Charles L. Brooks III is Warner-Lambert/Parke-Davis Professor of Chemistry and a professor of Biophysics. He completed his Ph.D. at Purdue University and did his postdoc at Harvard University.
Research in the group of Charles L. Brooks III in the Department of Chemistry and Biophysics Program at the University of Michigan is focused on the application of statistical mechanics, quantum chemistry and computational methods to chemically and physically oriented problems in biology.
Current research interests include:
- multi-scale modeling applied to dynamics and assembly of complex biological assemblies
- development of constant pH molecular dynamics with applications to pH dependent conformational changesRNA structure, function and folding processes using all atom and coarse-grained models
- free energy based methods for inhibitor screening and optimization
- coupling between protein motion and enzyme catalysis in DHFR, AdK, DNA polymerasescoarse-grained modeling of molecular machines: ribosome, viruses, helicases
- development of new polarizable force fields for proteins, lipids and small molecules
- protein folding and protein structure prediction
LS Ahlstrom, SM Law, A Dickson and CL Brooks III. Multiscale Modeling of a Conditionally Disordered pH-Sensing Chaperone. J Mol Biol, 2015, 427:1670-80.
K Armacost, GB Goh and CL Brooks III. Biasing Potential Replica Exchange Multi-Site λ-Dynamics for Efficient Free Energy Calculations. J Chem Theor Comp, 2015, 11:1267-77.
M Carrillo-Tripp, DJ Montiel-Garcia, CL Brooks III and VS Reddy. CapsidMaps: Protein-protein interaction pattern discovery platform for the structural analysis of virus capsids using Google Maps. J Struct Biol, 2015, 190:47-55.
S Cheng, Y Zhang and CL Brooks III. PCalign: a method to quantify physicochemical similarity of protein-protein interfaces. BMC Bioinformatics, 2015, 16:33.
AT Frank, SM Law, LS Ahlstrom and CL Brooks III. Predicting Protein Backbone Chemical Shifts From Calpha Coordinates: Extracting High Resolution Experimental Observables from Low Resolution Models. J Chem Theor Comput, 2015, 11:325-331.