Onufriev Alexey V, Aguilar Boris
Department of Computer Science and Department of Physics, Virginia Tech, Blacksburg, VA 24060, and Department of Computer Science, Virginia Tech, Blacksburg, VA 24060.
J Theor Comput Chem. 2014 May;13(3). doi: 10.1142/S0219633614400069.
We investigate the influence of three common definitions of the solute/solvent dielectric boundary (DB) on the accuracy of the electrostatic solvation energy Δ computed within the Poisson Boltzmann and the generalized Born models of implicit solvation. The test structures include small molecules, peptides and small proteins; explicit solvent Δ are used as accuracy reference. For common atomic radii sets BONDI, PARSE (and ZAP9 for small molecules) the use of van der Waals (vdW) DB results, on average, in considerably larger errors in Δ than the molecular surface (MS) DB. The optimal probe radius for which the MS DB yields the most accurate Δ varies considerably between structure types. The solvent accessible surface (SAS) DB becomes optimal at ~ 0.2 Å (exact value is sensitive to the structure and atomic radii), at which point the average accuracy of Δ is comparable to that of the MS-based boundary. The geometric equivalence of SAS to vdW surface based on the same atomic radii uniformly increased by gives the corresponding optimal vdW DB. For small molecules, the optimal vdW DB based on BONDI + 0.2 Å radii can yield Δ estimates at least as accurate as those based on the optimal MS DB. Also, in small molecules, pairwise charge-charge interactions computed with the optimal vdW DB are virtually equal to those computed with the MS DB, suggesting that in this case the two boundaries are practically equivalent by the electrostatic energy criteria. In structures other than small molecules, the optimal vdW and MS dielectric boundaries are not equivalent: the respective pairwise electrostatic interactions in the presence of solvent can differ by up to 5 kcal/mol for individual atomic pairs in small proteins, even when the total Δ are equal. For small proteins, the average decrease in pairwise electrostatic interactions resulting from the switch from optimal MS to optimal vdW DB definition can be mimicked within the MS DB definition by doubling of the solute dielectric constant. However, the use of the higher interior dielectric does not eliminate the large individual deviations between pairwise interactions computed within the two DB definitions. It is argued that while the MS based definition of the dielectric boundary is more physically correct in some types of practical calculations, the choice is not so clear in some other common scenarios.
我们研究了溶质/溶剂介电边界(DB)的三种常见定义对在泊松玻尔兹曼和广义玻恩隐式溶剂化模型中计算的静电溶剂化能Δ准确性的影响。测试结构包括小分子、肽和小蛋白质;明确溶剂的Δ用作准确性参考。对于常见的原子半径集BONDI、PARSE(以及小分子的ZAP9),使用范德华(vdW)DB平均而言,在Δ中产生的误差比分子表面(MS)DB大得多。MS DB产生最准确Δ的最佳探针半径在不同结构类型之间有很大差异。溶剂可及表面(SAS)DB在~0.2 Å时变得最佳(确切值对结构和原子半径敏感),此时Δ的平均准确性与基于MS的边界相当。基于相同原子半径均匀增加 的SAS与vdW表面的几何等效性给出了相应的最佳vdW DB。对于小分子,基于BONDI + 0.2 Å半径的最佳vdW DB可以产生至少与基于最佳MS DB一样准确的Δ估计值。此外,在小分子中,用最佳vdW DB计算的成对电荷 - 电荷相互作用实际上与用MS DB计算的相互作用相等,这表明在这种情况下,根据静电能标准,这两个边界实际上是等效的。在小分子以外的结构中,最佳vdW和MS介电边界不等效:即使总Δ相等,对于小蛋白质中的单个原子对,在有溶剂存在时各自的成对静电相互作用最多可相差5 kcal/mol。对于小蛋白质,从最佳MS到最佳vdW DB定义的切换导致的成对静电相互作用的平均降低可以在MS DB定义内通过将溶质介电常数加倍来模拟。然而,使用更高的内部介电常数并不能消除在两个DB定义内计算的成对相互作用之间的大的个体偏差。有人认为,虽然基于MS的介电边界定义在某些类型的实际计算中在物理上更正确,但在其他一些常见情况下选择并不那么明确。