An in-silico investigation of potential natural polyphenols for the targeting of COVID main protease inhibitor.
Ontology highlight
ABSTRACT: The deadliest recent pandemic outbreak of COVID-19 disease has severely damaged the socio-economic health of the people globally. Due to unavailability of any effective vaccine or treatment the human beings are still struggling to overcome the pandemic condition. In an attempt to discover anti-COVID molecule, we used in-silico approach and reported 160 natural polyphenols to identify the most promising druggable HITs that can further used for drug discovery process. The co-crystallized structure COVID protease enzyme (PDB id 6LU7) was used. HTVS, MD simulation, binding energy calculations and in-silico ADME calculation were done and analyzed. Depending upon the scores three compounds galangin, nalsudaldain and rhamnezine were identified and the docking score were found to be -7.704, -6.51,
SUBMITTER: Aljarba NH
PROVIDER: S-EPMC9250415 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA