"Taken together, the body of information contained in this book
provides readers with a bird's-eye view of different aspects of
exciting work at the convergence of disciplines that will
ultimately lead to a future where we understand how immunity is
regulated, and how we can harness this knowledge toward practical
ends that reduce human suffering. I commend the editors for putting
this volume together." -Arup K. Chakraborty, Robert T. Haslam
Professor of Chemical Engineering, and Professor of Physics,
Chemistry, and Biological Engineering, Massachusetts Institute of
Technology, Cambridge, USA New experimental techniques in
immunology have produced large and complex data sets that require
quantitative modeling for analysis. 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. It begins with an
introduction to data analysis, approximations, and assumptions used
in model building. Core chapters address models and methods for
studying immune responses, with fundamental concepts clearly
defined. Readers from immunology, quantitative biology, and applied
physics will benefit from the following: Fundamental principles of
computational immunology and modern quantitative methods for
studying immune response at the single molecule, cellular,
organism, and population levels. An overview of basic concepts in
modeling and data analysis. Coverage of topics where mechanistic
modeling has contributed substantially to current understanding.
Discussion of genetic diversity of the immune system, cell
signaling in the immune system, immune response at the cell
population scale, and ecology of host-pathogen interactions.
General
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