Using MD Simulations To Calculate How Solvents Modulate Solubility

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• 作者：Shuai Liu ; Shannon Cao ; Kevin Hoang ; Kayla L. Young ; Andrew S. Paluch ; David L. Mobley
• 刊名：Journal of Chemical Theory and Computation
• 出版年：2016
• 出版时间：April 12, 2016
• 年：2016
• 卷：12
• 期：4
• 页码：1930-1941
• 全文大小：639K
• 年卷期：0
• ISSN：1549-9626

文摘

Here, our interest is in predicting solubility in general, and we focus particularly on predicting how the solubility of particular solutes is modulated by the solvent environment. Solubility in general is extremely important, both for theoretical reasons – it provides an important probe of the balance between solute–solute and solute–solvent interactions – and for more practical reasons, such as how to control the solubility of a given solute via modulation of its environment, as in process chemistry and separations. Here, we study how the change of solvent affects the solubility of a given compound. That is, we calculate relative solubilities. We use MD simulations to calculate relative solubility and compare our calculated values with experiment as well as with results from several other methods, SMD and UNIFAC, the latter of which is commonly used in chemical engineering design. We find that straightforward solubility calculations based on molecular simulations using a general small-molecule force field outperform SMD and UNIFAC both in terms of accuracy and coverage of the relevant chemical space.