Faculty :
R. Kulkarni;
B. Schmittmann;
U.C. Täuber;
R. K. P. Zia
Affiliate Faculty :
A. Onufriev
Theoretical investigations are being carried out on biological systems
at several scales using both analytical and computational tools. In some
cases, the work involves close collaboration with experimental
colleagues from the Biological Sciences and Chemical Engineering
Departments at Virginia Tech. Research interests include modeling
regulatory networks (with emphasis on bacterial quorum-sensing
networks), modeling subcellular protein localization in bacteria,
regulation of and by small RNAs, population dynamics models, kinetics of
ligand binding processes, modeling the dynamics and functions of large
biomolecular systems, and applications of models from statistical
physics to biological problems. Analytical approaches include classical
Landau-Ginzburg theory, stochastic modeling as well as modern techniques
such as field theoretic renormalization group analysis. Computational
approaches include numerical solutions of Master and Langevin equations,
stochastic simulations using the Gillespie algorithm, Monte Carlo
simulations of model systems, molecular dynamics, and bioinformatics.
The research of this group is supported by NSF, NATO, the Jeffress
Memorial Fund, the Virginia Tech ASPIRES program, and a Ralph E. Powe
Junior Faculty Enhancement Award from Oak Ridge Associated Universities.
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