Computational analysis of potential phytochemicals interaction with COVID-19 main protease

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dc.contributor.advisorAhalawat, Navjeet
dc.contributor.authorNisha
dc.date.accessioned2023-06-09T03:02:27Z
dc.date.available2023-06-09T03:02:27Z
dc.date.issued2022-07
dc.description.abstractThe global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2020 has affected almost every country with around 543 million confirmed cases worldwide. Currently to fight against the infection, multiple vaccines and several types of drugs alone or with combination have been used in many countries for emergency use. Some severe side effects of repositioned drugs are a cause for concern and their efficacy is still under evaluation. Antiviral therapeutics based on phytochemicals that have been reported to have more tolerable side effects can serve as a reliable alternative to synthetic antiviral drugs for the inhibition of viral replication and penetration. The main protease of SARS-CoV-2 is one of the highly potent and vital targets to design and develop antiviral drugs for the inhibition of COVID-19 contamination. Computational approach helps to identified many drugs that can target viral proteins Mpro. We generated a phytochemical library containing 2453 phytochemicals which have been reported as having antiviral activity through deep literature study.The virtual molecular docking results reveals that five bioactive compounds; theaflavate C, theaflavin-3,3-O-digallate, amentoflavone, hinokiflavone, theaflavin3-gallate have a higher binding affinity toward COVID-19 main protease (MPro) with the binding energy of -10.1, -9.9, -9.7, -9.7 and -9.7 Kcal/mol. But these phytochemicals didn’t follow Lipinski rule of five, so we selected more four phytochemicals having ADMET properties. The main protease docked complexes with phytochemicals; theaflavate C, theaflavin-3,3-O-digallate, amentoflavone, hinokiflavone, theaflavin3-gallate, 10-methoxycamptothecin, caribine, sesamin and licoisoflavanone were used for MD simulation of 20 ns time period using Gromacs package. The MD results were analysed with respect to RMSD, RMSF, Rg, SASA, hydrogen bond and principal component analysis. The resulting trajectories of converged period of MD were further exploited in MM-P/G/BSA calculations to derive accurate estimates of binding free energies. The study provides a basic foundation and suggests that the seven phytochemicals, viz. theaflavate C, theaflavin-3,3-O-digallate, amentoflavone, hinokiflavone, theaflavin3-gallate, caribine, and licoisoflavanone serve as potential inhibitors in regulating the Mpro protein’s function and controlling viral replication and may assist the development of effective anti-COVID-19 drugs.en_US
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810197544
dc.keywordsADMET, Phytochemicals, SARS-CoV-2, Main protease, Molecular docking, MD simulation, MM-P/G/BSA calculationsen_US
dc.language.isoEnglishen_US
dc.pages108+iv+XIIen_US
dc.publisherCCSHAU Hisaren_US
dc.subBioinformaticsen_US
dc.themeComputational analysis of potential phytochemicals interaction with COVID-19 main proteaseen_US
dc.these.typeM.Scen_US
dc.titleComputational analysis of potential phytochemicals interaction with COVID-19 main proteaseen_US
dc.typeThesisen_US
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