000			03963nam a22005175i 4500
001			978-0-387-68733-9
003			DE-He213
005			20250710084007.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387687339 _a99780387687339
024	7		_a10.1007/978-0-387-68733-9 _2doi
082	0	4	_a570.151 _223
100	1		_aWodarz, Dominik. _eeditor.
245	1	0	_aKiller Cell Dynamics _h[recurso electrónico] : _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			_arecurso en línea _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	_aCYTOLOGY.
650		0	_aECOLOGY.
650		0	_aEVOLUTION (BIOLOGY).
650		0	_aBIOLOGY _xMATHEMATICS.
650	1	4	_aMATHEMATICS.
650	2	4	_aMATHEMATICAL BIOLOGY IN GENERAL.
650	2	4	_aIMMUNOLOGY.
650	2	4	_aECOLOGY.
650	2	4	_aTHEORETICAL ECOLOGY/STATISTICS.
650	2	4	_aEVOLUTIONARY BIOLOGY.
650	2	4	_aCELL BIOLOGY.
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 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c58013 _d58013