Systems Immunology: An Introduction to Modeling Methods for Scientists

This book provides a comprehensive overview of computational immunology, covering basic concepts to mathematical modeling at various levels, and highlighting its applications in understanding immune responses and reducing human suffering.

Format: Paperback / softback
Length: 334 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd

This comprehensive book offers readers a comprehensive overview of computational immunology, a field that plays a crucial role in analyzing the vast and complex data sets generated by new experimental techniques in immunology. Covering a wide range of topics, from basic concepts to advanced mathematical modeling at multiple scales, it provides a valuable resource for researchers and practitioners in immunology, quantitative biology, and applied physics.

The book begins by introducing the fundamental principles of computational immunology and the quantitative methods employed to study immune responses. It then delves into the various models and methods used to simulate immune systems, including molecular dynamics simulations, agent-based models, and machine learning algorithms. Each chapter is carefully structured to provide a clear understanding of the key concepts, with fundamental principles clearly defined and illustrated with examples and case studies.

One of the key strengths of this book is its coverage of topics where mechanistic modeling has made significant contributions to our understanding of immune responses. The authors discuss how these models can be used to predict immune responses, design experiments, and identify potential drug targets. They also highlight the importance of considering genetic diversity and other factors that influence immune responses in realistic models.

The book is written in a clear and accessible style, making it suitable for both advanced students and researchers in the field. It includes numerous figures, tables, and references to further reading, allowing readers to explore specific topics in greater detail. Additionally, the book's online resources, including supplementary material and code, provide additional support and guidance for those who wish to further their understanding of computational immunology.

In conclusion, this book is an essential resource for anyone interested in computational immunology. It provides a comprehensive and up-to-date overview of the field, covering a wide range of topics and presenting them in a clear and accessible manner. With its emphasis on mechanistic modeling and its application to real-world problems, it is sure to be of great value to researchers and practitioners in immunology, quantitative biology, and applied physics.

Weight: 653g
Dimension: 254 x 178 (mm)
ISBN-13: 9780367780920