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231225s2019 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.26021
|2 doi
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|a pubmed24n0997.xml
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|a (DE-627)NLM299142329
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|a (NLM)31301182
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Nikitin, Alexei
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Development of Nonbonded Models for Metal Cations Using the Electronic Continuum Correction
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|c 2019
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Revised 08.01.2020
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2019 Wiley Periodicals, Inc.
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|a The parametrization of classical nonbonded models of metal ions has been widely addressed in the recent years. Despite the continuous development of novel and more physically inspired functional forms, the 12-6 Lennard-Jones plus Coulomb potential is still the most adopted force field in molecular dynamics (MD) codes, owing to its simple form and easy implementation. However, due to the integer formal charge, unpolarizable force fields of ions may suffer from overestimated interatomic electrostatic interactions, leading to nonphysical clustering or repulsion between such full charges. The electronic continuum correction (ECC) can fix this problem through a simple inclusion of solvent polarization effects via ionic charge rescaling. In this work, the development of novel nonbonded models for mono, divalent, and highly charged metal ions is presented. For each metal species, the ionic charge has been scaled, according to the ECC. Lennard-Jones parameters have been optimized using experimental structural and thermodynamic properties as target quantities. Performances of the proposed models are discussed and compared with the literature data, while transferability attitudes among different and well-known water models are evaluated. © 2019 Wiley Periodicals, Inc
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|a Journal Article
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| 650 |
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|a electronic polarization
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| 650 |
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4 |
|a force field
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| 650 |
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4 |
|a metal ions
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| 650 |
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4 |
|a molecular dynamics
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| 650 |
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4 |
|a parametrization
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| 700 |
1 |
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|a Del Frate, Gianluca
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 40(2019), 28 vom: 30. Okt., Seite 2464-2472
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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| 773 |
1 |
8 |
|g volume:40
|g year:2019
|g number:28
|g day:30
|g month:10
|g pages:2464-2472
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| 856 |
4 |
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|u http://dx.doi.org/10.1002/jcc.26021
|3 Volltext
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|a AR
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|d 40
|j 2019
|e 28
|b 30
|c 10
|h 2464-2472
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