In SilicoScreening of Potential Spike Glycoprotein Inhibitors of SARS-CoV-2 with Drug Repurposing Strategy

被引:30
|
作者
Wei Tian-zi [1 ,2 ,3 ]
Wang Hao [4 ,5 ]
Wu Xue-qing [4 ,5 ]
Lu Yi [2 ]
Guan Sheng-hui [1 ]
Dong Feng-quan [5 ,6 ]
Dong Chen-le [7 ]
Zhu Gu-li [4 ,5 ]
Bao Yu-zhou [5 ,6 ]
Zhang Jian [2 ]
Wang Guan-yu [1 ,8 ,9 ]
Li Hai-ying [5 ,6 ]
机构
[1] Southern Univ Sci & Technol, Dept Biol, Shenzhen 518055, Guangdong, Peoples R China
[2] Southern Univ Sci & Technol, Sch Med, Shenzhen 518055, Guangdong, Peoples R China
[3] Univ Hong Kong, Li Ka Shing Fac Med, Sch Biomed Sci, Hong Kong, Peoples R China
[4] Shenzhen Univ Gen Hosp, Dept Obstet & Gynecol, Shenzhen 518055, Guangdong, Peoples R China
[5] Shenzhen Univ, Clin Med Acad, Shenzhen 518055, Guangdong, Peoples R China
[6] Shenzhen Univ Gen Hosp, Dept Cardiol, Shenzhen 518055, Guangdong, Peoples R China
[7] Wenzhou Med Univ, Dept Obstet & Gynecol, Affiliated Hosp 1, Wenzhou 325000, Zhejiang, Peoples R China
[8] Guangdong Prov Key Lab Computat Sci & Mat Design, Shenzhen 518055, Guangdong, Peoples R China
[9] Guangdong Prov Key Lab Cell Microenvironm & Dis R, Shenzhen 518055, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
COVID-19; SARS-CoV-2; drug repurposing; virtual screening; Chinese medicine; WESTERN MEDICINE; INTEGRATIVE CHINESE; TRADITIONAL CHINESE;
D O I
10.1007/s11655-020-3427-6
中图分类号
R [医药、卫生];
学科分类号
10 ;
摘要
Objective To select potential molecules that can target viral spike proteins, which may potentially interrupt the interaction between the human angiotension-converting enzyme 2 (ACE2) receptor and viral spike protein by virtual screening. Methods The three-dimensional (3D)-coordinate file of the receptor-binding domain (RBD)-ACE2 complex for searching a suitable docking pocket was firstly downloaded and prepared. Secondly, approximately 15,000 molecular candidates were prepared, including US Food and Drug Administration (FDA)-approved drugs from DrugBank and natural compounds from Traditional Chinese Medicine Systems Pharmacology (TCMSP), for the docking process. Then, virtual screening was performed and the binding energy in Autodock Vina was calculated. Finally, the top 20 molecules with high binding energy and their Chinese medicine (CM) herb sources were listed in this paper. Results It was found that digitoxin, a cardiac glycoside in DrugBank and bisindigotin in TCMSP had the highest docking scores. Interestingly, two of the CM herbs containing the natural compounds that had relatively high binding scores,Forsythiae fructusandIsatidis radix, are components of Lianhua Qingwen (& x83b2;& x82b1;& x6e05;& x761f;), a CM formula reportedly exerting activity against severe acute respiratory syndrome (SARS)-Cov-2. Moreover, raltegravir, an HIV integrase inhibitor, was found to have a relatively high binding score. Conclusions A class of compounds, which are from FDA-approved drugs and CM natural compounds, that had high binding energy with RBD of the viral spike protein. Our work provides potential candidates for other researchers to identify inhibitors to prevent SARS-CoV-2 infection, and highlights the importance of CM and integrative application of CM and Western medicine on treating COVID-19.
