Coarse-Grained Modeling of Biomolecules

Garegin A. Papoian is the first Monroe Martin Professor with appointments in the Department of Chemistry and Biochemistry and the Institute for Physical Science and Technology at the University of Maryland. He was born in Yerevan, Armenia, and completed four years of undergraduate studies in the Higher College of the Russian Academy of Sciences, followed by graduate work with Professor Roald Hoffmann at Cornell University. He received his Ph.D. in 1999, working on quantum chemistry of intermetallic alloys and heterogenous catalysis. He then joined the research group of Professor Michael Klein at the University of Pennsylvania as a postdoctoral associate in 2000, to study metallo-enzymes with Car-Parrinello simulations. This was followed by a National Institutes of Health sponsored postdoctoral fellowship with Professor Peter Wolynes at University of California, San Diego, from 2001-2004, with research focused on protein folding, binding, and hydration. He started his independent group in 2004 as an Assistant Professor of Chemistry at the University of North Carolina at Chapel Hill, where he received tenure in 2010. He subsequently moved to the University of Maryland into his current position. He is interested in bringing tools of physical chemistry to shed light on complex biological processes at the molecular and cell levels. His group is currently working on developing physico-chemical models of cytoskeletal dynamics and cell motility, modeling the way DNA packs in cells of higher organisms, and studying protein functional dynamics and allostery. He is recipient of numerous awards, including: Phillip and Ruth Hettleman Prize for Artistic and Scholarly Achievement 2010; ACS Hewlett-Packard Outstanding Junior Faculty Award 2010; National Science Foundation CAREER Award 2009; Camille Dreyfus Teacher-Scholar 2008; Beckman Young Investigator 2007; Camille and Henry Dreyfus New Faculty Award 2004; and National Institutes of Health Postdoctoral Fellowship 2001.

Inverse Monte Carlo Methods. Thermodynamically Consistent Coarse-Graining of Polymers. Microscopic Physics-Based Models of Proteins and Nucleic Acids: UNRES and NARES. AWSEM-MD: Predicting Protein Structure and Function. Elastic Models of Biomolecules. Knowledge-Based Models: RNA. The Need for Computational Speed: State of the Art in DNA Coarse Graining. Coarse-Grained Modeling of Nucleosomes and Chromatin. Modeling of Genomes. Mechanics of Viruses.