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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....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2018
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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. |
format | Online Article Text |
id | pubmed-6143356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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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