Literature DB >> 26596307

On the Convergence of QM/MM Energies.

LiHong Hu1,2, Pär Söderhjelm3, Ulf Ryde1.   

Abstract

We have studied the convergence of QM/MM calculations with respect to the size of the QM system. We study a proton transfer between a first-sphere cysteine ligand and a second-sphere histidine group in [Ni,Fe] hydrogenase and use a 446-atom model of the protein, treated purely with QM methods as a reference. We have tested 12 different ways to redistribute charges close to the junctions (to avoid overpolarization of the QM system), but once the junctions are moved away from the active site, there is little need to redistribute the charges. We have tested 13 different variants of QM/MM approaches, including two schemes to correct errors caused by the truncation of the QM system. However, we see little gain from such correction schemes; on the contrary, they are sensitive to the charge-redistribution scheme and may cause large errors if charges are close to the junctions. In fact, the best results were obtained with a mechanical embedding approach that does not employ any correction scheme and ignores polarization. It gives a mean unsigned error for 40 QM systems of different sizes of 7 kJ/mol with a maximum error of 28 kJ/mol. The errors can be significantly decreased if bonds between the QM and MM system (junctions) are moved one residue away from all active-site residues. Then, most QM/MM variants give mean unsigned errors of 5-9 kJ/mol, maximum errors of 16-35 kJ/mol, and only five to seven residues give an error of over 5 kJ/mol. In general, QM/MM calculations converge faster with system size than pure QM calculations.

Entities:  

Year:  2011        PMID: 26596307     DOI: 10.1021/ct100530r

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  37 in total

1.  An extensible interface for QM/MM molecular dynamics simulations with AMBER.

Authors:  Andreas W Götz; Matthew A Clark; Ross C Walker
Journal:  J Comput Chem       Date:  2013-10-09       Impact factor: 3.376

2.  A QM/MM study of the binding of RAPTA ligands to cathepsin B.

Authors:  Antonella Ciancetta; Samuel Genheden; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2011-06-24       Impact factor: 3.686

3.  A delocalized proton-binding site within a membrane protein.

Authors:  Steffen Wolf; Erik Freier; Klaus Gerwert
Journal:  Biophys J       Date:  2014-07-01       Impact factor: 4.033

4.  Hybrid dynamics simulation engine for metalloproteins.

Authors:  Manuel Sparta; David Shirvanyants; Feng Ding; Nikolay V Dokholyan; Anastassia N Alexandrova
Journal:  Biophys J       Date:  2012-08-22       Impact factor: 4.033

Review 5.  Protein effects in non-heme iron enzyme catalysis: insights from multiscale models.

Authors:  Nathalie Proos Vedin; Marcus Lundberg
Journal:  J Biol Inorg Chem       Date:  2016-06-30       Impact factor: 3.358

6.  Chemical feasibility of the general acid/base mechanism of glmS ribozyme self-cleavage.

Authors:  Matúš Dubecký; Nils G Walter; Jiří Šponer; Michal Otyepka; Pavel Banáš
Journal:  Biopolymers       Date:  2015-10       Impact factor: 2.505

7.  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

Review 8.  Applications of quantum mechanical/molecular mechanical methods to the chemical insertion step of DNA and RNA polymerization.

Authors:  Lalith Perera; William A Beard; Lee G Pedersen; Samuel H Wilson
Journal:  Adv Protein Chem Struct Biol       Date:  2014-11-07       Impact factor: 3.507

9.  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

10.  Reaction mechanism of formate dehydrogenase studied by computational methods.

Authors:  Geng Dong; Ulf Ryde
Journal:  J Biol Inorg Chem       Date:  2018-09-01       Impact factor: 3.358

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