Reverse Vaccinology

Concept, Methods and Advancement

Jayashankar Das, Sushma Dave, Siomar de Castro Soares, Sandeep Tiwari, Jayashankar Das, Sushma Dave, Siomar de Castro Soares, Sandeep Tiwari

• Publisher: Academic Press
• Year: 2024
• Print ISBN:
  9780443133954
• eBook ISBN:
  9780443133961
• Topic: Biological Sciences
• Subtopic: Molecular Biology
• Index: Biological Sciences

Reverse Vaccinology: Concept, Methods and Advancement presents the development strategy of new vaccines through genome sequencing bioinformatics analysis. Reverse vaccinology promises to revolutionize vaccine development, especially for pathogens to which the classical applications of Pasteur's principles have failed, and it is explained in detail in this book.The book is split into three sections: the first, Concept, brings the basis of reverse vaccinology, vaccine antigen discovery, and subunit vaccine; the second, Tools and Methods, describes immunoinformatic, proteomics for epitope-vaccine design, data bases, network analysis, machine learning, and NGS driven antigen screening technology; and the last one, Disease Case Study, discusses real-world examples in the development of new vaccines for diverse diseases.It is a valuable resource for bioinformaticians, researchers, students, and member of the biomedical and medical fields who want to learn more about a new and agile process for the development of new vaccines. - Explains the fundamentals of reverse vaccinology and how it can save time in the development of new vaccines - Focuses on the efforts to develop a vaccine candidate against various pathogens using computational approaches - Presents databases and web servers for conducting reverse vaccinology - Describes the screening process of potential vaccine candidate through machine learning

Table of contents

• Reverse Vaccinology
• Cover
• Title page
• Copyright
• Table of Contents
• List of contributors
• About the editors
• Preface
• Chapter 1 Fundamentals of reverse vaccinology: history and advantages over the discovery of conventional vaccine candidates
• Chapter 2 Vaccine antigen discovery: a breakthrough in genomic era
• Chapter 3 Development of subunit vaccine: A step forward toward cost-effective technology of vaccine candidate discovery
• Chapter 4 Machine learning approach for vaccine development-fundamentals
• Chapter 5 Immunoinformatics: an interdisciplinary technique for designing and engineering vaccine antigen
• Chapter 6 Proteomics for epitope-based vaccine design
• Chapter 7 Databases and web server for conducting reverse vaccinology
• Chapter 8 Bacterial dynamics and network analysis for antigen screening
• Chapter 9 Tools and platform for allergenicity prediction
• Chapter 10 Screening of potential vaccine candidates through machine learning approach
• Chapter 11 Reverse vaccinology 2.0: computational resources for B-cell epitope prediction
• Chapter 12 Structural vaccinology approaches to enhance efficacy, stability, and delivery of protective antigens
• Chapter 13 Next-gen sequencing-driven antigen screening technology in vaccine development
• Chapter 14 Bioinformatics approach to design peptide vaccines for viruses
• Chapter 15 Confirmation of candidates identified by reverse vaccinology in animal models or other immunogenicity assays
• Chapter 16 Clinical trials of vaccines incorporating antigens identified from a reverse vaccinology approach
• Chapter 17 Developing meningococcal and bacterial vaccines using reverse vaccinology Review on the development of the meningococcal and bacterial vaccines (Streptococcus and Staphylococcus) using reverse vaccinology
• Index