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Reverse Vaccinology. Concept, Methods and Advancement

  • Book

  • July 2024
  • Elsevier Science and Technology
  • ID: 5917419
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.

The book's final section, 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.

Table of Contents

Section 1: Concept
1. Fundamentals of Reverse Vaccinology: History and advantage over the discovery of conventional vaccine candidate
2. Vaccine Antigen Discovery: Breakthrough in genomics era
Cemal Un, Ecem Su Kockaya, H�seyin Can
3. Development of Subunit Vaccine: A step forward towards cost effective technology of vaccine candidate discovery
Babar Jamal

Section 2: Tools and Methods
4. Fundamentals of Machine Learning Approach for Vaccine Development
Dhanalakshmi Menamadathil
5. Immunoinformatic: An interdisciplinary technique for designing and engineering vaccine antigen
Tara Chand Yadav
6. Proteomics for Epitope-vaccine Design
Thiago Castro
7. Data bases and Web Servers for Conducting Reverse Vaccinology
Rommel Ramos
8. Bacterial Dynamics and Network Analysis for Antigen Screening
Flavia Figueira Aburjaile
9. Tools and Platform for Allergenicity Prediction
Georrge John J
10. Screening of Potential Vaccine Candidate Through Machine Learning Approach
Amjad Ali
11. Reverse Vaccinology 2.0
Georrge John J
12. Structural Vaccinology Approaches to Enhance Efficacy, Stability and Delivery of Protective Antigens
Tara Chand Yadav
13. NGS Driven Antigen Screening Technology in Vaccine Development
Medha Pandya

Section 3: Disease Case Study
14. Bioinformatics Approach Design of Peptide Vaccine for Viruses
Flavia Figueira Aburjaile
15. Confirmation of Candidates Identified by RV in Animal Models or Other Immunogenicity Assays
Helioswilton Sales-Campos
16. Clinical Trials of Vaccines Incorporating Antigens Identified From an RV Approach
Marcos Silva
17. Review on the Development of the Meningococcal Vaccine, Bacterial Vaccines (Streptococcus, Staphylococcus) using Reverse Vaccinology
Silvana Marchioro

Authors

Jayashankar Das Director of Research, Valnizen Healthcare Pvt Ltd, India.

Dr. Das received his PhD in Biotechnology and served as a Scientist at IBSD, DBT, and Government of India. He is founder and CEO of Valnizen which deals with regulatory documents and healthcare compliances and support services to African and southeast Asian countries. He has served as Joint Director to Gujarat State Biotechnology Mission, DST, and Joint Director to Gujarat Biotechnology Research Centre, DST, both from Government of Gujarat. He has served as Director, Savli Technology Business Incubator, DST, Government of Gujarat, India. He was actively involved in development and implementation of various policies and action plans like Biotechnology policy, Innovation policy, Interpole disaster management policy, start-up policy for many Universities and Government. His research team is involved in addressing societal challenges via cutting-edge research viz. development of molecular diagnostics for infectious diseases, development of universal vaccine candidate for emerging diseases, development of miRNA based targeted therapeutics, and artificial intelligence in healthcare applications.

Sushma Dave Associate Professor, Department of applied sciences, JIET, Jodhpur, Rajasthan, India.

Dr. Sushma Dave received Master of Science and PHD in Analytical, Electrochemistry and Environmental Chemistry from Biosensor Lab in Chemistry Department of Jai Narayan Vyas University, Jodhpur. She is involved continuously in the field of higher education teaching pure, applied chemistry, cheminformatics, nanotechnology, electrochemistry, biology, solid waste management, wastewater treatment and environmental chemistry to students of Engineering and basic sciences. She also served as Research Associate in Soil Biochemistry and Microbiology Division CAZRI, Jodhpur. She has published and presented over 50 papers in international and national journals, conferences and participated in various workshops and training programs. Her areas of interest are electrochemistry, biosensors environmental science, nanotechnology, biochemistry, cheminformatics, immunoinformatics, and drug repurposing.

Siomar de Castro Soares Assistant Professor, Natural and Biologic Sciences Institute, Federal University of Triangulo Mineiro, Brazil.

Dr. Soares obtained his MSc and PHD in Genetics from Federal University of Minas Gerais with 1 year experience in the Center for Biotechnology (CeBiTec) of Universit�t Bielefeld. He obtained a second PhD and Post-Doc research in Bioinformatics. He was Senior Bioinformatics' Researcher at the Official Laboratory of the Ministry of Fisheries. Dr. Soares is currently Secretary of the Southeast Regional of the Brazilian Society of Genetics (2017-present), Substitute Coordinator of the Bachelors in Biomedicine of UFTM (2017-present), Director of the Department for the Development of Research and Technological Innovation of UFTM (2019-present) and Affiliate Member of the Brazilian Academy of Sciences (2018-present). Areas of expertise: molecular genetics, genomic sequencing and microbial comparative genomics, mainly focused on pan-genomics, the role of pathogenicity islands and virulence factors in genome plasticity, phylogenomics, molecular epidemiology, reverse vaccinology and software development (Perl and java languages).

Sandeep Tiwari Post-doctoral Research Fellow, Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais, Brazil. Dr. Tiwari obtained his BSc from Deen Dayal Upadhyaya Gorakhpur University, MSc in Bioinformatics from Devi Ahilya University, and PhD in Bioinformatics from Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais, Brazil. He is Guest Associate Editorial Board of Frontier in Genetics and frequently serves as an external reviewer for PeerJ and Frontiers. His main areas of expertise are molecular genetics, genomic sequencing and comparative genomics of microorganisms, with a focus on pan-genomics, genomic plasticity in the identification of pathogenicity islands and virulence factors for drug discovery, phylogenomic, molecular epidemiology, reverse vaccinology, and immunoinformatic.