Generalized Born model with a simple, robust molecular volume correction

被引:331
作者
Mongan, John
Simmerling, Carlos
McCammon, J. Andrew
Case, David A.
Onufriev, Alexey [1 ]
机构
[1] Virginia Tech, Dept Comp Sci, Blacksburg, VA 24060 USA
[2] Virginia Tech, Dept Phys, Blacksburg, VA 24060 USA
[3] Univ Calif San Diego, Dept Chem & Biochem, Ctr Theoret Biol Phys, Med Scientist Training Program,Bioinformat Progra, La Jolla, CA 92093 USA
[4] Univ Calif San Diego, Dept Pharmacol, La Jolla, CA 92093 USA
[5] SUNY Stony Brook, Dept Chem, Stony Brook, NY 11794 USA
[6] SUNY Stony Brook, Ctr Struct Biol, Stony Brook, NY 11794 USA
[7] Scripps Res Inst, Dept Mol Biol, Howard Hughes Med Inst, La Jolla, CA 92037 USA
关键词
D O I
10.1021/ct600085e
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Generalized Born (GB) models provide a computationally efficient means of representing the electrostatic effects of solvent and are widely used, especially in molecular dynamics (MD). A class of particularly fast GB models is based on integration over an interior volume approximated as a pairwise union of atom sphereseffectively, the interior is defined by a van der Waals rather than Lee-Richards molecular surface. The approximation is computationally efficient but, if uncorrected, allows for high dielectric (water) regions smaller than a water molecule between atoms, leading to decreased accuracy. Here, an earlier pairwise GB model is extended by a simple analytic correction term that largely alleviates the problem by correctly describing the solvent-excluded volume of each pair of atoms. The correction term introduces a free energy barrier to the separation of nonbonded atoms. This free energy barrier is seen in explicit solvent and Lee-Richards molecular surface implicit solvent calculations but has been absent from earlier pairwise GB models. When used in MD, the correction term yields protein hydrogen bond length distributions and polypeptide conformational ensembles that are in better agreement with explicit solvent results than earlier pairwise models. The robustness and simplicity of the correction preserves the efficiency of the pairwise GB models while making them a better approximation to reality.
引用
收藏
页码:156 / 169
页数:14
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