Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 134, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2021.104492
Keywords
Dengue virus; DENV-2; NS3 protease; Phytochemicals; ADMET; Molecular docking; Molecular dynamics simulation; QSAR; pIC50
Categories
Funding
- World Academy of Science (TWAS) [17-479 RG/CHE/AS_I]
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The study focused on finding potential inhibitors against the NS3 protease of the dengue virus through systematic screening. Among 40 antiviral phytochemicals, Cyanidin 3-Glucoside, Dithymoquinone, and Glabridin were predicted to be potent inhibitors based on their binding affinity. The ligand-protein complexes were further analyzed through molecular dynamics simulation and binding free energy calculation to investigate their binding stability, indicating potential effectiveness of these inhibitors.
Dengue, a mosquito-borne disease, has appeared as a major infectious disease globally. The virus requires its proteins to replicate and reproduce in the host cell. The NS3 protease converts the polyprotein to functional proteins with the help of the NS2B cofactor. Thus, NS3 protease is a promising target to develop antiviral inhibitors against the dengue virus. A systematic screening including ADMET properties, molecular docking, molecular dynamics (MD) simulation, binding free energy calculation, and QSAR studies is carried out to predict potent inhibitors against the NS3 protease. From the screening of 40 antiviral phytochemicals, ADMET properties analysis was used to screen out ligands that violate ADME rules and have probable toxicity. Cyanidin 3-Glucoside, Dithymoquinone, and Glabridin were predicted to be potent inhibitors against the NS3 protease according to their binding affinity. These ligands showed several noncovalent interactions, including hydrogen bond, hydrophobic interaction, electrostatic interaction, pi-sulfur interactions. The ligand-protein complexes were further scrutinized using 250 ns molecular dynamics simulation. The MM-PBSA binding free energy calculation was conducted to investigate their binding stability in dynamic conditions. The calculated pIC50(mM) value was predicted using the QSAR model with 89.91% goodness of fit. The predicted biologocal activity value for the ligands indicates they might have good potency.
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