This proposal describes continued development of molecular simulation techniques, correlated ab initio quantum chemical methods, and new force fields, and application of these developments to studying the photosynthetic bacterial reaction center. Novel electronic structure methods, multiple timescale simulation methods, and continuum dielectric methods will allow high accuracy to be obtained for the large reaction center protein and its constituent bacteriochlorophyll chromophores. The project has a number of specific goals. Firstly, we will determine the energies of the chromophores in their neutral ground state, excited state, and charged states, as well as off-diagonal electronic couplings between diabetic states, in the protein environment. This will allow the basic mechanism of charge separation to be effectively addressed (e.g. what is the role of the intermediate bacteriochlorophyll) and will provide an explanation as to why the M branch of the reaction center is inactive. Secondly, we will use molecular dynamics and quantum dynamical methods to calculate the electron transfer rate constants for both wild type and mutant reaction centers, employing parameters obtained from high level quantum chemistry. Finally, we will continue our studies of reaction center spectroscopy, incorporating information from quantum chemical excited state calculations and including additional experiments (e.g. resonance Raman) in our lineshape simulation analysis. From these efforts, a detailed molecular level understanding of the mechanism of primary charge separation in bacterial photosynthesis will emerge. There will be a strong emphasis on cross checks of both quantum chemistry and parametrized models by insisting upon extensive comparison with spectroscopic and dynamical experiments on mutant reaction centers. The methodology developed in the course of this effort will be useful in the study of other metalloprotein systems, particularly those involved in electron transfer.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM040526-10
Application #
2444691
Study Section
Special Emphasis Panel (ZRG3-BMT (01))
Project Start
1988-07-01
Project End
1999-06-30
Budget Start
1997-07-01
Budget End
1998-06-30
Support Year
10
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Columbia University (N.Y.)
Department
Chemistry
Type
Other Domestic Higher Education
DUNS #
064931884
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
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
Tian, Li; Friesner, Richard A (2009) QM/MM Simulation on P450 BM3 Enzyme Catalysis Mechanism. J Chem Theory Comput 5:1421-1431

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