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
1. Reverse Vaccinology - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of Contributors - p. xi 7. About the editors - p. xvii 8. Preface - p. xix 9. Chapter 1 Fundamentals of reverse vaccinology: history and advantages over the discovery of conventional vaccine candidates - p. 3 10. Chapter 2 Vaccine antigen discovery: a breakthrough in genomic era - p. 31 11. Chapter 3 Development of subunit vaccine: A step forward toward cost-effective technology of vaccine candidate discovery - p. 41 12. Chapter 4 Machine learning approach for vaccine development-fundamentals - p. 63 13. Chapter 5 Immunoinformatics: an interdisciplinary technique for designing and engineering vaccine antigen - p. 87 14. Chapter 6 Proteomics for epitope-based vaccine design - p. 101 15. Chapter 7 Databases and web server for conducting reverse vaccinology - p. 117 16. Chapter 8 Bacterial dynamics and network analysis for antigen screening - p. 137 17. Chapter 9 Tools and platform for allergenicity prediction - p. 165 18. Chapter 10 Screening of potential vaccine candidates through machine learning approach - p. 179 19. Chapter 11 Reverse vaccinology 2.0: computational resources for B-cell epitope prediction - p. 203 20. Chapter 12 Structural vaccinology approaches to enhance efficacy, stability, and delivery of protective antigens - p. 217 21. Chapter 13 Next-gen sequencing-driven antigen screening technology in vaccine development - p. 237 22. Chapter 14 Bioinformatics approach to design peptide vaccines for viruses - p. 265 23. Chapter 15 Confirmation of candidates identified by reverse vaccinology in animal models or other immunogenicity assays - p. 289 24. Chapter 16 Clinical trials of vaccines incorporating antigens identified from a reverse vaccinology approach - p. 309 25. 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 - p. 321 26. Index - p. 345
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
1. Reverse Vaccinology - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of Contributors - p. xi 7. About the editors - p. xvii 8. Preface - p. xix 9. Chapter 1 Fundamentals of reverse vaccinology: history and advantages over the discovery of conventional vaccine candidates - p. 3 10. Chapter 2 Vaccine antigen discovery: a breakthrough in genomic era - p. 31 11. Chapter 3 Development of subunit vaccine: A step forward toward cost-effective technology of vaccine candidate discovery - p. 41 12. Chapter 4 Machine learning approach for vaccine development-fundamentals - p. 63 13. Chapter 5 Immunoinformatics: an interdisciplinary technique for designing and engineering vaccine antigen - p. 87 14. Chapter 6 Proteomics for epitope-based vaccine design - p. 101 15. Chapter 7 Databases and web server for conducting reverse vaccinology - p. 117 16. Chapter 8 Bacterial dynamics and network analysis for antigen screening - p. 137 17. Chapter 9 Tools and platform for allergenicity prediction - p. 165 18. Chapter 10 Screening of potential vaccine candidates through machine learning approach - p. 179 19. Chapter 11 Reverse vaccinology 2.0: computational resources for B-cell epitope prediction - p. 203 20. Chapter 12 Structural vaccinology approaches to enhance efficacy, stability, and delivery of protective antigens - p. 217 21. Chapter 13 Next-gen sequencing-driven antigen screening technology in vaccine development - p. 237 22. Chapter 14 Bioinformatics approach to design peptide vaccines for viruses - p. 265 23. Chapter 15 Confirmation of candidates identified by reverse vaccinology in animal models or other immunogenicity assays - p. 289 24. Chapter 16 Clinical trials of vaccines incorporating antigens identified from a reverse vaccinology approach - p. 309 25. 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 - p. 321 26. Index - p. 345
