Article · Volume 59, Issue 3s (Supplement) · pp. s930-s944
Exploring Phytocompounds’ Interaction with Multi-Serotype Dengue Virus NS5-MTase: Insights into Binding Affinity and Activity
Afaf Salim Alwabli1, Mohammed Balubaid2, Mohammed Tarique3
- 1Department of Biological Sciences, College of Science & Arts, Rabigh Campus, King Abdulaziz University, Jeddah, SAUDI ARABIA.
- 2Department of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, SAUDI ARABIA.
- 3Center for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, Jamia Nagar, New Delhi, INDIA.
Abstract
Background: Dengue Virus (DENV) infection poses a formidable global health threat, spanning from mild breakbone fever to severe conditions such as dengue hemorrhagic fever and dengue shock syndrome. The NS5-MTase enzyme assumes a pivotal role in DENV replication by catalyzing methylation at guanine N7 and ribose 2'-OH during viral cap structure formation.Materials and Methods: Targeting the MTase presents a promising strategy for combating flavivirus infections. In recent years, plant-derived metabolites have garnered attention for their antiviral properties, particularly flavones and flavonoids, which have shown efficacy against the DENV MTase protein.Results: This study seeks to identify phytocompound capable of interacting with multiple DENV serotypes. Employing a combination of docking, molecular dynamics, and QSAR techniques, we identified potent inhibitors of the NS5-MTase protein. Our investigation identified a flavonoid exhibiting high binding affinity towards the MTase protein across major DENV serotypes.Conclusion: Furthermore, molecular dynamics simulations and QSAR analysis were employed to assess the stability of molecular interactions and predicted activity, respectively; shedding light on the potential of the identified phytocompound with calculated IC50 of 76.009 nM as a therapeutic agent against MTase of DENV infection
Keywords: Baicalin; Dengue; Methyltransferase; Molecular Dynamics simulations; QSAR; Virtual screening
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