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The immune system is highly complex system with large number of macromolecules, signaling pathways, protein-protein interactions, and gene expressions. Studies from genomics, transcriptomics, metabolomics are generating huge high throughput data that needs to be analyzed for understanding the Immune system in Health and Disease. Computational approaches arehelping in understanding the study of complex biology of immunology and thereby enabling design of therapeutic strategies in diseases like infectious diseases, immunodeficiency, allergic, hypersensitive, autoimmune disorders and diseases like Cancer, HIV etc.
Table of contents:
- List of Abbreviations
- Chapter 1 Overview of Immunology and Computational Immunology
- Chapter 2 Immune Organs and Cells, Antigen, and Antibody, B-Cell, and T-Cell Development
- Chapter 3 Antigen Processing and Presentation
- Chapter 4 Innate Immunity
- Chapter 5 Inflammation
- Chapter 6 Infection and Immunity
- Chapter 7 Transplantation Immunology
- Chapter 8 Vaccines
- Chapter 9 Diseases due to Abnormalities of the Immune System
- Chapter 10 Cancer Biology
- Glossary
- Index
Author:
Shyamasree Ghosh (MSc, PhD, PGDHE, PGDBI), is currently working in the School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, DAE, Govt of India, graduated from the prestigious Presidency College Kolkata in 1998. She was awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.
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