Sealy Center for Structural Biology and Molecular Biophysics , University of Texas Medical Branch , 301 University Boulevard , Galveston , Texas 77555-0304 , United States.
J Chem Theory Comput. 2019 Apr 9;15(4):2649-2658. doi: 10.1021/acs.jctc.8b01157. Epub 2019 Mar 6.
Techniques to calculate the free energy changes of a system are very useful in the study of biophysical and biochemical properties. In practice, free energy changes can be described with thermodynamic cycles, and the free energy change of an individual process can be computed by sufficiently sampling the corresponding configurations. However, this is still time-consuming especially for large biomolecular systems. Previously, we have shown that by utilizing precomputed solute-solvent correlations, so-called proximal distribution functions (pDF), we are capable of reconstructing the solvent environment near solute atoms, thus estimating the solute-solvent interactions and solvation free energies of molecules. In this contribution, we apply the technique of pDF-reconstructions to calculate chemical potentials and use this information in thermodynamic cycles. This illustrates how free energy changes of nontrivial chemical processes in aqueous solution systems can be rapidly estimated.
计算系统自由能变化的技术在生物物理和生物化学性质的研究中非常有用。在实践中,可以用热力学循环来描述自由能变化,并且可以通过充分采样相应的构型来计算单个过程的自由能变化。然而,这仍然很耗时,特别是对于大型生物分子系统。以前,我们已经表明,通过利用预先计算的溶质-溶剂相关关系,即所谓的近分布函数 (pDF),我们能够重建溶质原子附近的溶剂环境,从而估计分子的溶质-溶剂相互作用和溶剂化自由能。在本贡献中,我们将 pDF 重建技术应用于计算化学势,并在热力学循环中使用该信息。这说明了如何快速估计水溶液体系中复杂化学过程的自由能变化。