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Artikel ; Online: Identification of SARS‐CoV‐2 Papain‐like Protease (PLpro) Inhibitors Using Combined Computational Approach**

Dr. Milan Sencanski / Dr. Vladimir Perovic / Dr. Jelena Milicevic / Dr. Tamara Todorovic / Dr. Radivoje Prodanovic / Dr. Veljko Veljkovic / Dr. Slobodan Paessler / Dr. Sanja Glisic

ChemistryOpen, Vol 11, Iss 2, Pp n/a-n/a (2022)

2022  

Abstract: Abstract In the current pandemic, finding an effective drug to prevent or treat the infection is the highest priority. A rapid and safe approach to counteract COVID‐19 is in silico drug repurposing. The SARS‐CoV‐2 PLpro promotes viral replication and ... ...

Abstract Abstract In the current pandemic, finding an effective drug to prevent or treat the infection is the highest priority. A rapid and safe approach to counteract COVID‐19 is in silico drug repurposing. The SARS‐CoV‐2 PLpro promotes viral replication and modulates the host immune system, resulting in inhibition of the host antiviral innate immune response, and therefore is an attractive drug target. In this study, we used a combined in silico virtual screening for candidates for SARS‐CoV‐2 PLpro protease inhibitors. We used the Informational spectrum method applied for Small Molecules for searching the Drugbank database followed by molecular docking. After in silico screening of drug space, we identified 44 drugs as potential SARS‐CoV‐2 PLpro inhibitors that we propose for further experimental testing.
Schlagwörter drug repurposing ; ISM ; molecular docking ; Papain-like protease ; SARS-CoV-2 ; Chemistry ; QD1-999
Sprache Englisch
Erscheinungsdatum 2022-02-01T00:00:00Z
Verlag Wiley-VCH
Dokumenttyp Artikel ; Online
Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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