Literature DB >> 23557014

Combined quantum mechanics/molecular mechanics (QM/MM) methods in computational enzymology.

Marc W van der Kamp1, Adrian J Mulholland.   

Abstract

Computational enzymology is a rapidly maturing field that is increasingly integral to understanding mechanisms of enzyme-catalyzed reactions and their practical applications. Combined quantum mechanics/molecular mechanics (QM/MM) methods are important in this field. By treating the reacting species with a quantum mechanical method (i.e., a method that calculates the electronic structure of the active site) and including the enzyme environment with simpler molecular mechanical methods, enzyme reactions can be modeled. Here, we review QM/MM methods and their application to enzyme-catalyzed reactions to investigate fundamental and practical problems in enzymology. A range of QM/MM methods is available, from cheaper and more approximate methods, which can be used for molecular dynamics simulations, to highly accurate electronic structure methods. We discuss how modeling of reactions using such methods can provide detailed insight into enzyme mechanisms and illustrate this by reviewing some recent applications. We outline some practical considerations for such simulations. Further, we highlight applications that show how QM/MM methods can contribute to the practical development and application of enzymology, e.g., in the interpretation and prediction of the effects of mutagenesis and in drug and catalyst design.

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Year:  2013        PMID: 23557014     DOI: 10.1021/bi400215w

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  98 in total

1.  A new smoothing function to introduce long-range electrostatic effects in QM/MM calculations.

Authors:  Dong Fang; Robert E Duke; G Andrés Cisneros
Journal:  J Chem Phys       Date:  2015-07-28       Impact factor: 3.488

2.  Multiscale methods for computational RNA enzymology.

Authors:  Maria T Panteva; Thakshila Dissanayake; Haoyuan Chen; Brian K Radak; Erich R Kuechler; George M Giambaşu; Tai-Sung Lee; Darrin M York
Journal:  Methods Enzymol       Date:  2015-01-22       Impact factor: 1.600

3.  Application of a BOSS-Gaussian interface for QM/MM simulations of Henry and methyl transfer reactions.

Authors:  Jonah Z Vilseck; Jakub Kostal; Julian Tirado-Rives; William L Jorgensen
Journal:  J Comput Chem       Date:  2015-08-27       Impact factor: 3.376

4.  Thermodynamic framework for identifying free energy inventories of enzyme catalytic cycles.

Authors:  Stephen D Fried; Steven G Boxer
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-09       Impact factor: 11.205

Review 5.  Hydrogenase Enzymes and Their Synthetic Models: The Role of Metal Hydrides.

Authors:  David Schilter; James M Camara; Mioy T Huynh; Sharon Hammes-Schiffer; Thomas B Rauchfuss
Journal:  Chem Rev       Date:  2016-06-29       Impact factor: 60.622

6.  How Y357F, Y276F mutants affect the methylation activity of PRDM9: QM/MM MD and free energy simulations.

Authors:  Yuzhuo Chu; Lu Sun; Shijun Zhong
Journal:  J Mol Model       Date:  2015-04-24       Impact factor: 1.810

7.  Quantum and Molecular Mechanical (QM/MM) Monte Carlo Techniques for Modeling Condensed-Phase Reactions.

Authors:  Orlando Acevedo; Wiliiam L Jorgensen
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2014-09

8.  Dynamic and Electrostatic Effects on the Reaction Catalyzed by HIV-1 Protease.

Authors:  Agnieszka Krzemińska; Vicent Moliner; Katarzyna Świderek
Journal:  J Am Chem Soc       Date:  2016-12-09       Impact factor: 15.419

9.  Perspective: Quantum mechanical methods in biochemistry and biophysics.

Authors:  Qiang Cui
Journal:  J Chem Phys       Date:  2016-10-14       Impact factor: 3.488

10.  QM/MM free energy simulations: recent progress and challenges.

Authors:  Xiya Lu; Dong Fang; Shingo Ito; Yuko Okamoto; Victor Ovchinnikov; Qiang Cui
Journal:  Mol Simul       Date:  2016-07-05       Impact factor: 2.178

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