Immunoinformatics-Driven Strategies for Advancing Epitope-Based Vaccine Design for West Nile Virus.

The West Nile virus (WNV) is the causative agent of West Nile disease (WND), which poses a potential risk of meningitis or encephalitis. The aim of the study was to design an epitope-based vaccine for WNV by utilizing computational analyses. The epitope-based vaccine design process encompassed WNV sequence collection, phylogenetic tree construction, and sequence alignment. Computational models identified B-cell and T-cell epitopes, followed by immunological property analysis. Epitopes were then modeled and docked with B-cell receptors, MHC I, and MHC II. Molecular dynamics simulations further explored dynamic interactions between epitopes and receptors. The findings indicated that the B-cell epitope QINHHWHKSGSSIG, along with three T-cell epitopes (FLVHREWFM for MHC I, NPFVSVATANAKVLI for MHC II, and NAYYVMTVGTKTFLV for MHC II), successfully passed the immunological evaluations. These four epitopes were further subjected to docking and molecular dynamics simulation studies. Although each demonstrated favorable affinities with their respective receptors, only NAYYVMTVGTKTFLV displayed a stable interaction with MHC II during MDS analysis, hence emerging as a potential candidate for a WNV epitope-based vaccine. This study demonstrates a comprehensive approach to epitope vaccine design, combining computational analyses, molecular modeling, and simulation techniques to identify potential vaccine candidates for WNV.

Data on the docking of phytoconstituents of betel plant and matcha green tea on SARS-CoV-2.

Betel (Piper betle L.) and green tea (Camellia sinensis (L) O. Kuntze) have been used for a long time as traditional medicine. The docking of phytoconstituents contained in the betel plant was evaluated against Mpro, and matcha green tea was evaluated against five target receptors of SARS-CoV-2 as follows: spike ectodomain structure (open state), receptor-binding domain (RDB), main protease (Mpro), RNA-dependent RNA polymerase (RdRp), dan papain-like protease (PLpro). The evaluation was carried out based on the value of binding-free energy and the types of interactions of the amino acids at the receptors that interact with the ligands.