Research Article
Open access
Peer reviewed
Static Analysis of Dengue Biological Regulatory Network’s
- Department of Computer & Software Technology, University of Swat, Pakistan
- Glocal University Pharmacy College, Glocal University Saharanpur, India
- Department of Computer Science, Govt. Degree College Kabal Affiliated with University of Swat, Pakistan
- Department of Software Engineering, University of Lahore, Pakistan
- Received
- Published
DOI
https://doi.org/10.55006/biolsciences.2023.3203
Citation
Biological Sciences, Vol. 3 No. 2 (2023), 406-416
Abstract
Dengue is an acute viral illness caused by the RNA virus of the family Flaviviridae and spread by Aedes mosquitoes. Intense dengue is a spreading cause of serious disease and death in some ’Asian and South American’ countries. Pathogenesis is associated with the amended functioning of our innate immune system during infection. Toll Like Receptor is influential for the involucre of innate immunity able to cause dengue infection disease like pattern receptor recognition. Toll-like receptors induced by injury of a certain severity arbitrate activation of interferons and Fc receptors arbitrate the involucre of cytokines. Clearance of dengue virus is associated with interferon protein; however regulatory mechanisms have been adopted against this modified effect. The clearance is considered to be a steady state known to be characterized by a low threshold level of DENV. The pathogenic state is characterized by a high threshold level of SOCS. SOCS protein is also induced due to interferon and cytokine-amended signaling, which can subsequently play its part in the regulation of interferon and cytokine production. Our hypothesis in this research the innate immunity system is associated between the pathogenesis of the dengue virus and the SOCS-amended inhibition. We used the static formalism model of the biological regulatory network of Toll-like receptors induced by the pathogenesis of dengue amended signaling pathway. A model verification method used in GINsim was used to deduce the logical parameters for the qualitative modelling. Therefore, a multidisciplinary and translational study we constructed a formal model constraint the approach with a static and integrative computational analysis, which may identify new immunopathological mechanisms and biomarkers for differential diagnosis, opening the way for the development of specific therapies that will reduce mortality and induce morbidity by dengue virus.
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