Associate Professor (Sept. 2020), Chemistry Department, Brooklyn College, The City University of New York
Ph.D. Chemical Physics (1996), Columbia University, New York, NY
My background is in statistical thermodynamic theory and computational modeling. My laboratory is primarily involved in the development and application of molecular computational models of protein-drug binding and macromolecular molecular recognition phenomena. The overall aim of the research is to deploy sophisticated molecular theories, efficient algorithms, and powerful computers to characterize fundamental chemical and biological mechanisms and work with colleagues to help address human health issues. The specific application area we are currently targeting is the computational screening of potential drugs against protein receptors using massive atomistic computer simulations and accurate free energy models. Computer models are nowadays an important and established component of modern and interdisciplinary structure-based drug discovery programs. The advanced molecular dynamics-based binding free energy methods that we target, in particular, are attractive because they can yield estimates of binding constants useful for ranking the inhibitory potency of drug candidates and for direct comparison to binding affinity measurements. Computational studies of this kind yield valuable information about the energetic, structural, and dynamical behavior of drug-receptor complexes to complement medicinal chemistry efforts. Our research is intrinsically collaborative and interdisciplinary. As illustrated by the published works below, we regularly partner with medicinal chemistry laboratories to increase the chance of success of drug discovery programs against viral infections, cancer, and drug addiction among others.
Selected Recent Publications
Grants over the last 5 years
Emilio Gallicchio, PI