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List of figures
List of abbreviations
About the authors
Chapter 1: MHC and T cell responses
1.1 Genetic organization of the MHC
1.2 MHC structure
1.3 MHC function
1.4 Peptide binding
Chapter 2: Immunoglobulins and B cell responses
2.1 Types of immunoglobulins
2.2 Immunoglobulin structure
2.3 Immunoglobulin function
2.4 Antigen binding
Chapter 3: Scientific publications and databases
3.1 Bibliographical information
3.2 Searching the literature
3.3 General databases containing information on genes and proteins
3.4 Immunological databases
3.5 Small molecule databases
Chapter 4: Database design
4.1 Fundamentals of database design
4.2 ER diagram
4.3 Normalization and normal forms
Chapter 5: Computational T cell vaccine design
5.1 Sequence-based methods
5.2 Structure-based methods
5.3 Broad-based T cell vaccine design
Chapter 6: Computational B cell vaccine design
6.1 Sequence-based methods
6.2 Structure-based methods
Chapter 7: Infectious disease informatics
7.1 Infectious diseases in history
7.2 Microbial sequence analysis
7.3 Detecting natural selection in molecular evolution
Chapter 8: Vaccine safety and quality assessments
8.1 Assessment of ADME/Tox deficiencies
8.2 Assessment of allergenicity
Chapter 9: Vaccine adjuvant informatics
9.1 Virtual combinatorial library
9.2 Chemical file formats
9.3 Considerations for virtual library design
Computational pre-screening of antigens is now routinely applied to the discovery of vaccine candidates.
Computer-aided vaccine design is a comprehensive introduction to this exciting field of study. The book is intended to be a textbook for researchers and for courses in bioinformatics, as well as a laboratory reference guide. It is written mainly for biologists who want to understand the current methods of computer-aided vaccine design. The contents are designed to help biologists appreciate the underlying concepts and algorithms used, as well as limitations of the methods and strategies for their use. Chapters include: MHC and T cell responses; Immunoglobulins and B cell responses; Scientific publications and databases; Database design; Computational T cell vaccine design; Computational B cell vaccine design; infectious disease informatics; Vaccine safety and quality assessments; and Vaccine adjuvant informatics.
- Essential reading for any biologist who wants to understand methods of computer-aided vaccine design
- Description of available data sources and publicly available software, with detailed analysis of strengths and weaknesses
- Theoretical concepts and practical examples of database design and development for a virtual screening campaign
Computational biologists who would like to understand more about the biological concepts related to the field of computational immunology
- No. of pages:
- © Woodhead Publishing 2013
- 31st July 2013
- Woodhead Publishing
- Hardcover ISBN:
- eBook ISBN:
Dr Joo Chuan Tong is a Senior Scientist at the A*STAR Institute of High Performance Computing, Singapore. He is an Adjunct Assistant Professor at the Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore. Dr. Tong has won numerous awards, including the MIT TR35 Award in 2008 and Singapore Youth Award (Science and Technology) in 2009, and is the only Asian on the Senior Innovation Advisory Board of Pfizer Inc, the world’s largest research-based pharmaceutical company, at their world headquarters in New York, USA.
A*STAR Institute for Infocomm Research, Singapore
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