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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.26742
|2 doi
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|a pubmed24n1098.xml
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|a (DE-627)NLM329501976
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|a (NLM)34406659
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Fujimoto, Kazushi
|e verfasserin
|4 aut
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|a Momentum removal to obtain the position-dependent diffusion constant in constrained molecular dynamics simulation
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|c 2021
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 02.02.2022
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|a Date Revised 02.02.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2021 Wiley Periodicals LLC.
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|a The position-dependent diffusion coefficient along with free energy profile are important parameters needed to study mass transport in heterogeneous systems such as biological and polymer membranes, and molecular dynamics (MD) calculation is a popular tool to obtain them. Among many methodologies, the Marrink-Berendsen (MB) method is often employed to calculate the position-dependent diffusion coefficient, in which the autocorrelation function of the force on a fixed molecule is related to the friction on the molecule. However, the diffusion coefficient is shown to be affected by the period of the removal of the center-of-mass velocity, τv0 , which is necessary when performing MD calculations using the Ewald method for Coulombic interaction. We have clarified theoretically in this study how this operation affects the diffusion coefficient calculated by the MB method, and the theoretical predictions are proven by MD calculations. Therefore, we succeeded in providing guidance on how to select an appropriate τv0 value in estimating the position-dependent diffusion coefficient by the MB method. This guideline is applicable also to the Woolf-Roux method
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Marrink-Berendsen method
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|a Woolf-Roux method
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|a molecular dynamics calculation
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|a position-dependent diffusion coefficient
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|a Membranes, Artificial
|2 NLM
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|a Nagai, Tetsuro
|e verfasserin
|4 aut
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|a Yamaguchi, Tsuyoshi
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 42(2021), 30 vom: 15. Nov., Seite 2136-2144
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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|g volume:42
|g year:2021
|g number:30
|g day:15
|g month:11
|g pages:2136-2144
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|u http://dx.doi.org/10.1002/jcc.26742
|3 Volltext
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|a AR
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|d 42
|j 2021
|e 30
|b 15
|c 11
|h 2136-2144
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