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通过对接、分子动力学和自由能计算揭示 CsrA-RNA 相互作用抑制的结构见解。

Structural Insight into Inhibition of CsrA-RNA Interaction Revealed by Docking, Molecular Dynamics and Free Energy Calculations.

机构信息

Department of Pharmacy, Guizhou Provincial People's Hospital, Guiyang, 550002, P.R. China.

College of Pharmacy, Southwest University for Nationalities, Chengdu, 610041, P.R. China.

出版信息

Sci Rep. 2017 Nov 2;7(1):14934. doi: 10.1038/s41598-017-14916-6.

Abstract

The carbon storage regulator A (CsrA) and its homologs play an important role in coordinating the expression of bacterial virulence factors required for successful host infection. In addition, bacterial pathogens with deficiency of CsrA are typically attenuated for virulence. In 2016, the first series of small-molecule inhibitors of CsrA-RNA interaction were identified, which were found to achieve the CsrA-RNA inhibition by binding to the CsrA, without interfering with the RNA. However, the binding mechanism of these inhibitors of CsrA is not known. Herein, we applied molecular docking, molecular dynamics and binding free energy calculations to investigate the binding mode of inhibitors to CsrA. We found that the G(RNA)-binding site is the most important binding site for CsrA inhibitors. An inhibitor with the proper size range can bind to that site and form a stable complex. We also found that inhibitors with larger size ranges bind to the entire CsrA-RNA interface, but have loose binding. However, this loose binding still resulted in inhibitory activity. The calculated binding free energy from MM/GBSA has a good correlation with the derived experimental binding energy, which might be used as a tool to further select CsrA inhibitors after a first-round of high-throughput virtual screening.

摘要

碳储存调节剂 A (CsrA) 及其同源物在协调细菌毒力因子的表达方面发挥着重要作用,这些因子是成功感染宿主所必需的。此外,缺乏 CsrA 的细菌病原体通常其毒力会减弱。2016 年,首次鉴定出 CsrA-RNA 相互作用的小分子抑制剂系列,这些抑制剂通过与 CsrA 结合而实现 CsrA-RNA 抑制,而不干扰 RNA。然而,这些 CsrA 抑制剂的结合机制尚不清楚。在此,我们应用分子对接、分子动力学和结合自由能计算来研究抑制剂与 CsrA 的结合模式。我们发现,G(RNA)-结合位点是 CsrA 抑制剂的最重要结合位点。具有适当大小范围的抑制剂可以结合该位点并形成稳定的复合物。我们还发现,具有较大大小范围的抑制剂结合到整个 CsrA-RNA 界面,但结合较松散。然而,这种松散的结合仍然具有抑制活性。从 MM/GBSA 计算出的结合自由能与实验得出的结合能具有良好的相关性,这可能成为在高通量虚拟筛选的第一轮之后进一步选择 CsrA 抑制剂的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d16/5668361/341512e8b276/41598_2017_14916_Fig1_HTML.jpg

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