000 04010nam a22005535i 4500
001 978-0-387-68733-9
003 DE-He213
005 20161121231124.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 _a9780387687339
_9978-0-387-68733-9
024 7 _a10.1007/978-0-387-68733-9
_2doi
050 4 _aQH323.5
050 4 _aQH324.2-324.25
072 7 _aPDE
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a570.285
_223
245 1 0 _aKiller Cell Dynamics
_h[electronic resource] :
_bMathematical and Computational Approaches to Immunology /
_cedited by Dominik Wodarz.
264 1 _aNew York, NY :
_bSpringer New York,
_c2007.
300 _aXIII, 220 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInterdisciplinary Applied Mathematics,
_x0939-6047 ;
_v32
505 0 _aViruses 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.
520 _aThis book reviews how mathematics can be used in combination with biological data in order to improve understanding of how the immune system works. This is illustrated largely in the context of viral infections. Mathematical models allow scientists to capture complex biological interactions in a clear mathematical language and to follow them to their precise logical conclusions. This can give rise to counter-intuitive insights which would not be attained by experiments alone, and can be used for the design of further experiments in order to address the mathematical results. This book provides both an introduction to the field of mathematical immunology, and an overview of many topics which are the subject of current research, covering a broad variety of immunological topics. It starts with basic principles of immunology and covers the dynamical interactions between the immune system and specific viral infections, including important human pathogens such as HIV. General biological and mathematical background material to both virus infection and immune system dynamics is provided, and each chapter begins with a simple introduction to the biological questions examined. This book is intended for an interdisciplinary audience. It explains the concept of mathematical modeling in immunology and shows how modeling has been used to address specific questions. It is intended both for the mathematical biologists who are interested in immunology, and for the biological readership that is interested in the use of mathematical models in immunology. Dominik Wodarz is an Associate Professor at the Department of Ecology and Evolutionary Biology at the University of California, Irvine.
650 0 _aMathematics.
650 0 _aImmunology.
650 0 _aCell biology.
650 0 _aEcology.
650 0 _aEvolutionary biology.
650 0 _aBiomathematics.
650 1 4 _aMathematics.
650 2 4 _aMathematical and Computational Biology.
650 2 4 _aImmunology.
650 2 4 _aEcology.
650 2 4 _aTheoretical Ecology/Statistics.
650 2 4 _aEvolutionary Biology.
650 2 4 _aCell Biology.
700 1 _aWodarz, Dominik.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387308937
830 0 _aInterdisciplinary Applied Mathematics,
_x0939-6047 ;
_v32
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-68733-9
912 _aZDB-2-SMA
950 _aMathematics and Statistics (Springer-11649)
999 _c508908
_d508908