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使用平滑反应路径生成(SRPG)方法计算蛋白质-配体结合自由能:显式水模型、广义玻恩/表面面积(gb/sa)模型和对接评分函数的比较

Calculation of protein-ligand binding free energy using smooth reaction path generation (SRPG) method: a comparison of the explicit water model, gb/sa model and docking score function.

作者信息

Mitomo Daisuke, Fukunishi Yoshifumi, Higo Junichi, Nakamura Haruki

机构信息

Japan Biological Informatics Consortium (JBIC), 2-41-6, Aomi, Koto-ku, Tokyo 135-0064, Japan.

出版信息

Genome Inform. 2009 Oct;23(1):85-97.

PMID:20180264
Abstract

We compared the protein-ligand binding free energies (G) obtained by the explicit water model, the MM-GB/SA (molecular-mechanics generalized Born surface area) model, and the docking scoring function. The free energies by the explicit water model and the MM-GB/SA model were calculated by the previously developed Smooth Reaction Path Generation (SRPG) method. In the SRPG method, a smooth reaction path was generated by linking two coordinates, one a bound state and the other an unbound state. The free energy surface along the path was calculated by a molecular dynamics (MD) simulation, and the binding free energy was estimated from the free energy surface. We applied these methods to the streptavidin-and-biotin system. The G value by the explicit water model was close to the experimental value. The G value by the MM-GB/SA model was overestimated and that by the scoring function was underestimated. The free energy surface by the explicit water model was close to that by the GB/SA model around the bound state (distances of < 6 A), but the discrepancy appears at distances of > 6 A. Thus, the difference in long-range Coulomb interaction should cause the error in G. The scoring function cannot take into account the entropy change of the protein. Thus, the error of G could depend on the target protein.

摘要

我们比较了通过显式水模型、MM-GB/SA(分子力学广义玻恩表面积)模型和对接评分函数获得的蛋白质-配体结合自由能(G)。显式水模型和MM-GB/SA模型的自由能通过先前开发的平滑反应路径生成(SRPG)方法计算。在SRPG方法中,通过连接两个坐标生成一条平滑反应路径,一个坐标是结合态,另一个是未结合态。沿着该路径的自由能表面通过分子动力学(MD)模拟计算,结合自由能从自由能表面估计。我们将这些方法应用于链霉亲和素-生物素系统。显式水模型的G值接近实验值。MM-GB/SA模型的G值被高估,评分函数的G值被低估。显式水模型的自由能表面在结合态附近(距离<6 Å)与GB/SA模型的接近,但在距离>6 Å时出现差异。因此,长程库仑相互作用的差异应导致G的误差。评分函数不能考虑蛋白质的熵变。因此,G的误差可能取决于目标蛋白质。

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