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水模型对结合亲和力的影响:来自达菲与A/H5N1神经氨酸酶结合的全原子模拟证据。

Effects of water models on binding affinity: evidence from all-atom simulation of binding of tamiflu to A/H5N1 neuraminidase.

作者信息

Nguyen Trang Truc, Viet Man Hoang, Li Mai Suan

机构信息

Institute for Computational Science and Technology, Quarter 6, Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam.

Institute of Physics, Polish Academy of Sciences, Aleja Lotnikow 32/46, 02-668 Warsaw, Poland.

出版信息

ScientificWorldJournal. 2014 Feb 2;2014:536084. doi: 10.1155/2014/536084. eCollection 2014.

Abstract

The influence of water models SPC, SPC/E, TIP3P, and TIP4P on ligand binding affinity is examined by calculating the binding free energy ΔG(bind) of oseltamivir carboxylate (Tamiflu) to the wild type of glycoprotein neuraminidase from the pandemic A/H5N1 virus. ΔG(bind) is estimated by the Molecular Mechanic-Poisson Boltzmann Surface Area method and all-atom simulations with different combinations of these aqueous models and four force fields AMBER99SB, CHARMM27, GROMOS96 43a1, and OPLS-AA/L. It is shown that there is no correlation between the binding free energy and the water density in the binding pocket in CHARMM. However, for three remaining force fields ΔG(bind) decays with increase of water density. SPC/E provides the lowest binding free energy for any force field, while the water effect is the most pronounced in CHARMM. In agreement with the popular GROMACS recommendation, the binding score obtained by combinations of AMBER-TIP3P, OPLS-TIP4P, and GROMOS-SPC is the most relevant to the experiments. For wild-type neuraminidase we have found that SPC is more suitable for CHARMM than TIP3P recommended by GROMACS for studying ligand binding. However, our study for three of its mutants reveals that TIP3P is presumably the best choice for CHARMM.

摘要

通过计算羧基奥司他韦(达菲)与甲型H5N1流感大流行病毒野生型神经氨酸酶糖蛋白的结合自由能ΔG(bind),研究了水模型SPC、SPC/E、TIP3P和TIP4P对配体结合亲和力的影响。ΔG(bind)通过分子力学-泊松玻尔兹曼表面积方法以及这些水模型与四个力场AMBER99SB、CHARMM27、GROMOS96 43a1和OPLS-AA/L的不同组合进行全原子模拟来估算。结果表明,在CHARMM中,结合自由能与结合口袋中的水密度之间没有相关性。然而,对于其余三个力场,ΔG(bind)随水密度的增加而衰减。对于任何力场,SPC/E提供最低的结合自由能,而在CHARMM中,水的影响最为显著。与流行的GROMACS建议一致,由AMBER-TIP3P、OPLS-TIP4P和GROMOS-SPC组合获得的结合分数与实验最为相关。对于野生型神经氨酸酶,我们发现SPC比GROMACS推荐用于研究配体结合的TIP3P更适合CHARMM。然而,我们对其三个突变体的研究表明,TIP3P可能是CHARMM的最佳选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47f9/3929574/05e2ef1aa5be/TSWJ2014-536084.001.jpg

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