Investigation of natural compounds as methyltransferase inhibitors against dengue virus: an in silico approach

Abstract

The global challenge posed by Dengue virus (DENV) infection persists, exacerbated by the absence of specific antiviral therapies. The viral methyltransferase (MTase) enzyme, crucial for viral RNA methylation and immune system evasion, has emerged as a promising drug target for combating Dengue fever. In this study, a comprehensive exploration of natural compounds derived from the COCONUT database was conducted, selecting 224 compounds based on their structural similarity to the native substrate of the MTase enzyme, S-adenosyl-L-methionine (SAM). Employing virtual screening techniques, four natural compounds (CNP0307160, CNP0082902, CNP0449158, and CNP0296775) with acceptable docking scores were selected for further re-docking after geometry optimization by the DFT method. Re-docking analyses unveiled significant interactions, including hydrogen bonds and hydrophobic interactions, between these selected ligands and the MTase protein. To gain deeper insights into the dynamic stability of these complexes, we conducted molecular dynamics simulations which showed lower RMSD values for CNP0307160, CNP0082902, and CNP0296775 when compared to the reference molecule. Furthermore, we assessed the structural and dynamic stability of the protein-ligand complexes through free binding energy calculations and Principal Component Analysis (PCA) of the simulation trajectories. In these analyses, the CNP0296775 compound exhibited promising results compared to the other three compounds. The cumulative findings of these investigations underscore the potential of CNP0296775 as a strong inhibitor of DENV MTase, thus offering a promising starting point for its further experimental validation and optimization.

Communicated by Ramaswamy H. Sarma

Keywords:

• Dengue virus
• methyltransferase
• molecular dynamics simulation
• molecular docking
• COCONUT database

Acknowledgment

The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University for funding this work through research group No [RG-NBU-2022-1598].

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University for funding this work through research group No [RG-NBU-2022-1598].