Literature DB >> 15796706

Ab initio quantum chemical and mixed quantum mechanics/molecular mechanics (QM/MM) methods for studying enzymatic catalysis.

Richard A Friesner1, Victor Guallar.   

Abstract

We describe large scale ab initio quantum chemical and mixed quantum mechanics/molecular mechanics (QM/MM) methods for studying enzymatic reactions. First, technical aspects of the methodology are reviewed, including the hybrid density functional theory (DFT) methods that are typically employed for the QM aspect of the calculations, and various approaches to defining the interface between the QM and MM regions in QM/MM approaches. The modeling of the enzymatic catalytic cycle for three examples--methane monooxygenase, cytochrome P450, and triose phosphate isomerase--are discussed in some depth, followed by a brief summary of other systems that have been investigated by ab initio methods over the past several years. Finally, a discussion of the qualitative and quantitative conclusions concerning enzymatic catalysis that are available from modern ab initio approaches is presented, followed by a conclusion briefly summarizing future prospects.

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Year:  2005        PMID: 15796706     DOI: 10.1146/annurev.physchem.55.091602.094410

Source DB:  PubMed          Journal:  Annu Rev Phys Chem        ISSN: 0066-426X            Impact factor:   12.703


  98 in total

1.  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

Review 2.  A practical guide to modelling enzyme-catalysed reactions.

Authors:  Richard Lonsdale; Jeremy N Harvey; Adrian J Mulholland
Journal:  Chem Soc Rev       Date:  2012-01-26       Impact factor: 54.564

Review 3.  Integrated Modeling Program, Applied Chemical Theory (IMPACT).

Authors:  Jay L Banks; Hege S Beard; Yixiang Cao; Art E Cho; Wolfgang Damm; Ramy Farid; Anthony K Felts; Thomas A Halgren; Daniel T Mainz; Jon R Maple; Robert Murphy; Dean M Philipp; Matthew P Repasky; Linda Y Zhang; Bruce J Berne; Richard A Friesner; Emilio Gallicchio; Ronald M Levy
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

4.  Transition metal spin state energetics and noninnocent systems: challenges for DFT in the bioinorganic arena.

Authors:  Abhik Ghosh
Journal:  J Biol Inorg Chem       Date:  2006-07-14       Impact factor: 3.358

5.  A finite element framework for studying the mechanical response of macromolecules: application to the gating of the mechanosensitive channel MscL.

Authors:  Yuye Tang; Guoxin Cao; Xi Chen; Jejoong Yoo; Arun Yethiraj; Qiang Cui
Journal:  Biophys J       Date:  2006-05-26       Impact factor: 4.033

6.  Design-atom approach for the quantum mechanical/molecular mechanical covalent boundary: a design-carbon atom with five valence electrons.

Authors:  Chuanyun Xiao; Yingkai Zhang
Journal:  J Chem Phys       Date:  2007-09-28       Impact factor: 3.488

7.  Highly dissociative and concerted mechanism for the nicotinamide cleavage reaction in Sir2Tm enzyme suggested by ab initio QM/MM molecular dynamics simulations.

Authors:  Po Hu; Shenglong Wang; Yingkai Zhang
Journal:  J Am Chem Soc       Date:  2008-12-10       Impact factor: 15.419

8.  Structural evolution of protein-biofilms: Simulations and experiments.

Authors:  Y Schmitt; H Hähl; C Gilow; H Mantz; K Jacobs; O Leidinger; M Bellion; L Santen
Journal:  Biomicrofluidics       Date:  2010-09-30       Impact factor: 2.800

9.  Computational delineation of tyrosyl-substrate recognition and catalytic landscapes by the epidermal growth factor receptor tyrosine kinase domain.

Authors:  Yingting Liu; Ravi Radhakrishnan
Journal:  Mol Biosyst       Date:  2014-04-29

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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