Ph.D. Program in Structural and
Computational Biology and
Molecular Biophysics

Vincent J. Hilser

Vincent J. Hilser

University of Texas Medical Branch - Galveston

Department: Human Biological Chemistry & Genetics
Address: 5.104 Medical Research Bldg.
Galveston, Texas 77555-1068
Phone: (409) 747-6813
Fax: (409) 747.6816
Email: vjhilser@utmb.edu
Web: www.hbcg.utmb.edu/hilser/index.htm

Education

B.S., Chemistry, St. John's University
M.S., Biotechnology, Manhattan College
Ph.D., Biochemistry, Johns Hopkins University
Post-Doctoral Fellow, Johns Hopkins University

Honors

2005 Michael and Kate B�r�ny Young Investigator Award, Biophysical Society

2002 Educator Award for Human Biological Chemistry and Genetics, University of Texas Medical Branch

1999 CAREER Award, National Science Foundation

1997 Finn Wold Young Faculty Travel Award, Protein Society

1996 Finn Wold Post Doctoral Travel Award, Protein Society

1995 Post-Doctoral Fellowship, Monsanto Corporation

1991 Excellence in Research Award, Sigma Xi Honor Society - Manhattan College Chapter

Research Topic

Experimental and theoretical studies of protein structure and dynamics.

Research Description

Research in our lab is focused on the experimental characterization of conformational fluctuations, the development and refinement of a general ensemble-based model for fluctuations, and the projection of this thermodynamic model into genomic analysis. Our goals are to unify the description of protein behaviors in such a way as to understand their relationships at the phenomenological level, to codify these relationships in a simple structure-based model, and to apply our model to a number of experimental systems that can be used to test and refine our approach.

Current research projects in the lab focus on four areas. First, we are using calorimetry, hydrogen exchange and NMR relaxation to investigate the role of dynamics in binding for two model systems, the C-terminal SH3 domain of SEM5 and dihydrofolate reductase. Second, we are monitoring the binding of SEM5 SH3 domain to the Sos peptide using titration calorimetry and NMR in order to investigate the conformational bias of unfolded proteins and peptides for the polyproline II conformation. Third, we are using our unique ensemble-based computational approach, COREX/BEST, to investigate the physical basis of energy propagation and signal transduction in proteins. Fourth, we are developing a protein fold classification scheme that is based on a thermodynamic rather than a structural description of proteins.

Selected Publications

Lab Members

Lab Photos

Hilser lab

Last edited on: September 21, 2009