Investigating the interplay of genetic variations, MCP-1 polymorphism, and docking with phytochemical inhibitors for combatting dengue virus pathogenicity through in silico analysis

Abstract

Understanding ten significant of dengue virus a paramount due to its persistent threat across the globe causing numerous epidemic and millions of deaths every year. Despite advancement in healthcare, emerging outbreaks continue to claim millions of lives annually. The virus with its various serotype possesses a significant challenge to public health worldwide, its transmission through the arthropods which feed on the blood of higher animals further exacerbates its impact. This elucidating the mechanism and factor contributing to dengue virus pathogenicity is essential for developing strategies to combat its spreading. A systemic review is done while studying about Dengue virus serotypes to evaluate the relationship of dengue with other viral load and to develop an inhibitor in viral protein by using different bioinformatics tools in silico molecular docking. Phytochemicals were chosen to hit the target site of protein for inhibiting its active site in pathogenesis of Dengue virus. A phylogenetic lineage was observed of virus with other members of its family. Dengue virus has same similarities in some part of genomic structure with other viruses. Data bases were used to trace the genome of the virus. Different components of virus were analyzed and link was developed among those components within virus and other family members. Protein docking was performed by using the bioinformatics software auto docking. A pharmaceutical drug designing was developed to create inhibitor of protein structure in Dengue virus serotype-2. A comprehensive review of the methodology employed in our study including the experimental and computational techniques were utilized. Further we presented the results by analysis of genetic variation MCP-1 polymorphism and docking phytochemical inhibitors.