引用
收藏
页码:663 / 669
页数:7
相关论文
共 50 条
  • [21] Controlling the SARS-CoV-2 spike glycoprotein conformation
    Henderson, Rory
    Edwards, Robert J.
    Mansouri, Katayoun
    Janowska, Katarzyna
    Stalls, Victoria
    Gobeil, Sophie M. C.
    Kopp, Megan
    Li, Dapeng
    Parks, Rob
    Hsu, Allen L.
    Borgnia, Mario J.
    Haynes, Barton F.
    Acharya, Priyamvada
    NATURE STRUCTURAL & MOLECULAR BIOLOGY, 2020, 27 (10) : 925 - +
  • [22] Controlling the SARS-CoV-2 spike glycoprotein conformation
    Rory Henderson
    Robert J. Edwards
    Katayoun Mansouri
    Katarzyna Janowska
    Victoria Stalls
    Sophie M. C. Gobeil
    Megan Kopp
    Dapeng Li
    Rob Parks
    Allen L. Hsu
    Mario J. Borgnia
    Barton F. Haynes
    Priyamvada Acharya
    Nature Structural & Molecular Biology, 2020, 27 : 925 - 933
  • [23] Computational drug repurposing for the identification of SARS-CoV-2 main protease inhibitors
    Fiorucci, Diego
    Milletti, Eva
    Orofino, Francesco
    Brizzi, Antonella
    Mugnaini, Claudia
    Corelli, Federico
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2021, 39 (16): : 6242 - 6248
  • [24] Identification of Potential SARS-CoV-2 Main Protease Inhibitors Using Drug Repurposing and Molecular Modeling
    Andrianov, Alexander M.
    Furs, Konstantin V.
    Gonchar, Anna V.
    Xie, Xiong
    Karpenko, Anna D.
    Laikov, Yan V.
    Varabyeu, Danila A.
    Liu, Hong
    Tuzikov, Alexander V.
    BIOINFORMATICS RESEARCH AND APPLICATIONS, PT I, ISBRA 2024, 2024, 14954 : 439 - 448
  • [25] An Integrative in Silico Drug Repurposing Approach for Identification of Potential Inhibitors of SARS-CoV-2 Main Protease
    Djokovic, Nemanja
    Ruzic, Dusan
    Djikic, Teodora
    Cvijic, Sandra
    Ignjatovic, Jelisaveta
    Ibric, Svetlana
    Baralic, Katarina
    Buha Djordjevic, Aleksandra
    Curcic, Marijana
    Djukic-Cosic, Danijela
    Nikolic, Katarina
    MOLECULAR INFORMATICS, 2021, 40 (05)
  • [26] Computational repurposing of asthma drugs as potential inhibitors of SARS-CoV-2 Mpro
    Hussain, A.
    NEW MICROBES AND NEW INFECTIONS, 2022, 47
  • [27] Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein
    Jomhori M.
    Mosaddeghi H.
    Research on Biomedical Engineering, 2022, 38 (01) : 71 - 86
  • [28] Rapamycin: Drug Repurposing in SARS-CoV-2 Infection
    Patocka, Jiri
    Kuca, Kamil
    Oleksak, Patrik
    Nepovimova, Eugenie
    Valis, Martin
    Novotny, Michal
    Klimova, Blanka
    PHARMACEUTICALS, 2021, 14 (03)
  • [29] Computational investigation of peptidomimetics as potential inhibitors of SARS-CoV-2 spike protein
    Ibrahim, Mayar Tarek
    Tao, Peng
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023, 41 (15): : 7144 - 7157
  • [30] Identification of Potential Inhibitors Against SARS-CoV-2 Using Compu-tational Drug Repurposing Study
    Zulfiqar, Hasan
    Dao, Fu-Ying
    Lv, Hao
    Yang, Hui
    Zhou, Peng
    Chen, Wei
    Lin, Hao
    CURRENT BIOINFORMATICS, 2021, 16 (10) : 1320 - 1327