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Enabling Protein Structure Prediction with Artificial Intelligence at Rutgers and Beyond
11/18
Enabling Protein Structure Prediction with Artificial Intelligence at Rutgers and BeyondThursday, December 9 2021 | 1:00pm - 6:00pm ET
Register for this virtual event at go.rutgers.edu/dlqx9nfb
Download Program
- Introductions: Stephen K. Burley, M.D., D.Phil.: Founding Director, Institute for Quantitative Biomedicine; J. Barr von Oehsen, Ph.D.: Associate Vice President, Office of Advanced Research Computing
- Welcome and Crash Course Learning Objectives: Michael E. Zwick, Ph.D.: Senior Vice President, Office of Research
- De Novo Protein Structure Prediction: Disruptive Transformation of Biology in 3D: Minkyung Baek, Ph.D.: University of Washington
- Primer on Artificial Intelligence: Statistical Underpinning and Vocabulary: Sijian Wang, Ph.D.: IQB; SAS-Statistics
- Potential for Impact on Research in Cell/Molecular, Cancer, and Structural Biology: Stephen K. Burley, M.D., D.Phil.: RCSB PDB; IQB; SAS-CCB; CINJ
- Experience with Applications in Single-particle Cryo-Electron Microscopy: Vasileios Petrou, Ph.D.: CII; RNJMS-MB&MG
- Experience with Applications in Computational Biology: Guillaume Lamoureux, Ph.D.: CCIB; CCAS-Chemistry
- Experience with Applications in SARS-CoV-2 Protease Modeling and Drug Discovery: Sagar Khare, Ph.D.: IQB; SAS-CCB; CINJ
- Primer: Getting Access to Rutgers Infrastructure (Amarel, AlphaFold2, RoseTTAFold): Balamurugan Desinghu, Ph.D.: OARC
- Hands On De Novo Protein Structure Prediction Tutorial
QUESTIONS? Contact Michelle Sanghera [email protected]
