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针对流感聚合酶 PB2 的帽结合结构域的抗病毒化合物的发现的结构和自由能景观分析。

Structural and free energy landscape analysis for the discovery of antiviral compounds targeting the cap-binding domain of influenza polymerase PB2.

机构信息

Department of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, 81442, Hail, Saudi Arabia.

Department of Pharmaceutical Chemistry, Egyptian Drug Authority, Giza, Egypt.

出版信息

Sci Rep. 2024 Oct 25;14(1):25441. doi: 10.1038/s41598-024-69816-3.

Abstract

Influenza poses a significant threat to global health, with the ability to cause severe epidemics and pandemics. The polymerase basic protein 2 (PB2) of the influenza virus plays a crucial role in the viral replication process, making the CAP-binding domain of PB2 an attractive target for antiviral drug development. This study aimed to identify and evaluate potential inhibitors of the influenza polymerase PB2 CAP-binding domain using computational drug discovery methods. We employed a comprehensive computational approach involving virtual screening, molecular docking, and 500 ns molecular dynamics (MD) simulations. Compounds were selected from the Diverse lib database and assessed for their binding affinity and stability in interaction with the PB2 CAP-binding domain. The study utilized the generalized amber force field (GAFF) for MD simulations to further evaluate the dynamic behaviour and stability of the interactions. Among the screened compounds, compounds 1, 3, and 4 showed promising binding affinities. Compound 4 demonstrated the highest binding stability and the most favourable free energy profile, indicating strong and consistent interaction with the target domain. Compound 3 displayed moderate stability with dynamic conformational changes, while Compound 1 maintained robust interactions throughout the simulations. Comparative analyses of these compounds against a control compound highlighted their potential efficacy. Compound 4 emerged as the most promising inhibitor, with substantial stability and strong binding affinity to the PB2 CAP-binding domain. These findings suggest that compound 4, along with compounds 1 and 3, holds the potential for further development into effective antiviral agents against influenza. Future studies should focus on experimental validation of these compounds and exploration of resistance mechanisms to enhance their therapeutic utility.

摘要

流感对全球健康构成重大威胁,能够引发严重的疫情和大流行。流感病毒的聚合酶碱性蛋白 2(PB2)在病毒复制过程中起着至关重要的作用,使其 CAP 结合域成为抗病毒药物开发的有吸引力的目标。本研究旨在使用计算药物发现方法鉴定和评估流感聚合酶 PB2 CAP 结合域的潜在抑制剂。我们采用了一种全面的计算方法,包括虚拟筛选、分子对接和 500ns 分子动力学(MD)模拟。从 Diverse lib 数据库中选择化合物,并评估它们与 PB2 CAP 结合域相互作用的结合亲和力和稳定性。该研究利用广义 Amber 力场(GAFF)进行 MD 模拟,以进一步评估相互作用的动态行为和稳定性。在所筛选的化合物中,化合物 1、3 和 4 表现出良好的结合亲和力。化合物 4 表现出最高的结合稳定性和最有利的自由能谱,表明与靶域具有强烈和一致的相互作用。化合物 3 表现出中等稳定性和动态构象变化,而化合物 1 在整个模拟过程中保持了强大的相互作用。与对照化合物相比,对这些化合物的比较分析突出了它们的潜在功效。化合物 4 是最有前途的抑制剂,对 PB2 CAP 结合域具有相当大的稳定性和强烈的结合亲和力。这些发现表明,化合物 4 以及化合物 1 和 3,具有进一步开发成有效的抗流感抗病毒药物的潜力。未来的研究应集中在这些化合物的实验验证和耐药机制的探索上,以提高它们的治疗效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69c4/11512052/1185a8a964a7/41598_2024_69816_Fig1_HTML.jpg

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