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Summary

Drugabble genome of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), to find the therapeutic potential by using various in silico approaches. After successful physiochemical, stoichiometric and geometric characterization and screening of druggable candidates, on the basis of set parameters, potential drug target candidates present in the viral strain were selected for further analysis for final selection a drug candidate against the virus. To this aim molecular modeling was carried out to gain insights into active site and modeling was performed via web servers including SWISS-MODEL, GalaxyRefine, ModWeb, Phyre2. Models were optimized using GalaxyRefine and best modeled structures were selected and used for molecular docking studies.

This study is still ongoing

Licensing


I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons Attribution 3.0 License CC-by

Proteopedia Page Contributors and Editors (what is this?)

Folagbade Muyiwa Abitogun

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(current)09:31, 23 August 2020Folagbade Muyiwa Abitogun (Talk | contribs)5200×2772458 KBDrugabble genome of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), to find the therapeutic potential by using various in silico approaches. After successful physioch

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