Computational Life Sciences and Biology
Texas A and M University
United States of America
Ron Elber earned his Ph.D in theoretical chemistry from Hebrew University. He is professor of chemistry and biochemistry, director of the ICES Center for Computational Life Sciences and Biology, and holds the W. A. “Tex” Moncrief, Jr. Chair in Computational Life Sciences and Biology. His research focuses on modeling proteins with biophysics and bioinformatics. In biophysics, his interests are in developing algorithms to extend time scales of simulations. Critical time scales in molecular biophysics cover 15 orders of magnitude, from femtoseconds (light absorption and initiation of vision) to hours (slow permeation processes through membranes). He has developed an algorithm (Milestoning) that extracts information from short-time dynamics and constructs a model for long-time processes. Elber’s theories and algorithms are implemented in the software package MOIL.
Network of sequence flow between protein structures and model protein-protein interactions.
Viswanath S, Ravikant DV, Elber R. Improving ranking of models for protein complexes with side chain modeling and atomic potentials. Proteins: Structure, Function, and Bioinformatics. 2013 Apr 1;81(4):592-606.
Ruymgaart AP, Cardenas AE, Elber R. MOIL-opt: Energy-Conserving Molecular Dynamics on a GPU/CPU system. Journal of chemical theory and computation. 2011 Sep 7;7(10):3072-82.
Májek P, Elber R. A coarse‐grained potential for fold recognition and molecular dynamics simulations of proteins. Proteins: Structure, Function, and Bioinformatics. 2009 Sep 1;76(4):822-36.