Yadav Neetu Singh, Choudhury Devapriya
School of Biotechnology, Jawaharlal Nehru University, New Delhi-110067, India.
Bioinformation. 2018 Jul 31;14(7):350-356. doi: 10.6026/97320630014350. eCollection 2018.
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.
使用分子动力学(MD)模拟研究了摩尔比范围从0到1的水 - 二甲基亚砜(DMSO)和水 - 乙腈(MeCN)二元混合物。通过统计几何方法研究了MeCN / DMSO不同区域中水的水合性质。所得结果表明,在水 - DMSO模拟中,水和溶剂分子都倾向于以混合簇的形式存在,这取决于DMSO的浓度。而在水 - MeCN混合物的情况下,水和乙腈分子会发生自缔合,显示出与水 - MeCN二元混合物相关的微观不均匀性。这些结果突出了二元液体混合物MD模拟数据的统计几何分析在非水酶学中快速筛选极性有机溶剂的实用性。