Novel vaccine design based on genomics data analysis: A review

Area of Science:

• Vaccinology
• Genomics
• Computational Biology

Background:

• Pathogenic strain evolution necessitates continuous vaccine development.
• Recent advances in computational vaccinology and genome sequencing offer new possibilities.
• Understanding vaccine evolution is crucial for developing effective disease prevention strategies.

Purpose of the Study:

• To review the historical evolution of vaccines.
• To discuss the characteristics and limitations of different vaccine generations.
• To explore current and emerging approaches in rational vaccine development.

Main Methods:

• Literature review using major scientific databases (Google Scholar, Web of Science, Scopus, etc.).
• Analysis of vaccine action pathways using computational tools (NCBI, GeneMANIA, STRING).
• Investigation of innovative tools like recombinant technologies and intra-dermal devices.

Main Results:

• Vaccine development has progressed from first-generation to sophisticated modern approaches.
• Computational tools and genomic data integration are key to identifying vaccine candidates.
• New technologies enhance understanding of host-pathogen interactions for improved immunological response.

Conclusions:

• Integrating transcriptomic and proteomic approaches is essential for future vaccine development.
• Genomic data-guided immunization shows promise but requires case-by-case assessment.
• The efficacy of new vaccine strategies depends on pathogen, antigen, and desired immune response.