The development and use of vaccines significantly reduced morbidity and mortality in vaccine-preventable diseases. Conventional vaccine improvement was largely based on the Pasteur formula “isolate, inactivate, and inject.” However, with the introduction of high-throughput technologies, the era of modern vaccine design emerged. Reverse vaccinology (RV) and structural vaccinology (SV) approaches took vaccine discovery beyond Pasteur’s rules, utilizing computational resources to design vaccines based on genome and antigen-structural data. The current chapter provides an overview of these modern approaches, their applications in viral vaccine design, and vaccine development. This chapter describes newer concepts based on systems biology, structural biology, and mathematical modeling, which are driving vaccine research in novel directions.

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Reverse and Structural Viral and Bacterial Vaccine Design

  • Nirmaladevi Ponnusamy,
  • Nakul Ravi,
  • Tamilbharathi Palanisamy,
  • Faraz Ahmad,
  • Mohanapriya Arumugam

摘要

The development and use of vaccines significantly reduced morbidity and mortality in vaccine-preventable diseases. Conventional vaccine improvement was largely based on the Pasteur formula “isolate, inactivate, and inject.” However, with the introduction of high-throughput technologies, the era of modern vaccine design emerged. Reverse vaccinology (RV) and structural vaccinology (SV) approaches took vaccine discovery beyond Pasteur’s rules, utilizing computational resources to design vaccines based on genome and antigen-structural data. The current chapter provides an overview of these modern approaches, their applications in viral vaccine design, and vaccine development. This chapter describes newer concepts based on systems biology, structural biology, and mathematical modeling, which are driving vaccine research in novel directions.