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Chin J Integr Med ; 26(9): 663-669, 2020 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-32740825

RESUMO

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 fructus and Isatidis radix, are components of Lianhua Qingwen (), 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.


Assuntos
Infecções por Coronavirus/tratamento farmacológico , Reposicionamento de Medicamentos/métodos , Medicamentos de Ervas Chinesas/farmacologia , Glicoproteínas/efeitos dos fármacos , Imageamento Tridimensional , Simulação de Acoplamento Molecular/métodos , Pneumonia Viral/tratamento farmacológico , COVID-19 , China , Simulação por Computador , Infecções por Coronavirus/diagnóstico , Glicoproteínas/metabolismo , Humanos , Programas de Rastreamento/métodos , Pandemias , Peptidil Dipeptidase A/efeitos dos fármacos , Pneumonia Viral/diagnóstico , Ligação Proteica , Estados Unidos , United States Food and Drug Administration
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