Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1102
Title: Prediction of Small Molecule Inhibitors Targeting the Severe Acute Respiratory Syndrome Coronavirus-2 RNA-dependent RNA Polymerase
Authors: Biswal, Bichitra K
Jeyakanthan, Jeyaraman
Kar, Deepsikha
Tiwari, Satish
Ahmad, Mohammed
Dwivedy, Abhisek
Mariadasse, Richard
Issue Date: Jul-2020
Publisher: American Chemical Society
Abstract: The current COVID-19 outbreak warrants the design and development of novel anti-COVID therapeutics. Using a combination of bioinformatics and computational tools, we modelled the 3D structure of the RdRp (RNA-dependent RNA polymerase) of SARS-CoV2 (severe acute respiratory syndrome coronavirus-2) and predicted its probable GTP binding pocket in the active site. GTP is crucial for the formation of the initiation complex during RNA replication. This site was computationally targeted using a number of small molecule inhibitors of the hepatitis C RNA polymerase reported previously. Further optimizations suggested a lead molecule that may prove fruitful in the development of potent inhibitors against the RdRp of SARS-CoV2
URI: http://hdl.handle.net/123456789/1102
Appears in Collections:Protein Crystallography, Publications

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