2016
DOI: 10.1039/c6cp00395h
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QM/MM study ofl-lactate oxidation by flavocytochrome b2

Abstract: Free energy surfaces calculated from a state-of-the-art computational methodology highlight the role of active site residues in l-lactate oxidation by flavocytochrome b2.

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Cited by 10 publications
(7 citation statements)
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“…Conceptual DFT calculations and topological analysis of electron density, which have been applied to P450 and other enzymes [ 174 , 175 ], could provide unprecedented insight into the chemical properties of NOSox active site during oxidation [ [176] , [177] , [178] ]. Use of QM/MM and DFTB-QM/MM metadynamics might also be considered for studying electron transfer from the reductase to the oxygenase domain and identifying the key players involved in this process [ [179] , [180] , [181] ]. Overall, there is a wide range of possibilities for the study of NOS molecular mechanisms with molecular modeling and simulations, opening perspectives that could lead to important breakthroughs on this topic.…”
Section: Discussionmentioning
confidence: 99%
“…Conceptual DFT calculations and topological analysis of electron density, which have been applied to P450 and other enzymes [ 174 , 175 ], could provide unprecedented insight into the chemical properties of NOSox active site during oxidation [ [176] , [177] , [178] ]. Use of QM/MM and DFTB-QM/MM metadynamics might also be considered for studying electron transfer from the reductase to the oxygenase domain and identifying the key players involved in this process [ [179] , [180] , [181] ]. Overall, there is a wide range of possibilities for the study of NOS molecular mechanisms with molecular modeling and simulations, opening perspectives that could lead to important breakthroughs on this topic.…”
Section: Discussionmentioning
confidence: 99%
“…Oxidation of amines has been analyzed using deuterium and nitrogen isotope effects, and the results are consistent with hydride transfer from the neutral amine [6]. A number of computational studies support these mechanisms [712]. …”
mentioning
confidence: 93%
“…In order to achieve time scales relevant to biological processes, a classical interaction potential, or force field, is typically used. Although approximate, these models are a vital part of developing the mechanistic, thermodynamic, and kinetic understanding of biological phenomena including but not limited to enzyme catalysis, protein folding, protein–ligand binding, and protein conformational change. The results of these studies strongly depend on the accuracy of the underlying force field. While there have been noteworthy simulations on protein dynamics using a quantum chemical potential energy surface, these are still incapable of realizing dynamics on the biologically relevant time scales (ns and beyond) for larger proteins (200 residues and beyond).…”
Section: Introductionmentioning
confidence: 99%