In Silico Study of Transmembrane Topology of Predicted Epitopes of DENV Using Bioinformatics Tools

Abstract

Dengue virus (DENV) remains a major global health concern due to its widespread prevalence and significant disease burden, particularly in tropical and subtropical regions. Despite extensive research, the genetic variability of the virus and the interplay between its serotypes complicate the development of effective therapeutics. Furthermore, understanding its transmembrane topology and immune evasion mechanisms is critical for advancing vaccine design. This research is significant in predicting the 3D structure of DENV membrane proteins through in silico analysis, demonstrating that bioinformatics can accelerate the identification of DENV epitopes.