Systems Immunology An Introduction To Modeling Methods For Scientists (Hb 2019) Hardcover

This book offers a comprehensive overview of computational immunology, covering the full spectrum from basic concepts to advanced mathematical modeling at various levels, including single molecules, cells, organisms, and populations. It highlights the use of modern mechanistic models in predicting immune responses, designing experiments, and understanding biochemical processes. The volume begins with an introduction to data analysis, model assumptions, and approximations, followed by core chapters on modeling immune responses, with clear explanations of key principles. Readers in immunology, quantitative biology, and applied physics will benefit from insights into the fundamental principles of computational immunology, along with modern methods for studying immune responses. Topics include genetic diversity in the immune system, cell signaling, immune responses at the cell population scale, and the ecology of host-pathogen interactions. This work also emphasizes the role of mechanistic modeling in advancing current understanding of immune systems.