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Abstract
The current work was focused on predicting the potential of several anticancer drugs as potential inhibitors of COVID-19 disease. The work was accoplished using molecular docking performed using SwissDock tool. Information about COVID-19 proteins and anticancer drugs from databases like PDB, PubChem and Drugbank has been incorporated appropriately in the manuscript. Data analysis has revealed some highly promising anticancer drugs which can further be critically analyzed through both computational and biological validation methods.
This work was intended to support the urgent need of finding drugs/remedies against COVID-19. The results can be a foundation for other researchers around the world to further validate/test these anticancer agents against the pathogen.
