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基于虚拟筛选和分子动力学模拟的流感聚合酶 PB2 抑制剂研究。

Virtual Screening and Molecular Dynamics Simulation Study of Influenza Polymerase PB2 Inhibitors.

机构信息

Chemical Engineering and Environmental Engineering, College of Chemistry, Liaoning Shihua University, Fushun 113001, China.

Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China.

出版信息

Molecules. 2021 Nov 17;26(22):6944. doi: 10.3390/molecules26226944.

DOI:10.3390/molecules26226944
PMID:34834044
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8623395/
Abstract

Influenza A virus is the main cause of worldwide epidemics and annual influenza outbreaks in humans. In this study, a virtual screen was performed to identify compounds that interact with the PB2 cap-binding domain (CBD) of influenza A polymerase. A virtual screening workflow based on Glide docking was used to screen an internal database containing 8417 molecules, and then the output compounds were selected based on solubility, absorbance, and structural fingerprints. Of the 16 compounds selected for biological evaluation, six compounds were identified that rescued cells from H1N1 virus-mediated death at non-cytotoxic concentrations, with EC50 values ranging from 2.5-55.43 μM, and that could bind to the PB2 CBD of H1N1, with Kd values ranging from 0.081-1.53 μM. Molecular dynamics (MD) simulations of the docking complexes of our active compounds revealed that each compound had its own binding characteristics that differed from those of VX-787. Our active compounds have novel structures and unique binding modes with PB2 proteins, and are suitable to serve as lead compounds for the development of PB2 inhibitors. An analysis of the MD simulation also helped us to identify the dominant amino acid residues that play a key role in binding the ligand to PB2, suggesting that we should focus on increasing and enhancing the interaction between inhibitors and these major amino acids during lead compound optimization to obtain more active PB2 inhibitors.

摘要

甲型流感病毒是导致全球大流行和人类季节性流感爆发的主要原因。在这项研究中,进行了虚拟筛选,以鉴定与甲型流感聚合酶的 PB2 帽结合域 (CBD) 相互作用的化合物。使用基于 Glide 对接的虚拟筛选工作流程筛选了包含 8417 个分子的内部数据库,然后根据溶解度、吸收率和结构指纹选择输出化合物。在选择用于生物学评估的 16 种化合物中,鉴定出 6 种化合物在非细胞毒性浓度下可挽救 H1N1 病毒介导的细胞死亡,EC50 值范围为 2.5-55.43 μM,并且可以与 H1N1 的 PB2 CBD 结合,Kd 值范围为 0.081-1.53 μM。对接复合物的分子动力学 (MD) 模拟表明,我们的活性化合物中的每种化合物都具有与其不同的结合特征 VX-787。我们的活性化合物具有新颖的结构和与 PB2 蛋白独特的结合模式,适合作为 PB2 抑制剂开发的先导化合物。对 MD 模拟的分析还有助于我们确定在结合配体到 PB2 中起关键作用的主要氨基酸残基,这表明在先导化合物优化过程中,我们应重点增强和增强抑制剂与这些主要氨基酸之间的相互作用,以获得更有效的 PB2 抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/dd07680cd2c3/molecules-26-06944-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/276992de1e96/molecules-26-06944-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/d5715eaba297/molecules-26-06944-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/cd2729e4f94c/molecules-26-06944-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/ea5d0287f6b4/molecules-26-06944-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/5b25dc4c834b/molecules-26-06944-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/d63a59064978/molecules-26-06944-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/dd07680cd2c3/molecules-26-06944-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/276992de1e96/molecules-26-06944-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/d5715eaba297/molecules-26-06944-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/cd2729e4f94c/molecules-26-06944-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/ea5d0287f6b4/molecules-26-06944-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/5b25dc4c834b/molecules-26-06944-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/d63a59064978/molecules-26-06944-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220e/8623395/dd07680cd2c3/molecules-26-06944-g007.jpg

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