Sun Yue, Yang Angela Wei Hong, Hung Andrew, Lenon George Binh
School of Health and Biomedical Sciences, RMIT University, Melbourne 3083, Australia.
School of Science, RMIT University, Melbourne 3083, Australia.
Evid Based Complement Alternat Med. 2020 Dec 24;2020:3219840. doi: 10.1155/2020/3219840. eCollection 2020.
COVID-19 caused by SARS-CoV-2 infection has been spreading through many countries since the end of 2019. The 4 edition of the national guidelines for the management of COVID-19 provides an herbal formula with 9 herbs for its management. . We aimed to predict the mechanism of binding of SARS-CoV-2 and SARS-CoV spike glycoproteins with angiotensin-converting enzyme 2 (ACE2) to provide a molecular-level explanation of the higher pathogenicity of SARS-CoV-2 and to identify protein sites which may be targeted by therapeutic agents to disrupt virus-host interactions. Subsequently, we aimed to investigate the formula for the initial-stage management to identify a therapeutic agent with the most likely potential to become pharmaceutical candidate for the management of this disease.
GenBank and SWISS-MODEL were applied for model creation. ClusPro was used for protein-protein docking. PDBePISA was applied for identification of possible binding sites. TCMSP was employed for identification of the chemical compounds. AutoDock Vina together with PyRx was used for the prediction and evaluation of binding pose and affinity to ACE2. SwissADME and PreADME were applied to screening and prediction of the pharmacokinetic properties of the identified chemical compounds. PyMOL was used to visualise the structural models of SARS-CoV-2 and SARS-CoV spike glycoproteins complexed to ACE2 and to examine their interactions.
SARS-CoV-2 had two chains (labelled chains B and C) which were predicted to bind with ACE2. In comparison, the SARS-CoV had only one chain (labelled chain C) predicted to bind with ACE2. The spike glycoproteins of both viruses were predicted to bind with ACE2 via position 487. Molecular docking screening and pharmacokinetic property prediction of the herbal compounds indicated that atractylenolide III (-9.1 kcal/mol) from (Cangzhu) may be a candidate therapeutic agent for initial-stage management.
Atractylenolide III is predicted to have a strong binding affinity with ACE2 and eligible pharmacokinetic properties, anti-inflammatory effects and antiviral effects in study, and high distribution on the lungs in study.
自2019年底以来,由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染引起的2019冠状病毒病(COVID-19)已在许多国家传播。第4版COVID-19国家诊疗方案提供了一种由9味中药组成的方剂用于其治疗。我们旨在预测SARS-CoV-2和SARS-CoV刺突糖蛋白与血管紧张素转换酶2(ACE2)的结合机制,以从分子水平解释SARS-CoV-2较高的致病性,并确定可能被治疗药物靶向以破坏病毒-宿主相互作用的蛋白位点。随后,我们旨在研究初期治疗方剂,以确定最有可能成为该病治疗候选药物的治疗剂。
应用GenBank和SWISS-MODEL进行模型创建。使用ClusPro进行蛋白质-蛋白质对接。应用PDBePISA识别可能的结合位点。采用中药系统药理学数据库与分析平台(TCMSP)识别化合物。使用AutoDock Vina和PyRx预测和评估与ACE2的结合构象和亲和力。应用SwissADME和PreADME筛选和预测所鉴定化合物的药代动力学性质。使用PyMOL可视化与ACE2复合的SARS-CoV-2和SARS-CoV刺突糖蛋白的结构模型,并检查它们的相互作用。
SARS-CoV-2有两条链(标记为链B和链C),预测它们会与ACE2结合。相比之下,SARS-CoV只有一条链(标记为链C)预测会与ACE2结合。两种病毒的刺突糖蛋白均预测通过第487位与ACE2结合。对中药化合物的分子对接筛选和药代动力学性质预测表明,苍术中的白术内酯III(-9.1 kcal/mol)可能是初期治疗的候选治疗剂。
在本研究中,预测白术内酯III与ACE2具有很强的结合亲和力和合格的药代动力学性质、抗炎作用和抗病毒作用,且在本研究中在肺部有较高分布。