Killer Cell Dynamics : Mathematical and Computational Approaches to Immunology

This 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 cle...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijä: Wodarz, Dominik
Aineistotyyppi: Livre numérique
Kieli:Anglais
Julkaistu: New York, NY : Springer New York [20..].
Cham : Springer Nature
Painos:1st ed. 2007.
Sarja:Interdisciplinary Applied Mathematics 32
Aiheet:
Linkit:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Huomautus: L'impression du document génère 224 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Killer cell dynamics, mathematical and computational approaches to immunology, Dominik Wodarz, New York, NY, Springer, 2007, 1 vol. (XIII-220 p.), Interdisciplinary applied mathematics, 978-0-387-30893-7
• Killer Cell Dynamics, Texte imprimé, 9781441921659
• Killer Cell Dynamics, Texte imprimé, 9780387511511
• Killer cell dynamics, mathematical and computational approaches to immunology, Dominik Wodarz, New York, NY, Springer, 2007, 1 vol. (XIII-220 p.), Interdisciplinary applied mathematics, 978-0-387-30893-7
• Killer Cell Dynamics, Texte imprimé, 9781441921659
• Killer Cell Dynamics, Texte imprimé, 9780387511511
• Killer cell dynamics, mathematical and computational approaches to immunology, Dominik Wodarz, New York, NY, Springer, 2007, 1 vol. (XIII-220 p.), Interdisciplinary applied mathematics, 978-0-387-30893-7
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100 1 |a Wodarz, Dominik. 
245 1 0 |a Killer Cell Dynamics :  |b Mathematical and Computational Approaches to Immunology   |c Dominik Wodarz. 
250 |a 1st ed. 2007. 
260 |a New York, NY :  |b Springer New York. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
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500 |a Archives Springer e-books (Licence nationale) 
504 |a Bibliogr. Index 
505 1 |a 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. 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
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506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a This 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 |a Immunologie  |x Modèles mathématiques 
650 |a Viroses  |x Modèles mathématiques 
650 |a Cellules K (lymphocytes) 
650 |a Cellules T 
650 |a Biomathématiques 
650 |a Immunologie  |x Mathématiques 
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