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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.26426
|2 doi
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|a pubmed24n1492.xml
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|a (DE-627)NLM315962623
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|a (NLM)33026106
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Diem, Matthias
|e verfasserin
|4 aut
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|a The effect of different cutoff schemes in molecular simulations of proteins
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|c 2020
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|a Text
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 14.06.2021
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|a Date Revised 05.08.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2020 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC.
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|a Molecular simulations of nanoscale systems invariably involve assumptions and approximations to describe the electrostatic interactions, which are long-ranged in nature. One approach is the use of cutoff schemes with a reaction-field contribution to account for the medium outside the cutoff scheme. Recent reports show that macroscopic properties may depend on the exact choice of cutoff schemes in modern day simulations. In this work, a systematic analysis of the effects of different cutoff schemes was performed using a set of 52 proteins. We find no statistically significant differences between using a twin-range or a single-range cutoff scheme. Applying the cutoff based on charge groups or based on atomic positions, does lead to significant differences, which is traced to the cutoff noise for energies and forces. While group-based cutoff schemes show increased cutoff noise in the potential energy, applying an atomistic cutoff leads to artificial structure in the solvent at the cutoff distance. Carefully setting the temperature control, or using an atomistic cutoff for the solute and a group-based cutoff for the solvent significantly reduces the effects of the cutoff noise, without introducing structure in the solvent. This study aims to deepen the understanding of the implications different cutoffs have on molecular dynamics simulations
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|a Journal Article
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|a atomistic
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|a charge-group
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|a cutoff scheme
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|a molecular dynamics
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|a proteins
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|a Proteins
|2 NLM
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|a Solvents
|2 NLM
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|a Oostenbrink, Chris
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 41(2020), 32 vom: 15. Dez., Seite 2740-2749
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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| 773 |
1 |
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|g volume:41
|g year:2020
|g number:32
|g day:15
|g month:12
|g pages:2740-2749
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| 856 |
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|u http://dx.doi.org/10.1002/jcc.26426
|3 Volltext
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