Author: Ribaudo, Giovanni; Ongaro, Alberto; Oselladore, Erika; Zagotto, Giuseppe; Memo, Maurizio; Gianoncelli, Alessandra
Title: A computational approach to drug repurposing against SARS-CoV-2 RNA dependent RNA polymerase (RdRp) Cord-id: 2457tn96 Document date: 2020_9_18
ID: 2457tn96
Snippet: The spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) caused a worldwide outbreak of coronavirus disease 19 (COVID-19), which rapidly evolved as a global concern. The efforts of the scientific community are pointed towards the identification of promptly available therapeutic options. RNA-dependent RNA polymerase (RdRp) is a promising target for developing small molecules to contrast SARS-CoV-2 replication. Modern computational tools can boost identification and repurposing o
Document: The spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) caused a worldwide outbreak of coronavirus disease 19 (COVID-19), which rapidly evolved as a global concern. The efforts of the scientific community are pointed towards the identification of promptly available therapeutic options. RNA-dependent RNA polymerase (RdRp) is a promising target for developing small molecules to contrast SARS-CoV-2 replication. Modern computational tools can boost identification and repurposing of known drugs targeting RdRp. We here report the results regarding the screening of a database containing more than 8800 molecules, including approved, experimental, nutraceutical, illicit, withdrawn and investigational compounds. The molecules were docked against the cryo-electron microscopy structure of SARS-CoV-2 RdRp, optimized by means of molecular dynamics (MD) simulations. The adopted three-stage ensemble docking study underline that compounds formerly developed as kinase inhibitors may interact with RdRp. Communicated by Ramaswamy H. Sarma
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