Batra Bhavika, Srinivasan Suchetha, Gopalakrishnan Santhana Gopalakrishnan, Patel Chirag N, Kumar Vikas, Sourirajan Anuradha, Dev Kamal
Faculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Solan, Himachal Pradesh, India.
Center for Cancer Research, National Cancer Institute, National Institute of Health, Bethesda, Maryland, USA.
J Biomol Struct Dyn. 2023;41(22):12880-12907. doi: 10.1080/07391102.2023.2169761. Epub 2023 Jan 23.
SARS-CoV-2 has mutated many times among different populations. We analyzed wild-type spike protein and 18 different variants of SARS-CoV-2 spike protein known until the beginning of 2022 (alpha, beta, B.1.429, B.1.616, B.1.620, B.1.617.3, C.1.2, delta, epsilon, eta, gamma, iota, kappa, lambda, mu, omicron, theta, and zeta) for their interaction with 16 phytocompounds and remdesivir, resulting into 425 combinations. The largest number of mutations has been reported in the omicron followed by delta variant. However, the virulence of the delta variant has been reported higher as compared to omicron. Mutations at a few locations (D215G, K417N, E484K, N501Y, D614G, and P681H) were common in most of the variants. 3 D structures of all the 18 spike proteins were created using SWISS-MODEL to test the binding affinities with caffeine theophylline, emodin, vitexin, berberine, curcumin, piperine, quercetin, artemisinin, carvacrol, capsaicin, tetrahydrocannabinol, cannabidiol, α- pinene, β- pinene and gingerol. Phytocompounds and mutant variants were prepared using AutoDock 4.2.6 software. Binding affinities of the selected phytocompounds with the different mutant spike proteins were achieved using AutoDock Vina. Out of all combinations investigated, the best binding affinities were observed with 3 variants of SAR-CoV-2 with 5 phytocompounds along with remdesivir. The range of best binding energies varied from -9.1 to -8.0 kcal/mol. Further, MD simulation was done for selected 9 phytocompound-spike mutant complexes for analyzing the stability of interactions for 100 ns. ADMET studies via ProTox-II and SwissADME displayed that phytocompounds are safe and less toxic in comparison to remdesivir.Communicated by Ramaswamy H. Sarma.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)在不同人群中发生了多次变异。我们分析了野生型刺突蛋白以及截至2022年初已知的18种不同的SARS-CoV-2刺突蛋白变体(阿尔法、贝塔、B.1.429、B.1.616、B.1.620、B.1.617.3、C.1.2、德尔塔、伊普西龙、伊塔、伽马、约塔、卡帕、拉姆达、缪、奥密克戎、西塔和泽塔)与16种植物化合物及瑞德西韦的相互作用,共产生425种组合。奥密克戎变体报告的突变数量最多,其次是德尔塔变体。然而,据报道,德尔塔变体的毒力高于奥密克戎。在大多数变体中,一些位置(D215G、K417N、E484K、N501Y、D614G和P681H)的突变很常见。使用SWISS-MODEL创建了所有18种刺突蛋白的三维结构,以测试其与咖啡因、茶碱、大黄素、牡荆素、黄连素、姜黄素、胡椒碱、槲皮素、青蒿素、香芹酚、辣椒素、四氢大麻酚、大麻二酚、α-蒎烯、β-蒎烯和姜辣素的结合亲和力。使用AutoDock 4.2.6软件制备植物化合物和突变变体。使用AutoDock Vina获得所选植物化合物与不同突变刺突蛋白的结合亲和力。在所有研究的组合中,观察到SARS-CoV-2的3种变体与5种植物化合物以及瑞德西韦具有最佳结合亲和力。最佳结合能范围为-9.1至-8.0千卡/摩尔。此外,对选定的9种植物化合物-刺突突变体复合物进行了分子动力学模拟,以分析100纳秒内相互作用的稳定性。通过ProTox-II和SwissADME进行的药物代谢动力学、药物代谢和毒性研究表明,与瑞德西韦相比,植物化合物安全且毒性较小。由拉马斯瓦米·H·萨尔马传达。