roland Dunbrack (Fox Chase Cancer Center),
Marta Fay (Recursion),
Neil King (U of Washington)