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
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
Doshi U., Hamelberg D., (2015). Towards fast, rigorous and efficient conformational sampling of biomolecules: advances in Accelerated Molecular Dynamics. Biochimica et Biophysica Acta (BBA) - General Subjects, 1850, 878-888
Barman A., Hamelberg D., (2015). Loss of intramolecular electrostatic interactions and limited conformational ensemble may promote self-association of cis–tau peptide. Proteins: Structure, Function, and Bioinformatics, 83, 436–444
Barman A., Hamelberg D., (2014). Cysteine-Mediated Dynamic Hydrogen-Bonding Network in the Active Site of Pin1. Biochemistry, 53, 3839–3850
Tork-Ladani S., Hamelberg D., (2014). Intricacies of interactions, dynamics and solvent effects in enzyme catalysis: a computational perspective on cyclophilin A. Molecular Simulation, 40, 765-776