Identification of natural antiviral drug candidates against Tilapia Lake Virus: Computational drug design approaches

PLoS One. 2023 Nov 8;18(11):e0287944. doi: 10.1371/journal.pone.0287944. eCollection 2023.

Abstract

Tilapia Lake Virus (TiLV) is a disease that affects tilapia fish, causing a high rate of sudden death at any stage in their life cycle. Unfortunately, there are currently no effective antiviral drugs or vaccines to prevent or control the progression of this disease. Researchers have discovered that the CRM1 protein plays a critical function in the development and spreading of animal viruses. By inhibiting CRM1, the virus's spread in commercial fish farms can be suppressed. With this in mind, this study intended to identify potential antiviral drugs from two different tropical mangrove plants from tropical regions: Heritiera fomes and Ceriops candolleana. To identify promising compounds that target the CRM1 protein, a computer-aided drug discovery approach is employed containing molecular docking, ADME (absorption, distribution, metabolism and excretion) analysis, toxicity assessment as well as molecular dynamics (MD) simulation. To estimate binding affinities of all phytochemicals, molecular docking is used and the top three candidate compounds with the highest docking scores were selected, which are CID107876 (-8.3 Kcal/mol), CID12795736 (-8.2 Kcal/mol), and CID12303662 (-7.9 Kcal/mol). We also evaluated the ADME and toxicity properties of these compounds. Finally, MD simulation was conducted to analyze the stability of the protein-ligand complex structures and confirm the suitability of these compounds. The computational study demonstrated that the phytochemicals found in H. fomes and C. candolleana could potentially serve as important inhibitors of TiLV, offering practical utility. However, further in vivo investigations are necessary to investigate and potentially confirm the effectiveness of these compounds as antiviral drugs against the virus TiLV.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Anti-HIV Agents*
  • Antiviral Agents / pharmacology
  • Drug Design
  • Fish Diseases* / drug therapy
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation
  • Tilapia*
  • Viruses*

Substances

  • Antiviral Agents
  • Anti-HIV Agents

Grants and funding

This research was sponsored by Institutional Fund Projects under grant no. IFPIP: 874-130-1443, to author Amer H. Asseri. The authors gratefully acknowledge technical and financial support provided by the Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia. These funders reviewed and approved the project concept but the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.