Front Matter; 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; Back Matter
Summary
"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."--Jacket
Bibliography
Includes bibliographical references (pages 195-216) and index
