Anti-HCV and anti-malaria agent, potential candidates to repurpose for coronavirus infection: Virtual screening, molecular docking, and molecular dynamics simulation study

被引:58
作者
Hosseini, Faezeh Sadat [1 ]
Amanlou, Massoud [1 ,2 ]
机构
[1] Univ Tehran Med Sci, Fac Pharm, Dept Med Chem, Tehran, Iran
[2] Univ Tehran Med Sci, Expt Med Res Ctr, Tehran, Iran
基金
美国国家科学基金会;
关键词
COVID-19; Simeprevir; Repurpose; Virtual screening; Docking; Molecular dynamics simulation; HEPATITIS-C; DISCOVERY; INHIBITOR;
D O I
10.1016/j.lfs.2020.118205
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Aims: Coronavirus disease 2019 (COVID-19) has appeared in Wuhan, China but the fast transmission has led to its widespread prevalence in various countries, which has made it a global concern. Another concern is the lack of definitive treatment for this disease. The researchers tried different treatment options which are not specific. The current study aims to identify potential small molecule inhibitors against the main protease protein of SARSCoV-2 by the computational approach. Main methods: In this study, a virtual screening procedure employing docking of the two different datasets from the ZINC database, including 1615 FDA approved drugs and 4266 world approved drugs were used to identify new potential small molecule inhibitors for the newly released crystal structure of main protease protein of SARS-CoV-2. In the following to validate the docking result, molecular dynamics simulations were applied on selected ligands to identify the behavior and stability of them in the binding pocket of the main protease in 150 nanoseconds (ns). Furthermore, binding energy using the MMPBSA approach was also calculated. Key findings: The result indicates that simeprevir (Hepatitis C virus NS3/4A protease inhibitor) and pyronaridine (antimalarial agent) could fit well to the binding pocket of the main protease and because of some other beneficial features including broad-spectrum antiviral properties and ADME profile, they might be a promising drug candidate for repurposing to the treatment of COVID-19. Significance: Simeprevir and pyronaridine were selected by the combination of virtual screening and molecular dynamics simulation approaches as a potential candidate for treatment of COVID-19.
引用
收藏
页数:13
相关论文
共 45 条
[1]   Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers [J].
Abraham, Mark James ;
Murtola, Teemu ;
Schulz, Roland ;
Páll, Szilárd ;
Smith, Jeremy C. ;
Hess, Berk ;
Lindah, Erik .
SoftwareX, 2015, 1-2 :19-25
[2]   Coronavirus Susceptibility to the Antiviral Remdesivir (GS-5734) Is Mediated by the Viral Polymerase and the Proofreading Exoribonuclease [J].
Agostini, Maria L. ;
Andres, Erica L. ;
Sims, Amy C. ;
Graham, Rachel L. ;
Sheahan, Timothy P. ;
Lu, Xiaotao ;
Smith, Everett Clinton ;
Case, James Brett ;
Feng, Joy Y. ;
Jordan, Robert ;
Ray, Adrian S. ;
Cihlar, Tomas ;
Siegel, Dustin ;
Mackman, Richard L. ;
Clarke, Michael O. ;
Baric, Ralph S. ;
Denison, Mark R. .
MBIO, 2018, 9 (02)
[3]  
Alamri M.A., 2020, PHARMACOINFORMATICS
[4]  
[Anonymous], 2016, Dassault Systemes BIOVIA Discovery Studio Modeling Environment
[5]  
[Anonymous], 2020, GILEAD SCI INITIATES
[6]   A new insight into mushroom tyrosinase inhibitors: docking, pharmacophore-based virtual screening, and molecular modeling studies [J].
Bagherzadeh, Kowsar ;
Talari, Faezeh Shirgahi ;
Sharifi, Amirhossein ;
Ganjali, Mohammad Reza ;
Saboury, Ali Akbar ;
Amanlou, Massoud .
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2015, 33 (03) :487-501
[7]   Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model [J].
Beck, Bo Ram ;
Shin, Bonggun ;
Choi, Yoonjung ;
Park, Sungsoo ;
Kang, Keunsoo .
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2020, 18 :784-790
[8]  
Chang Y.-C, 2020, PREPRINT, DOI [DOI 10.20944/PREPRINTS202002.0242.V2, DOI 10.20944/PREPRINTS202002.0242.V1]
[9]  
Contini A., 2020, VIRTUAL SCREENING FD, DOI [10.26434/chemrxiv., DOI 10.26434/CHEMRXIV.]
[10]  
de Oliveira L., 2020, COMPARATIVE COMPUTAT, DOI [10.26434/chemrxiv.12044538.v3., DOI 10.26434/CHEMRXIV.12044538.V3.]