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通过计算机筛选鉴定植物来源的抗病毒生物碱作为新型冠状病毒主要蛋白酶和刺突糖蛋白的双重抑制剂

Identifying plant-derived antiviral alkaloids as dual inhibitors of SARS-CoV-2 main protease and spike glycoprotein through computational screening.

作者信息

Yamin Ramsha, Ahmad Iqra, Khalid Hira, Perveen Asia, Abbasi Sumra Wajid, Nishan Umar, Sheheryar Sheheryar, Moura Arlindo Alencar, Ahmed Sarfraz, Ullah Riaz, Ali Essam A, Shah Mohibullah, Chandra Ojha Suvash

机构信息

Department of Biochemistry, Bahauddin Zakariya University, Multan, Pakistan.

Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, Pakistan.

出版信息

Front Pharmacol. 2024 Jul 17;15:1369659. doi: 10.3389/fphar.2024.1369659. eCollection 2024.

Abstract

COVID-19 is currently considered the ninth-deadliest pandemic, spreading through direct or indirect contact with infected individuals. It has imposed a consistent strain on both the financial and healthcare resources of many countries. To address this challenge, there is a pressing need for the development of new potential therapeutic agents for the treatment of this disease. To identify potential antiviral agents as novel dual inhibitors of SARS-CoV-2, we retrieved 404 alkaloids from 12 selected medicinal antiviral plants and virtually screened them against the renowned catalytic sites and favorable interacting residues of two essential proteins of SARS-CoV-2, namely, the main protease and spike glycoprotein. Based on docking scores, 12 metabolites with dual inhibitory potential were subjected to drug-likeness, bioactivity scores, and drug-like ability analyses. These analyses included the ligand-receptor stability and interactions at the potential active sites of target proteins, which were analyzed and confirmed through molecular dynamic simulations of the three lead metabolites. We also conducted a detailed binding free energy analysis of pivotal SARS-CoV-2 protein inhibitors using molecular mechanics techniques to reveal their interaction dynamics and stability. Overall, our results demonstrated that 12 alkaloids, namely, adouetine Y, evodiamide C, ergosine, hayatinine, (+)-homoaromoline, isatithioetherin C, N,alpha-L-rhamnopyranosyl vincosamide, pelosine, reserpine, toddalidimerine, toddayanis, and zanthocadinanine, are shortlisted as metabolites based on their interactions with target proteins. All 12 lead metabolites exhibited a higher unbound fraction and therefore greater distribution compared with the standards. Particularly, adouetine Y demonstrated high docking scores but exhibited a nonspontaneous binding profile. In contrast, ergosine and evodiamide C showed favorable binding interactions and superior stability in molecular dynamics simulations. Ergosine demonstrated exceptional performance in several key pharmaceutical metrics. Pharmacokinetic evaluations revealed that ergosine exhibited pronounced bioactivity, good absorption, and optimal bioavailability. Additionally, it was predicted not to cause skin sensitivity and was found to be non-hepatotoxic. Importantly, ergosine and evodiamide C emerged as superior drug candidates for dual inhibition of SARS-CoV-2 due to their strong binding affinity and drug-like ability, comparable to known inhibitors like N3 and molnupiravir. This study is limited by its nature and demands the need for future and studies to confirm these findings.

摘要

新冠病毒(COVID-19)目前被认为是第九大致命的大流行病,通过与感染者直接或间接接触传播。它给许多国家的财政和医疗资源都带来了持续的压力。为应对这一挑战,迫切需要开发治疗该疾病的新型潜在治疗药物。为了确定作为新型SARS-CoV-2双重抑制剂的潜在抗病毒药物,我们从12种选定的药用抗病毒植物中提取了404种生物碱,并针对SARS-CoV-2的两种关键蛋白(即主要蛋白酶和刺突糖蛋白)的著名催化位点和有利的相互作用残基进行了虚拟筛选。基于对接分数,对12种具有双重抑制潜力的代谢物进行了类药性、生物活性评分和类药能力分析。这些分析包括配体-受体稳定性以及在靶蛋白潜在活性位点的相互作用,通过对三种先导代谢物的分子动力学模拟进行了分析和确认。我们还使用分子力学技术对关键的SARS-CoV-2蛋白抑制剂进行了详细的结合自由能分析,以揭示它们的相互作用动力学和稳定性。总体而言,我们的结果表明,12种生物碱,即阿豆亭Y、吴茱萸酰胺C、麦角新碱、海他灵碱、(+)-高芳莫林、异硫醚靛玉红C、N,α-L-鼠李糖基长春酰胺、佩洛辛、利血平、托达利二聚碱、托达亚尼和花椒卡迪宁,基于它们与靶蛋白的相互作用被列为代谢物。与标准品相比,所有12种先导代谢物均表现出更高的游离分数,因此分布更广。特别是,阿豆亭Y显示出高对接分数,但表现出非自发的结合特征。相比之下,麦角新碱和吴茱萸酰胺C在分子动力学模拟中表现出良好的结合相互作用和卓越的稳定性。麦角新碱在几个关键的药学指标上表现出色。药代动力学评估显示,麦角新碱具有显著的生物活性、良好的吸收和最佳的生物利用度。此外,预计它不会引起皮肤过敏,且无肝毒性。重要的是,麦角新碱和吴茱萸酰胺C由于其强大的结合亲和力和类药能力,成为双重抑制SARS-CoV-2的优质候选药物,可与N3和莫努匹拉韦等已知抑制剂相媲美。本研究受其性质所限,需要未来进一步的研究来证实这些发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f4a/11288853/b316f97e6a1b/fphar-15-1369659-g001.jpg

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