Reducing the Secondary Structure Bias in the Generalized Born Model via R6 Effective Radii

通过 R6 有效半径减少广义 Born 模型中的二级结构偏差

阅读:1

Abstract

The Generalized Born model (GB) provides a reasonably accurate and computationally efficient way to compute the electrostatic component (ΔGel) of the solvation free energy. In this work we have developed a method to compute effective Born radii, which is intended to address the known secondary structure bias of the GB model reported earlier (Roe et al., J. Phys. Chem. B, 2007, 111, 1846-1857). Our analytical approach, termed AR6, is based on the ∣r∣−6 (R6) integration over an approximation to molecular volume. Within the approach, several computationally efficient corrections to the pairwise VDW volume integration are combined to closely approximate the true molecular volume in the vicinity of each atom. The accuracy of the AR6 model in predicting relative ΔGel is tested on four conformational states of alanine decapeptide. Changes in ΔGel estimated by AR6 between various pairs of conformational states have the same RMS error relative to the explicit solvent as does the corresponding numerical PB values; at the same time, the RMS error of the proposed model is 2 times lower than that of the popular GB_OBC model from the AMBER package. Tests against the PB treatment on 22 biomolecular structures including proteins and DNA show that the relative error of ΔGel is 0.58%; the RMS error of ΔGel computed by AR6 is 3 times lower than the corresponding value for GB_OBC. However, the computational efficiency of the AR6 and GB_OBC models are comparable. A variant of the R6 model, NSR6, based on numerically exact integration over triangulated molecular surface is tested on a “challenge” set of small drug-like molecules (Nicholls et al., J. Med. Chem. 2008, 51, 769-779). When augmented with cavity and VDW terms to account for the nonpolar part of solvation energy, the model with only one free parameter is capable of predicting the total solvation free energy to within 1.73 kcal/mol RMS error relative to experimental data. Within the NSR6 formulation, computation of the non-polar contribution is particularly efficient because its VDW part depends on the same ∣r∣−6 integrals.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。