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http://hdl.handle.net/123456789/1102
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DC Field | Value | Language |
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dc.contributor.author | Biswal, Bichitra K | - |
dc.contributor.author | Jeyakanthan, Jeyaraman | - |
dc.contributor.author | Kar, Deepsikha | - |
dc.contributor.author | Tiwari, Satish | - |
dc.contributor.author | Ahmad, Mohammed | - |
dc.contributor.author | Dwivedy, Abhisek | - |
dc.contributor.author | Mariadasse, Richard | - |
dc.date.accessioned | 2020-09-03T06:55:45Z | - |
dc.date.available | 2020-09-03T06:55:45Z | - |
dc.date.issued | 2020-07 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/1102 | - |
dc.description.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 | en_US |
dc.language.iso | en | en_US |
dc.publisher | American Chemical Society | en_US |
dc.title | Prediction of Small Molecule Inhibitors Targeting the Severe Acute Respiratory Syndrome Coronavirus-2 RNA-dependent RNA Polymerase | en_US |
dc.journal | ACS Omega | en_US |
dc.volumeno | 5 | en_US |
dc.issueno | 29 | en_US |
dc.pages | 18356-18366 | en_US |
Appears in Collections: | Protein Crystallography, Publications |
Files in This Item:
File | Description | Size | Format | |
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ao0c02096.pdf | 6.55 MB | Adobe PDF | View/Open Request a copy |
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