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 Alumni Hall - Eccles Health Sciences Education Building Registration is free but required to attend. Lunch will be provided for registered attendees - register by June 5th to guarantee lunch. 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. Schedule: 8:15a - Breakfast Session I - Structure 9am - Opening remarks 9:10am - Jeff Swan (Hill lab, Biochem.) “Mechanistic classification of ATPases using protein language models” 9:30am - Anastasiya Kulikova (Safavi Lab, Biochem.) "Predicting Neuropeptides with Protein Language Models" 9:50am - Danielle Yama (Horvath Lab, Bio. Sciences) “How AI Illuminated Two Evolutionary Solutions for the DNA Base Excision Repair Enzyme MutY” 10:10a - Roland Dunbrack (Fox Chase Cancer Center) “ipSAE: Scoring inter- and intramolecular interactions of proteins in AlphaFold-like programs” 10:35a - coffee break/poster session Session II - Screening 11:00a - Babs Jetton (Bosch Lab, Human Genetics) "Au…