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通过先进的计算药理学方法鉴定有效的食物成分作为 SARS-CoV-2 木瓜蛋白酶样蛋白酶调节剂。

Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches.

机构信息

Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata, 700009, India.

Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata, 700009, India.

出版信息

J Mol Graph Model. 2022 Mar;111:108113. doi: 10.1016/j.jmgm.2021.108113. Epub 2021 Dec 21.

Abstract

The current ongoing pandemic of COVID-19 urges immediate treatment measures for controlling the highly contagious SARS-CoV-2 infections. The papain-like protease (PLpro), which is released from nsp3, is presently being evaluated as a significant anti-viral drug target for COVID-19 therapy development. Particularly, PLpro is implicated in the cleavage of viral polyproteins and antagonizes the host innate immune response through its deubiquitinating and deISGylating actions, thus making it a high-profile antiviral therapeutic target. The present study reports a few specific food compounds that can bind tightly with the SARS-CoV-2 PLpro protein identified through extensive computational screening techniques. Precisely, extensive advanced computational approaches combining target-based virtual screening, particularly employing sub-structure based similarity search, molecular docking, molecular dynamics (MD) simulations, and MM-GBSA based binding free energy calculations have been employed for the identification of the most promising food compounds with substantial functional implications as SARS-CoV-2 PLpro protein inhibitors/modulators. Observations from the present research investigation also provide a deeper understanding of the binding modes of the proposed four food compounds with SARS-CoV-2 PLpro protein. In docking analyses, all compounds have established essential inter-molecular interaction profiles at the active site cavity of the SARS-CoV-2 PLpro protein. Similarly, the long-range 100 ns conventional MD simulation studies also provided an in-depth understanding of probable interactions and dynamic behaviour of the SARS-CoV-2 PLpro protein-food compound complexes. Binding free energies of all molecular systems revealed a strong interaction affinity of food compounds towards the SARS-CoV-2 PLpro protein. Moreover, clear-cut comparative analyses against the known standard inhibitor also suggest that proposed food compounds may act as potential active chemical entities for modulating the action of the SARS-CoV-2 PLpro protein.

摘要

当前 COVID-19 的大流行迫切需要采取治疗措施来控制高传染性的 SARS-CoV-2 感染。目前,从 nsp3 释放的木瓜蛋白酶样蛋白酶(PLpro)被评估为 COVID-19 治疗开发的重要抗病毒药物靶标。特别是,PLpro 参与病毒多蛋白的切割,并通过去泛素化和去 ISGylating 作用拮抗宿主先天免疫反应,因此成为一个备受关注的抗病毒治疗靶标。本研究通过广泛的计算筛选技术,报告了一些可以与 SARS-CoV-2 PLpro 蛋白紧密结合的特定食物化合物。具体来说,采用了广泛的先进计算方法,包括基于靶标的虚拟筛选,特别是基于子结构的相似性搜索、分子对接、分子动力学(MD)模拟和基于 MM-GBSA 的结合自由能计算,用于鉴定具有重要功能意义的最有前途的食物化合物作为 SARS-CoV-2 PLpro 蛋白抑制剂/调节剂。本研究还提供了对所提出的四种食物化合物与 SARS-CoV-2 PLpro 蛋白结合模式的更深入理解。在对接分析中,所有化合物在 SARS-CoV-2 PLpro 蛋白的活性位点腔中都建立了重要的分子间相互作用模式。同样,长达 100 ns 的常规 MD 模拟研究也深入了解了 SARS-CoV-2 PLpro 蛋白-食物化合物复合物的可能相互作用和动态行为。所有分子系统的结合自由能揭示了食物化合物对 SARS-CoV-2 PLpro 蛋白的强烈相互作用亲和力。此外,与已知标准抑制剂的明确比较分析表明,所提出的食物化合物可能作为调节 SARS-CoV-2 PLpro 蛋白作用的潜在有效化学实体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/adf1/8688376/938b3d2fd772/ga1_lrg.jpg

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