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A statistical geometry analysis of simulated water-DMSO and water-MeCN binary mixtures for biomolecular studies

Water-Dimethylsulfoxide (DMSO) and water-Acetonitrile (MeCN) binary mixtures at various molar ratios ranging from 0 to 1 are studied using Molecular Dynamics (MD) simulations. Hydration properties of water in different regions of MeCN/DMSO are investigated by using the statistical geometry approach....

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Detalles Bibliográficos
Autores principales: Yadav, Neetu Singh, Choudhury, Devapriya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6143356/
https://www.ncbi.nlm.nih.gov/pubmed/30262971
http://dx.doi.org/10.6026/97320630014350
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author Yadav, Neetu Singh
Choudhury, Devapriya
author_facet Yadav, Neetu Singh
Choudhury, Devapriya
author_sort Yadav, Neetu Singh
collection PubMed
description Water-Dimethylsulfoxide (DMSO) and water-Acetonitrile (MeCN) binary mixtures at various molar ratios ranging from 0 to 1 are studied using Molecular Dynamics (MD) simulations. Hydration properties of water in different regions of MeCN/DMSO are investigated by using the statistical geometry approach. The obtained results reveal that in water-DMSO simulations both water and solvent molecules prefer to be in mixed cluster forms, depending upon the concentration of DMSO. While in case of water-MeCN mixtures, self-association of water and acetonitrile molecules, take place, showing microheterogeneity associated with the water- MeCN binary mixtures. The results highlight the utility of statistical geometric analysis of MD simulation data of binary liquid mixtures for rapid screening of polar organic solvents in non-aqueous enzymology.
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spelling pubmed-61433562018-09-27 A statistical geometry analysis of simulated water-DMSO and water-MeCN binary mixtures for biomolecular studies Yadav, Neetu Singh Choudhury, Devapriya Bioinformation Hypothesis Water-Dimethylsulfoxide (DMSO) and water-Acetonitrile (MeCN) binary mixtures at various molar ratios ranging from 0 to 1 are studied using Molecular Dynamics (MD) simulations. Hydration properties of water in different regions of MeCN/DMSO are investigated by using the statistical geometry approach. The obtained results reveal that in water-DMSO simulations both water and solvent molecules prefer to be in mixed cluster forms, depending upon the concentration of DMSO. While in case of water-MeCN mixtures, self-association of water and acetonitrile molecules, take place, showing microheterogeneity associated with the water- MeCN binary mixtures. The results highlight the utility of statistical geometric analysis of MD simulation data of binary liquid mixtures for rapid screening of polar organic solvents in non-aqueous enzymology. Biomedical Informatics 2018-07-31 /pmc/articles/PMC6143356/ /pubmed/30262971 http://dx.doi.org/10.6026/97320630014350 Text en © 2018 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Hypothesis
Yadav, Neetu Singh
Choudhury, Devapriya
A statistical geometry analysis of simulated water-DMSO and water-MeCN binary mixtures for biomolecular studies
title A statistical geometry analysis of simulated water-DMSO and water-MeCN binary mixtures for biomolecular studies
title_full A statistical geometry analysis of simulated water-DMSO and water-MeCN binary mixtures for biomolecular studies
title_fullStr A statistical geometry analysis of simulated water-DMSO and water-MeCN binary mixtures for biomolecular studies
title_full_unstemmed A statistical geometry analysis of simulated water-DMSO and water-MeCN binary mixtures for biomolecular studies
title_short A statistical geometry analysis of simulated water-DMSO and water-MeCN binary mixtures for biomolecular studies
title_sort statistical geometry analysis of simulated water-dmso and water-mecn binary mixtures for biomolecular studies
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6143356/
https://www.ncbi.nlm.nih.gov/pubmed/30262971
http://dx.doi.org/10.6026/97320630014350
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