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System Vaccinology: Applications, Trends, and Perspectives

Sambreen Zameer *, Asghar Mehdi**, Rehan Haider***, Geetha Kumari Das****, Zameer Ahmed*****

*,***** Department of Pathology, Dow University of Health Sciences, Karachi, Pakistan.

** Department of Pharmacology, Fazaia Ruth Pfau Medical College, Air University, Karachi, Pakistan.

*** Department of Pharmacy, University of Karachi, Pakistan.

**** OPJS University, Rajasthan, India.

Periodicity:May - August'2024
DOI : https://doi.org/10.26634/jls.3.2.21038

Abstract

Systems vaccinology is an emerging field that integrates structural biology and immunology to revolutionize vaccine development and evaluation. By leveraging high-throughput omics technologies, computational biology, and bioinformatics, systems vaccinology offers comprehensive insights into the molecular and cellular mechanisms underlying immune responses. This holistic approach enables the identification of novel biomarkers, the prediction of vaccine efficacy, and an understanding of adverse reactions. Recent applications in infectious diseases, cancer immunotherapy, and personalized vaccines have demonstrated the potential of systems vaccinology to enhance vaccine design and optimize immunization strategies. Trends highlight the integration of multi-omics data, machine learning algorithms, and big data analytics to create predictive models of vaccine responses. The application of systems vaccinology has led to the discovery of correlates of protection, aiding in the rational design of next-generation vaccines. Despite these advancements, challenges remain, including data integration, standardization, and the need for interdisciplinary collaboration. Future perspectives focus on the development of universally accepted vaccines, rapid-response systems for emerging pathogens, and the incorporation of artificial intelligence to accelerate vaccine discovery. Systems vaccinology stands at the forefront of transforming public health by providing robust tools to combat infectious diseases and enhance global immunization programs.

Keywords

Systems Vaccinology, Omics Technologies, Vaccine Development, Immune Responses, Biomarkers, Predictive Models, Personalized Vaccines, Data Integration, Machine Studying, Big Data Analytics.

How to Cite this Article?

Zameer, S., Mehdi, A., Haider, R., Das, G. K., and Ahmed, Z. (2024). System Vaccinology: Applications, Trends, and Perspectives. i-manager’s Journal on Life Sciences, 3(2), 42-59. https://doi.org/10.26634/jls.3.2.21038

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