New Approaches in Protein Structure Modeling Applications Professor Yaohang Li Department of Compute Science North Carolina A&T State University February 19, 2010 (Friday) 10:00AM Donuts; 10:15 -11:30 AM Talk First floor auditorium, EC&S Building Accurately modeling protein or protein complex structure is considered one of the most significant grand challenges that have broad economic and scientific impact. Since Anfinsen's thermodynamic hypothesis is formulated, according to which the native structure conformation has the minimum free energy of all accessible conformations, the ab initio protein structure modeling efforts are focused on globally optimizing a scoring (energy) function to find the native conformation. However, due to insensitivity and inaccuracy of the existing scoring functions used to describe protein conformational energy, ab initio approaches have low success rate in predicting models with satisfactory resolutions. In this talk, we present new computational approaches of integrating multiple physics- and knowledge-based scoring functions to improve protein structure modeling accuracy. Applications in protein loop structure modeling are also discussed. Bio: Yaohang Li is an Associate Professor in the Department of Computer Science at North Carolina A&T State University. His research interests are in Computational Biology, Markov Chain Monte Carlo (MCMC) methods and High Performance Computing. Yaohang Li received "Rookie of the Year" young investigator award at North Carolina A&T State University in 2005 and Ralph E. Powe young faculty award in Computer Science and Mathematics from Oak Ridge Associated Universities (ORAU) in 2005. He is the recipient of a National Science Foundation CAREER Award in 2009. He received the Ph.D. and M.S. degrees in Computer Science from the Florida State University in 2003 and 2000, respectively, and the B.S. degree in Computer Science and Engineering from the South China University of Technology in 1997.