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Identification of natural antiviral drug candidates against Tilapia Lake Virus: Computational drug design approaches
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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631680/ https://www.ncbi.nlm.nih.gov/pubmed/37939069 http://dx.doi.org/10.1371/journal.pone.0287944 |
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author | 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. |
author_facet | 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. |
author_sort | Sumon, Md Afsar Ahmed |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10631680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106316802023-11-08 Identification of natural antiviral drug candidates against Tilapia Lake Virus: Computational drug design approaches 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. PLoS One Research Article 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. Public Library of Science 2023-11-08 /pmc/articles/PMC10631680/ /pubmed/37939069 http://dx.doi.org/10.1371/journal.pone.0287944 Text en © 2023 Sumon et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article 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. Identification of natural antiviral drug candidates against Tilapia Lake Virus: Computational drug design approaches |
title | Identification of natural antiviral drug candidates against Tilapia Lake Virus: Computational drug design approaches |
title_full | Identification of natural antiviral drug candidates against Tilapia Lake Virus: Computational drug design approaches |
title_fullStr | Identification of natural antiviral drug candidates against Tilapia Lake Virus: Computational drug design approaches |
title_full_unstemmed | Identification of natural antiviral drug candidates against Tilapia Lake Virus: Computational drug design approaches |
title_short | Identification of natural antiviral drug candidates against Tilapia Lake Virus: Computational drug design approaches |
title_sort | identification of natural antiviral drug candidates against tilapia lake virus: computational drug design approaches |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631680/ https://www.ncbi.nlm.nih.gov/pubmed/37939069 http://dx.doi.org/10.1371/journal.pone.0287944 |
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