Anti-Covid 19 Drug Candidates from Sri Lankan Natural Products: In-Silico Approach to Identify Inhibitors of SARS COV 2

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dc.contributor.author Abdulla, S.M.
dc.contributor.author Premakumara, G.A.S.
dc.contributor.author Ranasinghe, P.
dc.contributor.author Udawatte, C.
dc.date.accessioned 2022-01-21T07:31:02Z
dc.date.available 2022-01-21T07:31:02Z
dc.date.issued 2021
dc.identifier.citation Abdulla, S.M., Premakumara, G.A.S., Ranasinghe,P.,& Udawatte, C. (2021). Anti-Covid 19 Drug Candidates from Sri Lankan Natural Products: In-Silico Approach to Identify Inhibitors of SARS COV 2. Proceedings: Annual Research Symposium, Faculty of Nursing, University of Colombo-2021, p.19. en_US
dc.identifier.uri http://archive.cmb.ac.lk:8080/xmlui/handle/70130/6393
dc.description.abstract Introduction: The development of potent antiviral drugs against COVID-19 is of utmost importance. In this context, computational pharmacology may play a lead role. This study aimed on in-silico screening of Sri Lankan natural products by molecular docking (MD) and molecular dynamics studies against SARS-CoV-2 main protease Mpro responsible for multiplication. Objective: To identify plant-derived compounds of Sri Lankan flora as antiviral agents with protease inhibitory potential against SARS-CoV-2 pandemic. Methods: Four hundred & eighty molecules isolated from Sri Lankan natural resources were virtually screened for anti-viral activities against SARS-CoV-2 main protease Mpro. Binding energies were calculated using Auto Dock Vina and the active site of SARS-CoV-2 was defined using data from literature studies. The results were compared with that of a synthetic construct of N3, a peptidomimetic inhibitor of coronavirus main protease. The complexes with favorable binding interactions were filtered and subjected to molecular dynamic studies using AMBER with GPU acceleration where the dynamic behavior of protein-ligand complex at different time scales was determined. Visual Molecular Dynamic (VMD, version 1.9.4) was used to study the atom trajectories and the Root Mean Square Deviation (RMSD) of each of the protein ligand complex. The RMSD of the SARS-CoV-2 and drug complex was analyzed through a 100ns trajectory and results were compared with that of N3. Further, the ADME parameters, pharmacokinetic properties and the druglike nature of identified compounds were studied. Results: One of the natural products, SLNP_012, showed favorable interactions with the binding pocket of Mpro as compared to that of N3. SLNP_012 showed up to 5 possible H-bond with the active site residues. It also showed favorable physiochemical properties for oral bio availability with a very high gastrointestinal absorption and blood brain barrier permeation. Conclusions: Sri Lankan plant derive natural product SLNP_012 could be a potential anti-viral agent for SARS-CoV-2 infection
dc.description.abstract Introduction: The development of potent antiviral drugs against COVID-19 is of utmost importance. In this context, computational pharmacology may play a lead role. This study aimed on in-silico screening of Sri Lankan natural products by molecular docking (MD) and molecular dynamics studies against SARS-CoV-2 main protease Mpro responsible for multiplication. Objective: To identify plant-derived compounds of Sri Lankan flora as antiviral agents with protease inhibitory potential against SARS-CoV-2 pandemic. Methods: Four hundred & eighty molecules isolated from Sri Lankan natural resources were virtually screened for anti-viral activities against SARS-CoV-2 main protease Mpro. Binding energies were calculated using Auto Dock Vina and the active site of SARS-CoV-2 was defined using data from literature studies. The results were compared with that of a synthetic construct of N3, a peptidomimetic inhibitor of coronavirus main protease. The complexes with favorable binding interactions were filtered and subjected to molecular dynamic studies using AMBER with GPU acceleration where the dynamic behavior of protein-ligand complex at different time scales was determined. Visual Molecular Dynamic (VMD, version 1.9.4) was used to study the atom trajectories and the Root Mean Square Deviation (RMSD) of each of the protein ligand complex. The RMSD of the SARS-CoV-2 and drug complex was analyzed through a 100ns trajectory and results were compared with that of N3. Further, the ADME parameters, pharmacokinetic properties and the druglike nature of identified compounds were studied. Results: One of the natural products, SLNP_012, showed favorable interactions with the binding pocket of Mpro as compared to that of N3. SLNP_012 showed up to 5 possible H-bond with the active site residues. It also showed favorable physiochemical properties for oral bio availability with a very high gastrointestinal absorption and blood brain barrier permeation. Conclusions: Sri Lankan plant derive natural product SLNP_012 could be a potential anti-viral agent for SARS-CoV-2 infection
dc.subject SARS-CoV-2 en_US
dc.subject Molecular docking en_US
dc.subject Molecular dynamics en_US
dc.subject Sri Lankan Natural Products en_US
dc.title Anti-Covid 19 Drug Candidates from Sri Lankan Natural Products: In-Silico Approach to Identify Inhibitors of SARS COV 2 en_US


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