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dc.date.accessioned 2019-02-15T16:24:44Z
dc.date.available 2019-02-15T16:24:44Z
dc.date.issued 2014-06
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/72322
dc.description.abstract Acetonitrile is widely utilized in scientific research, presenting an ideal solvent media for a large number of organic reactions. Its use at the industrial scale ranges from the production of molecules of pharmaceutical interest to photographic films. Additionally, certain enzyme based catalytic processes show great functionality in Acetonitrile media. Furthermore, numerous enzymes continue to act as efficient biocatalyzers in acetonitrile solution, showing in some cases significant changes in their original specificity and selectivity. Consequently, the study of the behavior of such proteins in this solvent by means of potent computational methods such as Molecular Dynamics results of great interest. Many molecular models for Acetonitrile have been developed for use in Molecular Dynamic studies. Nevertheless, all acetonitrile models developed up to date are only capable of performing reasonably when used with integration time-steps no greater than 2 femtoseconds (fs). We present two molecular models for acetonitrile which perform both efficiently and reliably with integration time steps of up to 4 fs. Furthermore, the optimization procedure used has enabled to achieve this performance improvement at no cost as regards the agreement between the experimental macroscopic data for Acetonitrile and the corresponding properties evaluated for the models here presented. en
dc.format.extent 49-62 es
dc.language en es
dc.subject Acetonitrilos es
dc.subject Acetonitrile; Three-site Models; Molecular Dynamics; Integration Time-step Scalability en
dc.subject Simulación de Dinámica Molecular es
dc.title Consistent Acetonitrile Molecular Models for both Standard and Computationally Efficient Molecular Dynamics Studies en
dc.type Articulo es
sedici.identifier.uri https://www.ajouronline.com/index.php/AJCIS/article/view/637 es
sedici.identifier.issn 2321-5658 es
sedici.creator.person Álvarez, Hugo Ariel es
sedici.creator.person Llerena Suster, Carlos Rafael es
sedici.creator.person McCarthy, Andrés Norman es
sedici.subject.materias Ciencias Exactas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Exactas es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Asian Journal of Computer and Information Systems es
sedici.relation.journalVolumeAndIssue vol. 2, no. 3 es


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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)