Determination of enzymatic reaction pathways using QM/MM methods. International Journal of Quantum Chemistry, 93, 229

Autonomous University of Barcelona, Cerdanyola del Vallès, Catalonia, Spain
International Journal of Quantum Chemistry (Impact Factor: 1.43). 06/2003; 93(3):229 - 244. DOI: 10.1002/qua.10555


Enzymes are among the most powerful known catalysts. Understanding the functions of these proteins is one of the central goals of contemporary chemistry and biochemistry. But, because these systems are large they are difficult to handle using standard theoretical chemistry tools. In the last 10 years, we have seen the rapid development of so-called QM/MM methods that combined quantum chemistry and molecular mechanics to elucidate the structure and functions of systems with many degrees of freedom, including enzymatic systems. In this article, we review the numerical aspects of QM/MM methods applied to enzymes: The energy definition, the special treatment of the covalent QM/MM frontiers, and the exploration of QM/MM potential energy surface. A special emphasis is made on the use of local self-consistent field and rational function optimization. © 2003 Wiley Periodicals, Inc. Int J Quantum Chem 93: 229–244, 2003

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Available from: Gérald Monard
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    • "In silico methods, via both QM and molecular dynamics (MD) simulations, have been applied to analyze reaction mechanisms and reaction pathways in enzyme catalysis (Monard et al., 2003; Senn and Thiel, 2007; Karplus and Kuriyan, 2005). Previous QM molecular modeling of every step along the BG catalytic pathway identified specific amino acids that stabilize the substrate binding at various points during the enzymatic action (Badieyan et al., 2012; Wang et al., 2011). "
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