Comparative docking studies of drugs and phytocompounds for emerging variants of SARS-CoV-2

被引:10
|
作者
Chugh, Ananya [1 ]
Sehgal, Ishita [1 ]
Khurana, Nimisha [1 ]
Verma, Kangna [1 ]
Rolta, Rajan [2 ]
Vats, Pranjal [3 ]
Salaria, Deeksha [2 ]
Fadare, Olatomide A. [4 ]
Awofisayo, Oladoja [5 ]
Verma, Anita [1 ]
Phartyal, Rajendra [1 ]
Verma, Mansi [6 ]
机构
[1] Univ Delhi, Sri Venkateswara Coll, New Delhi 110021, India
[2] Post Grad Inst Med Educ & Res, Dept Pharmacol, Chandigarh 160012, India
[3] Univ Manchester, Sch Biol Sci, Oxford Rd, Manchester M13 9PL, England
[4] Obafemi Awolowo Univ, Dept Chem, Organ Chem Res Lab, Osun 220282, Nigeria
[5] Univ Uyo, Dept Pharmaceut & Med Chem, Uyo 520003, Nigeria
[6] Univ Delhi, Hansraj Coll, Dept Zool, Delhi 110007, India
关键词
COVID-19; Variants; Drug repurposing; Docking; Phytocompounds; MD Simulation; CORONAVIRUS; IVERMECTIN; INFECTION;
D O I
10.1007/s13205-022-03450-6
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
In the last three years, COVID-19 has impacted the world with back-to-back waves leading to devastating consequences. SARS-CoV-2, the causative agent of COVID-19, was first detected in 2019 and since then has spread to 228 countries. Even though the primary focus of research groups was diverted to fight against COVID-19, yet no dedicated drug has been developed to combat the emergent life-threatening medical conditions. In this study, 35 phytocompounds and 43 drugs were investigated for comparative docking analysis. Molecular docking and virtual screening were performed against SARS-CoV-2 spike glycoprotein of 13 variants using AutoDock Vina tool 1.5.6 and Discovery Studio, respectively, to identify the most efficient drugs. Selection of the most suitable compounds with the best binding affinity was done after screening for toxicity, ADME (absorption, distribution, metabolism and excretion) properties and drug-likeliness. The potential candidates were discovered to be Liquiritin (binding affinities ranging between -7.0 and -8.1 kcal/mol for the 13 variants) and Apigenin (binding affinities ranging between -6.8 and -7.3 kcal/mol for the 13 variants) based on their toxicity and consistent binding affinity with the Spike protein of all variants. The stability of the protein-ligand complex was determined using Molecular dynamics (MD) simulation of Apigenin with the Delta plus variant of SARS-CoV-2. Furthermore, Liquiritin and Apigenin were also found to be less toxic than the presently used drugs and showed promising results based on in silico studies, though, confirmation using in vitro studies is required. This in-depth comparative investigation suggests potential drug candidates to fight against SARS-CoV-2 variants.
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页数:17
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