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J Recept Signal Transduct Res ; 40(6): 605-612, 2020 Dec.
Artículo en Inglés | MEDLINE | ID: covidwho-457256

RESUMEN

Recently, a pathogen has been identified as a novel coronavirus (SARS-CoV-2) and found to trigger novel pneumonia (COVID-19) in human beings and some other mammals. The uncontrolled release of cytokines is seen from the primary stages of symptoms to last acute respiratory distress syndrome (ARDS). Thus, it is necessary to find out safe and effective drugs against this deadly coronavirus as soon as possible. Here, we downloaded the three-dimensional model of NSP10/NSP16 methyltransferase (PDB-ID: 6w6l) and main protease (PDB-ID: 6lu7) of COVID-19. Using these molecular models, we performed virtual screening with our anti-viral, inti-infectious, and anti-protease compounds, which are attractive therapeutics to prevent infection of the COVID-19. We found that top screened compound binds with protein molecules with good dock score with the help of hydrophobic interactions and hydrogen bonding. We observed that protease complexed with Cyclocytidine hydrochloride (anti-viral and anti-cancer), Trifluridine (anti-viral), Adonitol, and Meropenem (anti-bacterial), and Penciclovir (anti-viral) bound with a good docking score ranging from -6.8 to -5.1 (Kcal/mol). Further, NSP10/NSP16 methyltransferase complexed with Telbivudine, Oxytetracycline dihydrate (anti-viral), Methylgallate (anti-malarial), 2-deoxyglucose and Daphnetin (anti-cancer) from the docking score of -7.0 to -5.7 (Kcal/mol). In conclusion, the selected compounds may be used as a novel therapeutic agent to combat this deadly pandemic disease, SARS-CoV-2 infection, but needs further experimental research.HighlightsNSP10/NSP16 methyltransferase and main protease complex of SARS CoV-2 bind with selected drugs.NSP10/NSP16 methyltransferase and protease interacted with drugs by hydrophobic interactions.Compounds show good DG binging free energy with protein complexes.Ligands were found to follow the Lipinski rule of five.


Asunto(s)
Antivirales/química , Infecciones por Coronavirus/tratamiento farmacológico , Neumonía Viral/tratamiento farmacológico , Proteínas no Estructurales Virales/química , Proteínas Reguladoras y Accesorias Virales/química , Aciclovir/análogos & derivados , Aciclovir/química , Aciclovir/uso terapéutico , Ancitabina/química , Ancitabina/uso terapéutico , Antivirales/uso terapéutico , Betacoronavirus/efectos de los fármacos , Betacoronavirus/patogenicidad , COVID-19 , Infecciones por Coronavirus/virología , Evaluación Preclínica de Medicamentos , Guanina , Humanos , Meropenem/química , Meropenem/uso terapéutico , Metiltransferasas , Modelos Moleculares , Simulación del Acoplamiento Molecular , Pandemias , Neumonía Viral/virología , Conformación Proteica/efectos de los fármacos , Ribitol/química , Ribitol/uso terapéutico , SARS-CoV-2 , Trifluridina/química , Trifluridina/uso terapéutico , Interfaz Usuario-Computador , Proteínas no Estructurales Virales/antagonistas & inhibidores , Proteínas no Estructurales Virales/ultraestructura , Proteínas Reguladoras y Accesorias Virales/antagonistas & inhibidores , Proteínas Reguladoras y Accesorias Virales/ultraestructura
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