In-silico screening, molecular dynamics simulation and ADME evaluation of Onosma bracteata Wall. for antiviral

Bhavinkumar Gayakvad1, Kshipra Chauhan2, Vaibhav Bhatt2

  • 1School of Pharmacy, Gujarat Technological University, Gandhinagar Campus, E-4, Electronics GIDC, Sector 26, Gandhinagar, Gujarat 382028 India.

In Silico Pharmacology
|April 28, 2025
PubMed

Insights

This study explored traditional Indian medicinal plants for Chandipura Virus (CHPV) treatments. Compounds from Onosma bracteata showed strong potential against CHPV, exceeding current antiviral drugs in computational models.

Area of Science:

  • Computational drug discovery
  • Phytochemistry
  • Virology

Background:

  • Chandipura Virus (CHPV) is a significant public health concern in India, particularly for children, causing Acute Encephalitis Syndrome (AES).
  • There is a critical need for effective antiviral treatments against CHPV.

Purpose of the Study:

  • To investigate the potential antiviral properties of the traditional medicinal plant *Onosma bracteata* Wall. against CHPV.
  • To identify specific phytochemicals from *O. bracteata* that interact with the CHPV N protein using in-silico methods.

Main Methods:

  • Employed in-silico techniques including molecular docking (AutoDock Vina) and molecular dynamics simulations (GROMACS).
  • Evaluated interactions between *O. bracteata* phytochemicals and the N protein of CHPV using the SWISS-MODEL repository.

Main Results:

  • Identified Pulmonarioside C, Eritrichin, and P-Coumarinic Acid Ester of Trigonotin A as key compounds.
  • These phytochemicals demonstrated significant binding affinities (-8.7, -7.5, and -7.4 kcal/mol, respectively) with the CHPV N protein, surpassing Remdesivir and Nevirapine in computational models.
  • Acknowledged limitations of computational methods, including accuracy in solvation effects and reliance on modeled proteins.

Conclusions:

  • The study highlights the promising potential of *Onosma bracteata* derived compounds as novel antiviral agents against CHPV.
  • Emphasizes the value of integrating traditional medicine knowledge with computational approaches for drug discovery.
  • Experimental validation through in vitro and in vivo studies is essential to confirm the efficacy of these identified compounds.