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1.
Molecules ; 26(20)2021 Oct 14.
Artículo en Inglés | MEDLINE | ID: covidwho-1470936

RESUMEN

The SARS-CoV-2 virus is highly contagious to humans and has caused a pandemic of global proportions. Despite worldwide research efforts, efficient targeted therapies against the virus are still lacking. With the ready availability of the macromolecular structures of coronavirus and its known variants, the search for anti-SARS-CoV-2 therapeutics through in silico analysis has become a highly promising field of research. In this study, we investigate the inhibiting potentialities of triazole-based compounds against the SARS-CoV-2 main protease (Mpro). The SARS-CoV-2 main protease (Mpro) is known to play a prominent role in the processing of polyproteins that are translated from the viral RNA. Compounds were pre-screened from 171 candidates (collected from the DrugBank database). The results showed that four candidates (Bemcentinib, Bisoctrizole, PYIITM, and NIPFC) had high binding affinity values and had the potential to interrupt the main protease (Mpro) activities of the SARS-CoV-2 virus. The pharmacokinetic parameters of these candidates were assessed and through molecular dynamic (MD) simulation their stability, interaction, and conformation were analyzed. In summary, this study identified the most suitable compounds for targeting Mpro, and we recommend using these compounds as potential drug molecules against SARS-CoV-2 after follow up studies.


Asunto(s)
Antivirales/química , Proteasas 3C de Coronavirus/antagonistas & inhibidores , Inhibidores de Proteasas/química , SARS-CoV-2/enzimología , Triazoles/química , Antivirales/metabolismo , Antivirales/uso terapéutico , Benzocicloheptenos/química , Benzocicloheptenos/metabolismo , Sitios de Unión , COVID-19/virología , Proteasas 3C de Coronavirus/metabolismo , Bases de Datos de Compuestos Químicos , Semivida , Humanos , Ligandos , Simulación del Acoplamiento Molecular , Simulación de Dinámica Molecular , Inhibidores de Proteasas/metabolismo , Inhibidores de Proteasas/uso terapéutico , Unión Proteica , Relación Estructura-Actividad Cuantitativa , SARS-CoV-2/aislamiento & purificación , Triazoles/metabolismo , Triazoles/uso terapéutico , Tratamiento Farmacológico de COVID-19
2.
Comput Biol Med ; 135: 104591, 2021 08.
Artículo en Inglés | MEDLINE | ID: covidwho-1284015

RESUMEN

The continued sustained threat of the SARS-CoV-2 virus world-wide, urgently calls for far-reaching effective therapeutic strategies for treating this emerging infection. Accordingly, this study explores mode of action and therapeutic potential of existing antiviral drugs. Multiple sequence alignment and phylogenetic analyses indicate that the RNA-dependent RNA polymerase (RdRp) of SARS-CoV-2 was mutable and similar to bat coronavirus RaTG13. Successive interactions between RdRp (nsp12 alone or in complex with cofactors nsp7-8) and viral RNA demonstrated that the binding affinity values remained the same, but the sites of interaction of RdRp (highly conserved for homologous sequences from different organisms) were altered in the presence of selected antiviral drugs such as Remdesivir, and Sofosbuvir. The antiviral drug Sofosbuvir reduced the number of hydrogen bonds formed between RdRp and RNA. Remdesivir bound more tightly to viral RNA than viral RdRp alone or the nsp12-7-8 hexadecameric complex, resulting in a significant number of hydrogen bonds being formed in the uracil-rich region. The interaction between nsp12-7-8 complex and RNA was mediated by specific interaction sites of nsp7-8. Therefore, the conserved nature of RdRp interaction sites, and alterations due to drug intervention indicate the therapeutic potential of the selected drugs. In this article, we provide additional focus on the interacting amino acids of the nsp7-8 complex and highlight crucial regions that could be targeted for precluding a correct recognition of subunits involved in the hexadecameric assembly, to rationally design molecules endowed with a significant antiviral profile.


Asunto(s)
COVID-19 , ARN Polimerasa Dependiente del ARN , Antivirales/farmacología , Simulación por Computador , Humanos , Filogenia , SARS-CoV-2
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