The research in our group focuses on the application and development of theoretical and computational methods with the intent of gaining an in-depth understanding of biomolecular switches. Many interactions in cell signaling pathways are mediated by intricate networks of interacting proteins and RNAs. Deregulation of these pathways could trigger cellular transformation, oncogenesis, and a host of other diseases. The research in our lab seeks to decipher the underlying principles governing cell signaling mechanisms and biomolecular interactions involving proteins and RNAs. In these endeavors, we use simulation based approaches, and related statistical mechanics, classical and quantum mechanical methods, as a complementary tool to experiments.
Recent Selected Publications
Ho K. C., Hamelberg D., (2016). Oscillatory Diffusion and Second-Order Cyclostationarity in Alanine Tripeptide from Molecular Dynamics Simulation. Journal of Chemical Theory and Computation, 12, 372–382
Rodriguez-Bussey I. G., Doshi U., Hamelberg D., (2016). Enhanced molecular dynamics sampling of drug target conformations. Biopolymers, 105, 35-42
Tork-Ladani S., Souffrant M. G.,Barman A., Hamelberg D., (2015). Computational perspective and evaluation of plausible catalytic mechanisms of peptidyl-prolyl cis-trans isomerases. Biochimica et Biophysica ACTA-General Subjects, 1850, 1994-2004
Barman A., Batiste B., Hamelberg D., (2015). Pushing the Limits of a Molecular Mechanics Force Field To Probe Weak CH-pi Interactions in Proteins. Journal of Chemical Theory and Computation, 11, 1854-1863
Velazquez H. A., Hamelberg D., (2015). Dynamical role of phosphorylation on serine/threonine-proline Pin1 substrates from constant force molecular dynamics simulations. Journal of Chemical Physics, 142, 075102