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SAMPL7 三聚体三聚物结合构象和结合亲和力的球坐标偏置模拟。

SAMPL7 TrimerTrip host-guest binding poses and binding affinities from spherical-coordinates-biased simulations.

机构信息

State Key Laboratory of Precision Spectroscopy, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200062, China.

出版信息

J Comput Aided Mol Des. 2021 Jan;35(1):105-115. doi: 10.1007/s10822-020-00335-9. Epub 2020 Aug 10.

DOI:10.1007/s10822-020-00335-9
PMID:32776199
Abstract

Host-guest binding remains a major challenge in modern computational modelling. The newest 7th statistical assessment of the modeling of proteins and ligands (SAMPL) challenge contains a new series of host-guest systems. The TrimerTrip host binds to 16 structurally diverse guests. Previously, we have successfully employed the spherical coordinates as the collective variables coupled with the enhanced sampling technique metadynamics to enhance the sampling of the binding/unbinding event, search for possible binding poses and calculate the binding affinities in all three host-guest binding cases of the 6th SAMPL challenge. In this work, we report a retrospective study on the TrimerTrip host-guest systems by employing the same protocol to investigate the TrimerTrip host in the SAMPL7 challenge. As no binding pose is provided by the SAMPL7 host, our simulations initiate from randomly selected configurations and are proceeded long enough to obtain converged free energy estimates and search for possible binding poses. The calculated binding affinities are in good agreement with the experimental reference, and the obtained binding poses serve as a nice starting point for end-point or alchemical free energy calculations. Note that as the work is performed after the close of the SAMPL7 challenge, we do not participate in the challenge and the results are not formally submitted to the SAMPL7 challenge.

摘要

主体-客体结合仍然是现代计算建模的主要挑战。最新的第 7 次蛋白质和配体建模统计评估 (SAMPL) 挑战包含了一系列新的主体-客体系统。TrimerTrip 主体与 16 种结构不同的客体结合。此前,我们已成功地将球坐标作为集体变量,并结合增强采样技术元动力学来增强结合/解吸事件的采样,寻找可能的结合构象,并在第六届 SAMPL 挑战赛的所有三个主体-客体结合情况下计算结合亲和力。在这项工作中,我们通过使用相同的方案,对 TrimerTrip 主体-客体系统进行了回顾性研究,以调查 SAMPL7 挑战中的 TrimerTrip 主体。由于 SAMPL7 主体没有提供结合构象,我们的模拟从随机选择的构型开始,并进行足够长的时间以获得收敛的自由能估计值,并寻找可能的结合构象。计算出的结合亲和力与实验参考值吻合良好,得到的结合构象为终点或变分自由能计算提供了良好的起点。请注意,由于这项工作是在 SAMPL7 挑战赛结束后进行的,我们不参与挑战赛,并且结果也没有正式提交给 SAMPL7 挑战赛。

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2
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Phys Chem Chem Phys. 2020 Jan 21;22(3):1511-1524. doi: 10.1039/c9cp05980f. Epub 2019 Dec 24.
3
BAR-based multi-dimensional nonequilibrium pulling for indirect construction of QM/MM free energy landscapes: from semi-empirical to ab initio.
羧化[6]芳烃主体-客体键合中末端自由能技术的综合评价:III. 力场比较、三轨迹实现和进一步的介电增强。
Molecules. 2023 Mar 19;28(6):2767. doi: 10.3390/molecules28062767.
4
DFT-D4 Insight into the Inclusion of Amphetamine and Methamphetamine in Cucurbit[7]uril: Energetic, Structural and Biosensing Properties.DFT-D4 对苯并[7]轮烷包合苯丙胺和甲基苯丙胺的深入研究:能量学、结构和生物传感性能。
Molecules. 2021 Dec 10;26(24):7479. doi: 10.3390/molecules26247479.
5
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J Comput Aided Mol Des. 2021 Jul;35(7):841-851. doi: 10.1007/s10822-021-00402-9. Epub 2021 Jun 24.
6
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J Comput Aided Mol Des. 2021 May;35(5):643-656. doi: 10.1007/s10822-021-00382-w. Epub 2021 Mar 24.
基于 BAR 的多维非平衡拉曼进动法:从半经验到从头算间接构建 QM/MM 自由能面。
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4
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5
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6
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J Mol Graph Model. 2019 Sep;91:10-21. doi: 10.1016/j.jmgm.2019.05.011. Epub 2019 May 17.
7
Understanding PIM-1 kinase inhibitor interactions with free energy simulation.理解 PIM-1 激酶抑制剂与自由能模拟的相互作用。
Phys Chem Chem Phys. 2019 Apr 3;21(14):7544-7558. doi: 10.1039/c9cp00070d.
8
BAR-based multi-dimensional nonequilibrium pulling for indirect construction of a QM/MM free energy landscape.基于 BAR 的多维非平衡牵引技术间接构建 QM/MM 自由能景观。
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9
BAR-based optimum adaptive steered MD for configurational sampling.基于 BAR 的最优自适应导向 MD 用于构象采样。
J Comput Chem. 2019 May 5;40(12):1270-1289. doi: 10.1002/jcc.25784. Epub 2019 Feb 14.
10
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J Comput Aided Mol Des. 2018 Oct;32(10):937-963. doi: 10.1007/s10822-018-0170-6. Epub 2018 Nov 10.