IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Eric Fagerberg, Da-Wei Li, Rafael Brüschweiler
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引用次数: 0

摘要

分子动力学(MD)模拟蛋白质的成功与否关键取决于应用力场的准确性。在这里,我们以实验线圈库中的构象二面角分布为目标,以特定残基的方式改进了侧链 χ1 二面角电位,从而修改了 AMBER 家族的 ff99SBnmr2 力场。根据观察到的母力场与线圈库的明显偏差,对 7 种氨基酸的 χ1 二面角电位进行了修改,即 Val、Ser、His、Asn、Trp、Tyr 和 Phe。新力场被命名为ff99SBnmr2Chi1,并以变性蛋白质的核磁共振衍生χ1旋转体群为基准进行了测试,结果总体上更加一致,而且对折叠蛋白质的模拟质量没有任何明显的不利影响。新力场可通过折叠和未折叠蛋白质系统的 MD 对蛋白质侧链特性进行更逼真的建模,例如更好地进行蛋白质-蛋白质和蛋白质-配体相互作用的体内表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coil-Library-Derived Amino-Acid-Specific Side-Chain χ1 Dihedral Angle Potentials for AMBER-Type Protein Force Field.

The successful simulation of proteins by molecular dynamics (MD) critically depends on the accuracy of the applied force field. Here, we modify the AMBER-family ff99SBnmr2 force field through improvements to the side-chain χ1 dihedral angle potentials in a residue-specific manner using conformational dihedral angle distributions from an experimental coil library as targets. Based on significant deviations observed for the parent force field with respect to the coil library, the χ1 dihedral angle potentials of seven amino acids were modified, namely, Val, Ser, His, Asn, Trp, Tyr, and Phe. The new force field, named ff99SBnmr2Chi1, was benchmarked against NMR-derived χ1 rotamer populations of denatured proteins, overall resulting in much better agreement and without any noticeable adverse consequences on the quality of the simulation of folded proteins. The new force field should allow more realistic modeling of protein side-chain properties by MD of both folded and unfolded protein systems, such as for the better in-silico characterization of protein-protein and protein-ligand interactions.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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