Abstract
Since Edward Jenner’s first use of cowpox pustules against smallpox to the present use of subunit vaccines, vaccinology has seen a paradigm shift. The transition from time-intensive microbiological approaches to the current machine learningbased prediction algorithms for epitope identification has enabled the development of faster, cost-effective and efficient vaccines. However, to outrace the newer and deadlier emerging pathogens, our approach to vaccination needs to be constantly modified.
Highlights
Since Edward Jenner’s first use of cowpox pustules against smallpox to the present use of subunit vaccines, vaccinology has seen a paradigm shift
As we mark the final year of the Decade of Vaccines and its product Global Vaccine Action Plan (GVAP), we emphasize the significance of T- cell responses to achieve a successful vaccination
Such an approach is useful in persistent latestage chronic viral infections, where the body is unable to clear the infection (such as human immunodeficiency virus (HIV) [1], hepatitis C virus (HCV) [2], cytomegalovirus (CMV) [3], vaccinia virus [4])
Summary
Since Edward Jenner’s first use of cowpox pustules against smallpox to the present use of subunit vaccines, vaccinology has seen a paradigm shift. To Cite This Article: Shikha Tarang, Emerging Trends in T-cell based Vaccines. The transition from time-intensive microbiological approaches to the current machine learningbased prediction algorithms for epitope identification have enabled the development of faster, cost-effective and efficient vaccines.
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