2019.03.25 Computational modeling of the glycobiology of HIV: A multi-modal perspective

2019-07-07 01:01:17 2



    目:Computational modeling of the glycobiology of HIV:  A multi-modal perspective

报告人:Dr. David Green

Associate Professor and Graduate Program Director, Department of Applied Mathematics and Statistics, Stony Brook University



主持人:Dr. Lucas Carey


  The envelope glycoproteins of HIV and other enveloped retroviruses play essential roles in infection; while it has been well established that the carbohydrate component of these glycoproteins have significant functional impacts, our understanding of the structural and mechanistic underpinnings of these impacts is lacking.  We have been working towards a comprehensive understanding of the glycobiology of HIV using a multi-pronged computational approach. Long-time molecular dynamics simulations give insight into the impact of glycosylation on the structure and dynamics of the glycoprotein. Computational protein design yields candidates for therapeutic intervention as well as potential experimental reagents to probe function.  Bioinformatic analyses of HIV sequences provides information on the selective pressures active on the HIV glycome. Systems-level models of the glycosylation pathways in the ER and Golgi guide our understanding of the diversity of glycan types on the viral surface.  I will present a selection of work from these areas, and provide a synthesis of what we have learned, and what lies ahead.


Dr. David Green received his B.S. in Chemistry with a minor in English Literature at Simon Fraser University in 1997. Then he got his Ph.D. in Biological Chemistry at Massachusetts Institute of Technology in 2002. From 2002 to 2005, he took up a postdoc in Biological Engineering Division at Computer Science & Artificial Intelligence Laboratory of MIT. He is currently an associate professor and graduate program director of Department of Applied Mathematics and Statistics at Stony Brook University. His lab focuses on 1) development and application of novel methods for the computational study of carbohydrates and glycoproteins; 2) Application of computational approaches to the study of specificity in protein–protein interactions; 3) development and application of methods for protein interface design. For more information, please look though http://www.ams.sunysb.edu/~dfgreen/