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高通量虚拟筛选揭示 SARS-CoV-2 多靶结合天然化合物,为 COVID-19 治疗提供即时治疗的先导药物。

High throughput virtual screening reveals SARS-CoV-2 multi-target binding natural compounds to lead instant therapy for COVID-19 treatment.

机构信息

Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Kishangarh, 305817 Ajmer, Rajasthan, India.

Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Kishangarh, 305817 Ajmer, Rajasthan, India.

出版信息

Int J Biol Macromol. 2020 Oct 1;160:1-17. doi: 10.1016/j.ijbiomac.2020.05.184. Epub 2020 May 26.

Abstract

The present-day world is severely suffering from the recently emerged SARS-CoV-2. The lack of prescribed drugs for the deadly virus has stressed the likely need to identify novel inhibitors to alleviate and stop the pandemic. In the present high throughput virtual screening study, we used in silico techniques like receptor-ligand docking, Molecular dynamic (MD), and ADME properties to screen natural compounds. It has been documented that many natural compounds display antiviral activities, including anti-SARS-CoV effect. The present study deals with compounds of Natural Product Activity and Species Source (NPASS) database with known biological activity that probably impedes the activity of six essential enzymes of the virus. Promising drug-like compounds were identified, demonstrating better docking score and binding energy for each druggable targets. After an extensive screening analysis, three novel multi-target natural compounds were predicted to subdue the activity of three/more major drug targets simultaneously. Concerning the utility of natural compounds in the formulation of many therapies, we propose these compounds as excellent lead candidates for the development of therapeutic drugs against SARS-CoV-2.

摘要

当今世界深受最近出现的 SARS-CoV-2 的影响。针对这种致命病毒,目前尚无规定的药物,这凸显了确定新型抑制剂以缓解和阻止大流行的迫切需要。在目前的高通量虚拟筛选研究中,我们使用了受体配体对接、分子动力学(MD)和 ADME 特性等计算技术来筛选天然化合物。有文献记载,许多天然化合物具有抗病毒活性,包括抗 SARS-CoV 作用。本研究涉及具有已知生物活性的天然产物活性和物种来源(NPASS)数据库中的化合物,这些化合物可能会抑制病毒的六种必需酶的活性。确定了有前途的类药性化合物,这些化合物对每个可成药靶标表现出更好的对接评分和结合能。经过广泛的筛选分析,预测三种新型多靶天然化合物可同时抑制三种/更多主要药物靶标的活性。鉴于天然化合物在许多疗法制剂中的应用,我们建议将这些化合物作为针对 SARS-CoV-2 开发治疗药物的优秀先导候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6677/7250083/1510a54116ce/gr1_lrg.jpg

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