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

• Published in: PloS one 2023-11, Vol.18 (11), p.e0287944-e0287944
• Main Authors: Sumon, Md Afsar Ahmed, Asseri, Amer H, Molla, Mohammad Habibur Rahman, Aljahdali, Mohammed Othman, Hasan, Md. Rifat, Rahman, M. Aminur, Hasan, Md. Tawheed, Sumon, Tofael Ahmed, Gabr, Mohamed Hosny, Islam, Md. Shafiqul, Fakhurji, Burhan, Moulay, Mohammed, Larson, Earl, Brown, Christopher L
• Format: Article
• Language: English
• Subjects: Analysis; Antiviral agents; Antiviral drugs; Aquaculture; Aquaculture industry; Biocompatibility; Commercial farms; Computer applications; CRM1 protein; Disease; Drug development; Drug discovery; Drugs; Evaluation; Fish; Fish farms; Growth; Herbal medicine; Identification and classification; In vivo methods and tests; Infections; International economic relations; Lakes; Ligands; Mariculture; Medical research; Medicine, Experimental; Molecular docking; Molecular dynamics; Mortality; Physiological aspects; Phytochemicals; Proteins; Seafood industry; Tilapia; Tilapinevirus; Toxicity; Tropical environment; Tropical environments; Vaccines; Viruses
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0287944

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.