Machine Learning Algorithms for Structural and Functional Genomics

About this Class

coming Monday we'll be having a guest lecture by Dr. Jian Peng from UIUC. Abstract: Recent advances in functional genomics have enabled large-scale measurements of molecular interactions, functional activities, and the impact of genetic perturbations. Integrating evolutionary couplings, structural patterns, and functional annotations from high-throughput measurements will enhance our capability to predict molecular function, discover their roles in biological processes underlying diseases, and develop novel therapeutics. In this talk, I will first present a few deep learning algorithms for protein structure prediction and sequence-to-function mapping for protein engineering and antibody design. I will also describe our most recent work on small-molecule structure prediction and property prediction with applications to drug discovery. Bio: Jian Peng is an Associate Professor of Computer Science at the University of Illinois at Urbana-Champaign. Before joining Illinois, Jian was a postdoc at CSAIL at MIT and a visiting scientist at the Whitehead Institute for Biomedical Research. He obtained his Ph.D. in Computer Science from Toyota Technological Institute at Chicago in 2013. His research interests include bioinformatics, cheminformatics, and machine learning. Algorithms developed by Jian and his co-workers were successful in several scientific challenges, including the Critical Assessment of Protein Structure Prediction (CASP) competitions and a few DREAM challenges on translational medicine and pharmacogenomics. Recently, Jian has received an Overton Prize, an NSF CAREER Award, a PhRMA Foundation Award, and an Alfred P. Sloan Research Fellowship. Join Zoom Meeting https://umd.zoom.us/j/91843071125 Meeting ID: 918 4307 1125 One tap mobile +13017158592,,91843071125# US (Washington DC) +19294362866,,91843071125# US (New York)