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Biomed Res Int ; 2020: 5324560, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33029513

RESUMO

The ongoing global pandemic caused by the human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected millions of people and claimed hundreds of thousands of lives. The absence of approved therapeutics to combat this disease threatens the health of all persons on earth and could cause catastrophic damage to society. New drugs are therefore urgently required to bring relief to people everywhere. In addition to repurposing existing drugs, natural products provide an interesting alternative due to their widespread use in all cultures of the world. In this study, alkaloids from Cryptolepis sanguinolenta have been investigated for their ability to inhibit two of the main proteins in SARS-CoV-2, the main protease and the RNA-dependent RNA polymerase, using in silico methods. Molecular docking was used to assess binding potential of the alkaloids to the viral proteins whereas molecular dynamics was used to evaluate stability of the binding event. The results of the study indicate that all 13 alkaloids bind strongly to the main protease and RNA-dependent RNA polymerase with binding energies ranging from -6.7 to -10.6 kcal/mol. In particular, cryptomisrine, cryptospirolepine, cryptoquindoline, and biscryptolepine exhibited very strong inhibitory potential towards both proteins. Results from the molecular dynamics study revealed that a stable protein-ligand complex is formed upon binding. Alkaloids from Cryptolepis sanguinolenta therefore represent a promising class of compounds that could serve as lead compounds in the search for a cure for the corona virus disease.


Assuntos
Alcaloides/farmacologia , Betacoronavirus/efeitos dos fármacos , Infecções por Coronavirus/tratamento farmacológico , Cryptolepis/química , Pneumonia Viral/tratamento farmacológico , Proteínas Virais/antagonistas & inibidores , Alcaloides/química , Antivirais/química , Antivirais/farmacologia , Betacoronavirus/enzimologia , COVID-19 , Simulação por Computador , Proteases 3C de Coronavírus , Infecções por Coronavirus/virologia , RNA-Polimerase RNA-Dependente de Coronavírus , Cisteína Endopeptidases , Avaliação Pré-Clínica de Medicamentos , Humanos , Alcaloides Indólicos/química , Alcaloides Indólicos/farmacologia , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Pandemias , Pneumonia Viral/virologia , Relação Quantitativa Estrutura-Atividade , Quinolinas/química , Quinolinas/farmacologia , RNA Polimerase Dependente de RNA/antagonistas & inibidores , SARS-CoV-2 , Proteínas não Estruturais Virais/antagonistas & inibidores
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