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.
The event is primarily in-person, but we have opened up the talks to zoom to prevent overcrowding. Link to register for zoom webinar: https://utah.zoom.us/webinar/register/WN_41l_NfPKSoeqQDcE0a4hoA
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) "Automated protein structure prediction workflows enable large-scale in-silico mapping of inter-organ communication”
11:20a - Nick Hubbard (Elde Lab, Human Genetics) “Structural Predictions Reveal Hidden Functions: AlphaFold Identifies IL18BP-Mediated Fractalkine Antagonism in Poxvirus”
11:40a - Josh Andersen (Onc. Sci.) “AlphaFold screening for phosphorylation-dependent protein-protein interactions”
12:00p - Qian Cong (UT Southwestern) “The AI Revolution in Protein Science: From Prediction to Discovery”
Highlights - AI initiatives and infrastructure at Utah
12:25p - Chris Hill (Biochem.) “AI initiatives at Utah”
12:30p - Martin Cuma (CHPC) “Biomolecular structure prediction with AI at the CHPC”
Poster session / Box Lunch
12:35p - In EHSB atrium
Session III - Design/Engineering
1:30p - Nate Levinzon (Cheatham Lab, Med. Chem.) “Towards Foundation Models of Protein Allostery”
1:50p - Dallin Billings (Myers Lab, Onc. Sci.) “AlphaFold-Guided Dissection of Regulatory Mechanisms in Hedgehog Signaling”
2:10p - Will Foreman (Starr Lab, Biochem.) "Keeping up with viral evolution: Fine-tuning protein language models to predict antibody mutational effects"
2:30p - Marta Fay (Recursion) “Decoding Biology at Scale: The AI Drug Discovery Revolution”
2:55p - coffee break/poster session
Keynote
3:20p - Neil King (U of Washington) "De novo nanoparticle and glycoprotein design"
4:00p - Concluding remarks
See also a workshop on AlphaFold on June 24th hosted by Roland Dunbrack: https://luma.com/8ktichye
Organized by:
Ben Myers (Oncological Sciences)
Josh Andersen (Oncological Sciences)
Owen Pornillos (Biochemistry)
Justin Bosch (Human Genetics)
Financial Support from:
Data Science at HCI
Oncological Sciences Department
Biochemistry Department
Medicinal Chemistry Department
Human Genetics Department
Huntsman Cancer Institute
Recursion