Liu Junjun, Kelly Casey P, Goren Alan C, Marenich Aleksandr V, Cramer Christopher J, Truhlar Donald G, Zhan Chang-Guo
Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China.
J Chem Theory Comput. 2010 Mar 4;6(4):1109-1117. doi: 10.1021/ct100025j.
Building on the SVPE (surface and volume polarization for electrostatics) model for electrostatic contributions to the free energy of solvation with explicit consideration of both surface and volume polarization effects, on the SMx approach to including first-solvation-shell contributions, and on the linear relationship between the electric field and short-range electrostatic contributions found by Chipman, we have developed a new method for computing absolute aqueous solvation free energies by combining the SVPE method with semiempirical terms that account for effects beyond bulk electrostatics. The new method is called SMVLE, and the elements it contains are denoted by SVPE-CDSL where SVPE denotes accounting for bulk electrostatic interactions between solute and solvent with both surface and volume contributions, CDS denotes the inclusion of solvent cavitation, changes in dispersion energy, and possible changes in local solvent structure by a semiempirical term utilizing geometry-dependent atomic surface tensions as implemented in SMx models, and L represents the local electrostatic effect derived from the outward-directed normal electric field on the cavity surface. The semiempirical CDS and L terms together represent the deviation of short-range contributions to the free energy of solvation from those accounted for by the SVPE term based on the bulk solvent dielectric constant. A solute training set containing a broad range of molecules used previously in the development of SM6 is used here for SMVLE model calibration. The aqueous solvation free energies predicted by the parameterized SMVLE model correlate exceedingly well with experimental values. The square of the correlation coefficient is 0.9949 and the slope is 1.0079. Comparison of the final SMVLE model against the earlier SMx solvation model shows that the parameterized SMVLE model not only yields good accuracy for neutrals but also significantly increases the accuracy for ions, making it the best implicit solvation model to date for aqueous solvation free energies of ions. The semiempirical terms associated with the outward-directed electric field account in a physical way for the improvement in the predictive accuracy for ions. The SMVLE method greatly decreases the need to include explicit water molecules for accurate modeling of solvation free energies of ions.
基于用于明确考虑表面和体极化效应的静电对溶剂化自由能贡献的SVPE(静电表面和体极化)模型、基于SMx方法来纳入第一溶剂化层贡献以及基于Chipman发现的电场与短程静电贡献之间的线性关系,我们通过将SVPE方法与考虑了体静电之外效应的半经验项相结合,开发了一种计算绝对水相溶剂化自由能的新方法。这种新方法称为SMVLE,它包含的元素用SVPE - CDSL表示,其中SVPE表示考虑溶质和溶剂之间的体静电相互作用,包括表面和体贡献;CDS表示通过使用SMx模型中基于几何的原子表面张力的半经验项来纳入溶剂空穴化、色散能变化以及局部溶剂结构的可能变化;L表示从腔表面向外指向的法向电场导出的局部静电效应。半经验的CDS和L项共同表示溶剂化自由能的短程贡献相对于基于体溶剂介电常数的SVPE项所考虑的贡献的偏差。这里使用一个包含先前在SM6开发中使用的广泛分子的溶质训练集来校准SMVLE模型。参数化的SMVLE模型预测的水相溶剂化自由能与实验值高度相关。相关系数的平方为0.9949,斜率为1.0079。将最终的SMVLE模型与早期的SMx溶剂化模型进行比较表明,参数化的SMVLE模型不仅对中性分子具有良好的准确性,而且显著提高了对离子的准确性,使其成为迄今为止用于离子水相溶剂化自由能的最佳隐式溶剂化模型。与向外指向的电场相关的半经验项以物理方式解释了离子预测准确性的提高。SMVLE方法大大减少了为准确模拟离子溶剂化自由能而纳入明确水分子的需求。