Literature DB >> 19341253

Evaluating boundary dependent errors in QM/MM simulations.

Iván Solt1, Petr Kulhánek, István Simon, Steven Winfield, Mike C Payne, Gábor Csányi, Monika Fuxreiter.   

Abstract

Hybrid quantum mechanics/molecular mechanics (QM/MM) simulations provide a powerful tool for studying chemical reactions, especially in complex biochemical systems. In most works to date, the quantum region is kept fixed throughout the simulation and is defined in an ad hoc way based on chemical intuition and available computational resources. The simulation errors associated with a given choice of the quantum region are, however, rarely assessed in a systematic manner. Here we study the dependence of two relevant quantities on the QM region size: the force error at the center of the QM region and the free energy of a proton transfer reaction. Taking lysozyme as our model system, we find that in an apolar region the average force error rapidly decreases with increasing QM region size. In contrast, the average force error at the polar active site is considerably higher, exhibits large oscillations and decreases more slowly, and may not fall below acceptable limits even for a quantum region radius of 9.0 A. Although computation of free energies could only be afforded until 6.0 A, results were found to change considerably within these limits. These errors demonstrate that the results of QM/MM calculations are heavily affected by the definition of the QM region (not only its size), and a convergence test is proposed to be a part of setting up QM/MM simulations.

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Year:  2009        PMID: 19341253     DOI: 10.1021/jp807277r

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  9 in total

1.  Accelerated Computation of Free Energy Profile at Ab Initio Quantum Mechanical/Molecular Mechanics Accuracy via a Semiempirical Reference Potential. 4. Adaptive QM/MM.

Authors:  Jia-Ning Wang; Wei Liu; Pengfei Li; Yan Mo; Wenxin Hu; Jun Zheng; Xiaoliang Pan; Yihan Shao; Ye Mei
Journal:  J Chem Theory Comput       Date:  2021-02-16       Impact factor: 6.006

2.  How accurate is the description of ligand-protein interactions by a hybrid QM/MM approach?

Authors:  Jakub Kollar; Vladimir Frecer
Journal:  J Mol Model       Date:  2017-12-12       Impact factor: 1.810

3.  Revealing quantum mechanical effects in enzyme catalysis with large-scale electronic structure simulation.

Authors:  Zhongyue Yang; Rimsha Mehmood; Mengyi Wang; Helena W Qi; Adam H Steeves; Heather J Kulik
Journal:  React Chem Eng       Date:  2018-11-29       Impact factor: 4.239

4.  Large-scale QM/MM free energy simulations of enzyme catalysis reveal the influence of charge transfer.

Authors:  Heather J Kulik
Journal:  Phys Chem Chem Phys       Date:  2018-08-08       Impact factor: 3.676

5.  Combining Evolutionary Conservation and Quantum Topological Analyses To Determine Quantum Mechanics Subsystems for Biomolecular Quantum Mechanics/Molecular Mechanics Simulations.

Authors:  Mark A Hix; Emmett M Leddin; G Andrés Cisneros
Journal:  J Chem Theory Comput       Date:  2021-06-04       Impact factor: 6.578

6.  The adaptive buffered force QM/MM method in the CP2K and AMBER software packages.

Authors:  Letif Mones; Andrew Jones; Andreas W Götz; Teodoro Laino; Ross C Walker; Ben Leimkuhler; Gábor Csányi; Noam Bernstein
Journal:  J Comput Chem       Date:  2015-02-03       Impact factor: 3.376

7.  Exploring the Dependence of QM/MM Calculations of Enzyme Catalysis on the Size of the QM Region.

Authors:  Garima Jindal; Arieh Warshel
Journal:  J Phys Chem B       Date:  2016-09-09       Impact factor: 2.991

8.  How Large Should the QM Region Be in QM/MM Calculations? The Case of Catechol O-Methyltransferase.

Authors:  Heather J Kulik; Jianyu Zhang; Judith P Klinman; Todd J Martínez
Journal:  J Phys Chem B       Date:  2016-10-28       Impact factor: 2.991

9.  Cheminformatic quantum mechanical enzyme model design: A catechol-O-methyltransferase case study.

Authors:  Thomas J Summers; Qianyi Cheng; Manuel A Palma; Diem-Trang Pham; Dudley K Kelso; Charles Edwin Webster; Nathan J DeYonker
Journal:  Biophys J       Date:  2021-08-04       Impact factor: 3.699

  9 in total

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