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Increasing the Sampling Efficiency of Protein Conformational Change by Combining a Modified Replica Exchange Molecular Dynamics and Normal Mode Analysis

机译:通过组合改性的副本交换分子动力学和正常模式分析,增加蛋白质构象变化的采样效率

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Understanding conformational change at an atomic level is significant when determining a protein functional mechanism. Replica exchange molecular dynamics (REMD) is a widely used enhanced sampling method to explore protein conformational space. However, REMD with an explicit solvent model requires huge computational resources, immensely limiting its application. In this study, a variation of parallel tempering metadynamics (PTMetaD) with the omission of solvent–solvent interactions in exchange attempts and the use of low-frequency modes calculated by normal-mode analysis (NMA) as collective variables (CVs), namely ossPTMetaD, is proposed with the aim to accelerate MD simulations simultaneously in temperature and geometrical spaces. For testing the performance of ossPTMetaD, five protein systems with diverse biological functions and motion patterns were selected, including large-scale domain motion (AdK), flap movement (HIV-1 protease and BACE1), and DFG-motif flip in kinases (p38α and c-Abl). The simulation results showed that ossPTMetaD requires much fewer numbers of replicas than temperature REMD (T-REMD) with a reduction of ~70% to achieve a similar exchange ratio. Although it does not obey the detailed balance condition, ossPTMetaD provides consistent results with T-REMD and experimental data. The high accessibility of the large conformational change of protein systems by ossPTMetaD, especially in simulating the very challenging DFG-motif flip of protein kinases, demonstrated its high efficiency and robustness in the characterization of the large-scale protein conformational change pathway and associated free energy profile.
机译:在确定蛋白质的功能机制时,在原子水平上理解构象变化具有重要意义。副本交换分子动力学(REMD)是一种广泛用于探索蛋白质构象空间的增强采样方法。然而,具有显式溶剂模型的REMD需要大量计算资源,极大地限制了其应用。在这项研究中,提出了一种平行回火亚动力学(PTMetaD)的变体,在交换尝试中省略溶剂-溶剂相互作用,并使用由正态模式分析(NMA)计算的低频模式作为集体变量(CV),即ossPTMetaD,目的是在温度和几何空间中同时加速MD模拟。为了测试ossPTMetaD的性能,选择了五种具有不同生物学功能和运动模式的蛋白质系统,包括大规模结构域运动(AdK)、皮瓣运动(HIV-1蛋白酶和BACE1)和激酶中的DFG基序翻转(p38α和c-Abl)。模拟结果表明,ossPTMetaD比温度REMD(T-REMD)所需的副本数量要少得多,为达到类似的交换率,需要减少约70%。尽管ossPTMetaD不符合详细的平衡条件,但它提供了与T-REMD和实验数据一致的结果。ossPTMetaD对蛋白质系统的大规模构象变化的高度可及性,尤其是在模拟蛋白激酶的非常具有挑战性的DFG基序翻转时,证明了其在描述大规模蛋白质构象变化途径和相关自由能谱方面的高效性和鲁棒性。

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