Systems Immunology: An Introduction to Modeling Methods for Scientists

ISBN-13: 9781498717403 / Angielski / Twarda / 2018 / 334 str.

Jayajit Das; Ciriyam Jayaprakash

Opis

This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes.

Spis treści

1. Introduction to Basic Concepts in Immunology  2. Overview of Mechanistic Modeling: Techniques, Approximations, and Assumptions  3. The Fundamentals of Statistical Data Analysis  4. Using Data to Guide Model Construction: Application of Principal Component Analysis and Related Methods in Immunology Research  5. An Introduction to Rule-based Modeling of Immune Receptor Signaling  6. Boolean Models in Immunology  7. From evolutionary computation to phenotypic spandrels: inverse problem for immune ligand recognition  8. Zen and the Art of Parameter Estimation in Systems Biology  9. Spatial Kinetics in Immunological Modeling  10. Analysis and modeling of single cell data  11. Quantifying lymphocyte receptor diversity  12. Antigen receptor diversification during immune responses  13. Quantitative Modeling of Mast Cell Signaling  14. Physical models in immune signaling  15. Population Dynamics of Host and Pathogens  16. Viral fitness landscapes: A physical sciences perspective  17. A wish-list for modeling immunological synapses