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Identification of effective plant metabolites in inhibition of HTLV-1 virus protease using network analysis approach

Document Type : Research Paper

Authors

1 MSc student in Biochemistry, Department of Biology, Faculty of Science, Hakim Sabzevari University, Iran.

2 Assistant Professor, Department of Biology, Faculty of Science, Hakim Sabzevari University, Iran. Orcid: 0000-0003-1655-6436

3 Assistant Professor, Department of Biology, Faculty of Science, Hakim Sabzevari University, Iran.

Abstract

Introduction: HTLV-1 virus is the first human retrovirus discovered for which there is currently no definitive treatment or vaccine. Antiretroviral treatment disrupts the life cycle of the virus and reduces the rate of infection but does not eliminate viral reservoirs. Due to the success of HIV-1 protease inhibitors in inhibiting the virus, HTLV-1 protease is also known to be an important target for disrupting the function of the virus.
Materials and methods: First, a database of plants effective in inhibiting the protease of 1-HTLV and 1-HIV viruses was prepared by data mining method. To identify key metabolites, plant-metabolite binary network was drawn with cytoscape software. Subsequently, the network was analyzed with network analyzer and cytohubba applicants.
Results and discussion: 990 plants containing 20046 metabolites were identified by data mining method. Network analysis using 8 different parameters led to the identification and introduction of 77 potential metabolites effective in inhibiting HTLV1 virus protease. The results showed that these compounds are derivatives of caffeic acid, quercetin and gibberellin, etc. and can be potential compounds to inhibit viral proteases. The results of the present study introduced several plant metabolites which can be used for the design of plant-based medicines effective in controlling and fighting HTLV1 viral infections.

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Applied Biology
Volume 37, Issue 4 - Serial Number 82
November 2024
Pages 88-96
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