The accuracy of force fields on the simulation of intrinsically disordered proteins: A benchmark test on the human p53 tumor suppressor

IF 2.4 Q3 Computer Science Journal of Theoretical & Computational Chemistry Pub Date : 2020-06-01 DOI:10.1142/s021963362050011x
Shangbo Ning, Jun Liu, Na Liu, Da-zhong Yan
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引用次数: 2

Abstract

Intrinsically disordered proteins (IDPs) are a class of proteins without stable three-dimensional structures under physiological conditions. IDPs exhibit high dynamic nature and could be described by structural ensembles. As one of the most widely used tools, molecular dynamics (MD) simulation could provide the atomic descriptions of the structural ensemble of IDPs. However, the accuracy of the MD simulation largely depends on the accuracy of the force field. In this paper, we compared the structural ensembles of the activation domain 1 (AD1) in p53 tumor suppressor obtained from the widely used force fields, AMBER99SB-ILDN, CHARMM27, CHARMM36m with different water models. The results show that CHARMM36m generates more extended conformations than other force fields, while CHARMM27 prefers to sample the [Formula: see text]-helical structure. Moreover, the chemical shifts obtained by CHARMM36m are the closest to the experimental measurements. These results indicate that the CHARMM36m force field performs best in characterizing the structure properties of p53 AD1. Water models are also critical to describe the structural ensemble of IDPs. TIP4P water model can obtain more extended conformations and produce more local helical conformations than the TIP3P model in our simulation. In addition, we also compare the chemical shifts predicted by different chemical shift predicting programs with experimental measurements, the results show that SHIFTX2 obtains the best performance in the chemical shifts prediction.
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模拟内在无序蛋白的力场的准确性:对人类p53肿瘤抑制因子的基准测试
内在无序蛋白(IDPs)是一类在生理条件下没有稳定三维结构的蛋白质。国内流离失所者表现出高动态性质,可以用结构系综来描述。分子动力学(MD)模拟是目前应用最广泛的工具之一,它可以对IDPs的结构系综进行原子描述。然而,MD仿真的精度在很大程度上取决于力场的精度。在本文中,我们比较了从广泛使用的力场amber99sdb - ildn、CHARMM27、CHARMM36m不同水模型中获得的p53肿瘤抑制因子激活域1 (activation domain 1, AD1)的结构集合。结果表明,CHARMM36m比其他力场产生更多的扩展构象,而CHARMM27更倾向于采样[公式:见文]-螺旋结构。此外,CHARMM36m获得的化学位移与实验测量最接近。这些结果表明,CHARMM36m力场最能表征p53 AD1的结构特性。水模型对于描述国内流离失所者的结构集合也至关重要。在我们的模拟中,与TIP3P模型相比,TIP4P水模型可以获得更多的扩展构象和产生更多的局部螺旋构象。此外,我们还将不同化学位移预测程序预测的化学位移与实验测量结果进行了比较,结果表明SHIFTX2在化学位移预测中获得了最好的性能。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
3 months
期刊介绍: The Journal of Theoretical and Computational Chemistry (JTCC) is an international interdisciplinary journal aimed at providing comprehensive coverage on the latest developments and applications of research in the ever-expanding field of theoretical and computational chemistry. JTCC publishes regular articles and reviews on new methodology, software, web server and database developments. The applications of existing theoretical and computational methods which produce significant new insights into important problems are also welcomed. Papers reporting joint computational and experimental investigations are encouraged. The journal will not consider manuscripts reporting straightforward calculations of the properties of molecules with existing software packages without addressing a significant scientific problem. Areas covered by the journal include molecular dynamics, computer-aided molecular design, modeling effects of mutation on stability and dynamics of macromolecules, quantum mechanics, statistical mechanics and other related topics.
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