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改进的势能函数通过全原子分子动力学模拟增强了对蛋白质复合物的预测,证实了天然蛋白质-蛋白质相互作用的逐步结合过程。

Modified Potential Functions Result in Enhanced Predictions of a Protein Complex by All-Atom Molecular Dynamics Simulations, Confirming a Stepwise Association Process for Native Protein-Protein Interactions.

机构信息

Department of Physiology and Biophysics , Case Western Reserve University, School of Medicine , 10900 Euclid Avenue , Cleveland , Ohio 44106 , United States.

Departments of Pharmacology and Neurosciences, and Case Comprehensive Cancer Center , Case Western Reserve University, School of Medicine , 10900 Euclid Avenue , Cleveland , Ohio 44106 , United States.

出版信息

J Chem Theory Comput. 2019 Aug 13;15(8):4318-4331. doi: 10.1021/acs.jctc.9b00195. Epub 2019 Jul 23.

Abstract

The relative prevalence of native protein-protein interactions (PPIs) are the cornerstone for understanding the structure, dynamics and mechanisms of function of protein complexes. In this study, we develop a scheme for scaling the protein-water interaction in the CHARMM36 force field, in order to better fit the solvation free energy of amino acids side-chain analogues. We find that the molecular dynamics simulation with the scaled force field, CHARMM36s, as well as a recently released version, CHARMM36m, effectively improve on the overly sticky association of proteins, such as ubiquitin. We investigate the formation of a heterodimer protein complex between the SAM domains of the EphA2 receptor and the SHIP2 enzyme by performing a combined total of 48 μs simulations with the different potential functions. While the native SAM heterodimer is only predicted at a low rate of 6.7% with the original CHARMM36 force field, the yield is increased to 16.7% with CHARMM36s, and to 18.3% with CHARMM36m. By analyzing the 25 native SAM complexes formed in the simulations, we find that their formation involves a preorientation guided by Coulomb interactions, consistent with an electrostatic steering mechanism. In 12 cases, the complex could directly transform to the native protein interaction surfaces with only small adjustments in domain orientation. In the other 13 cases, orientational and/or translational adjustments are needed to reach the native complex. Although the tendency for non-native complexes to dissociate has nearly doubled with the modified potential functions, a dissociation followed by a reassociation to the correct complex structure is still rare. Instead, the remaining non-native complexes undergo configurational changes/surface searching, which, however, rarely leads to native structures on a time scale of 250 ns. These observations provide a rich picture of the mechanisms of protein-protein complex formation and suggest that computational predictions of native complex PPIs could be improved further.

摘要

天然蛋白质-蛋白质相互作用(PPIs)的相对丰度是理解蛋白质复合物结构、动态和功能机制的基石。在这项研究中,我们开发了一种对 CHARMM36 力场中的蛋白质-水相互作用进行缩放的方案,以更好地拟合氨基酸侧链类似物的溶剂化自由能。我们发现,使用缩放后的力场 CHARMM36s 以及最近发布的版本 CHARMM36m 进行分子动力学模拟,可以有效地改善蛋白质的过度粘性聚集,如泛素。我们通过使用不同的势能函数总共进行 48 μs 的模拟,研究了 EphA2 受体的 SAM 结构域和 SHIP2 酶之间形成的异源二聚体蛋白复合物。虽然原始 CHARMM36 力场只能以 6.7%的低速率预测天然 SAM 异源二聚体,但是使用 CHARMM36s 将产率提高到 16.7%,使用 CHARMM36m 将产率提高到 18.3%。通过分析模拟中形成的 25 个天然 SAM 复合物,我们发现它们的形成涉及到由库仑相互作用引导的预定向,与静电导向机制一致。在 12 种情况下,复合物可以直接转化为天然的蛋白质相互作用表面,只需对结构域方向进行微小调整。在另外 13 种情况下,需要进行方向和/或平移调整才能达到天然复合物。尽管使用修改后的势能函数后,非天然复合物的解离趋势几乎增加了一倍,但解离后重新结合到正确的复合物结构仍然很少见。相反,剩余的非天然复合物会经历构象变化/表面搜索,但这很少会导致在 250 ns 的时间尺度上形成天然结构。这些观察结果提供了蛋白质-蛋白质复合物形成机制的丰富画面,并表明对天然复合物 PPI 的计算预测可以进一步提高。

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