This project has two major objectives (1) development of new technology for computational modeling of metalloprotein active sites; (2) application of the methods to biologically important problems. Methodology development is focused on ab initio quantum chemistry, mixed quantum mechanical/classical mechanical simulation techniques, continuum solvation models, evaluation of free energy differences, and new algorithms for sampling large scale conformational changes. Metalloproteins to be studied in this granting period include methane monooxygenase, hemerythrin, cytochrome P450, myoglobin, hemoglobin, ribonucelotide reductase, and various iron-sulfur proteins. We also propose to initiate an effort to apply our method to the study of small metal containing molecules, such as cisplatin (a major anticancer drug), binding to DNA. Results to be obtained from the calculations include characterization of reactant and product structures, reactive intermediates, and transition states at an atomic level of detail, as well as computation of enthalpies land free energies for these various species.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM040526-19
Application #
7085419
Study Section
Molecular and Cellular Biophysics Study Section (BBCA)
Program Officer
Wehrle, Janna P
Project Start
1988-07-01
Project End
2008-04-30
Budget Start
2006-07-01
Budget End
2008-04-30
Support Year
19
Fiscal Year
2006
Total Cost
$244,611
Indirect Cost
Name
Columbia University (N.Y.)
Department
Chemistry
Type
Other Domestic Higher Education
DUNS #
049179401
City
New York
State
NY
Country
United States
Zip Code
10027
Friesner, Richard A; Abel, Robert; Goldfeld, Dahlia A et al. (2013) Computational methods for high resolution prediction and refinement of protein structures. Curr Opin Struct Biol 23:177-84
Zeiske, Tim; Stafford, Kate A; Friesner, Richard A et al. (2013) Starting-structure dependence of nanosecond timescale intersubstate transitions and reproducibility of MD-derived order parameters. Proteins 81:499-509
Miller, Edward B; Murrett, Colleen S; Zhu, Kai et al. (2013) Prediction of Long Loops with Embedded Secondary Structure using the Protein Local Optimization Program. J Chem Theory Comput 9:1846-4864
Li, Jianing; Abel, Robert; Zhu, Kai et al. (2011) The VSGB 2.0 model: a next generation energy model for high resolution protein structure modeling. Proteins 79:2794-812
Li, Jianing; Schneebeli, Severin T; Bylund, Joseph et al. (2011) IDSite: An accurate approach to predict P450-mediated drug metabolism. J Chem Theory Comput 7:3829-3845
Bochevarov, Arteum D; Li, Jianing; Song, Woon Ju et al. (2011) Insights into the different dioxygen activation pathways of methane and toluene monooxygenase hydroxylases. J Am Chem Soc 133:7384-97
Wang, Lingle; Friesner, Richard A; Berne, B J (2011) Replica exchange with solute scaling: a more efficient version of replica exchange with solute tempering (REST2). J Phys Chem B 115:9431-8
Bochevarov, Arteum D; Friesner, Richard A; Lippard, Stephen J (2010) The prediction of Fe Mössbauer parameters by the density functional theory: a benchmark study. J Chem Theory Comput 6:3735-3749
Hall, Michelle Lynn; Goldfeld, Dahlia A; Bochevarov, Arteum D et al. (2009) Localized orbital corrections for the calculation of barrier heights in density functional theory. J Chem Theory Comput 5:2996-3009
Schneebeli, Severin T; Hall, Michelle Lynn; Breslow, Ronald et al. (2009) Quantitative DFT modeling of the enantiomeric excess for dioxirane-catalyzed epoxidations. J Am Chem Soc 131:3965-73

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