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Home > Mathematics and Science Textbooks > Biology, life sciences > Life sciences: general issues > Computational biology / bioinformatics > Killer Cell Dynamics: Mathematical and Computational Approaches to Immunology(32 Interdisciplinary Applied Mathematics)
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Killer Cell Dynamics: Mathematical and Computational Approaches to Immunology(32 Interdisciplinary Applied Mathematics)

Killer Cell Dynamics: Mathematical and Computational Approaches to Immunology(32 Interdisciplinary Applied Mathematics)


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About the Book

Systems biology and computational biology have recently become prominent areas of research in the biomedical community, especially in the area of cell biology. Given that much information on genes and their protein products has become available, the big question is how the individual components interact and work together, and how this determines the functioning of cells, organs, and organisms. Long before the popularity of systems biology in biomedicine, however, such approaches have been used successfully in a di?erent area of biology: population ecology. Research in the area of population dynamics - vestigated complex interactions between di?erent populations of organisms, such as the dynamics of competition and predation, food webs, community structure, as well as the epidemiology of infectious diseases. In this ?eld, t- oretical biology and mathematical modeling have become an integral part of research. Mathematical models allowed people to obtain interesting and counter-intuitive insights into how complex interactions among di?erent p- ulations can play out. Such mathematical studies not only gave rise to - teresting theoretical ideas, but also provided the basis for the design of new experimental work and de?ned major questions and directions of research. Around 1990, such population dynamic concepts, and the use of mathema- cal/computational approaches, started to be applied to the in vivo dynamics between viruses and the immune system. These interactions have many s- ilarities to ecological, epidemiological, and evolutionary principles. Consider theepidemiologicalspreadofapathogen(suchasthecommoncold)througha population of hosts.

Table of Contents:
Viruses and Immune Responses: A Dynamical View.- Models of CTL Responses and Correlates of Virus Control.- CTL Memory.- CD4 T Cell Help.- Immunodominance.- Multiple Infections and CTL Dynamics.- Control versus CTL-Induced Pathology.- Lytic versus Nonlytic Activity.- Dynamical Interactions between CTL and Antibody Responses.- Effector Molecules and CTL Homeostasis.- Virus-Induced Subversion of CTL Responses.- Boosting Immunity against Immunosuppressive Infections.- Evolutionary Aspects of Immunity.

Review :
From the reviews: "This book concentrates on a particular branch of the immune system: killer T cells … . the book provides an introduction to the field of mathematical immunology and an overview together a broad variety of immunological topics. … intended for an interdisciplinary audience, and it is written in a way such that experimental immunologists and virologists should be able to understand the arguments and to see the biological implications of the theory. An interesting text which might be a good complement to this book … ." (Eva Sanchez, Zentralblatt MATH, Vol. 1125 (2), 2008)


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Product Details
  • ISBN-13: 9781441921659
  • Publisher: Springer-Verlag New York Inc.
  • Publisher Imprint: Springer-Verlag New York Inc.
  • Height: 235 mm
  • No of Pages: 220
  • Returnable: N
  • Sub Title: Mathematical and Computational Approaches to Immunology
  • ISBN-10: 1441921656
  • Publisher Date: 01 Dec 2010
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Series Title: 32 Interdisciplinary Applied Mathematics
  • Width: 155 mm


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Killer Cell Dynamics: Mathematical and Computational Approaches to Immunology(32 Interdisciplinary Applied Mathematics)
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