Titlebook: In Silico Immunology; Darren Flower,Jon Timmis Book 2007 Springer-Verlag US 2007 In silico.Master Patient Index.algorithms.artificial immu

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Book 2007g synergy, albeit one only now being properly explored and exploited, between immunol­ ogy and computational science. This area of intersection we christen in silico immunology. Immunology is an inspiration for computational scientists seek­ ing practical and philosophical metaphors for their work;

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earch: theoretical immunology, immunoinformatics, and ArtifiWhatever its final readership and impact, we, the Editors, feel this book is im­ portant. It addresses the realisation that there is a deep and abiding synergy, albeit one only now being properly explored and exploited, between immunol­ ogy

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Innate and Adaptive Immunitytargets using randomly generated receptors which have an essentially unlimited recognition repertoire. Interactions between innate and adaptive forms of immune recognition are increasingly being recognised as essential for the effective functioning of the immune response. Examples given here demonst

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Immunoinformatics and Computational Vaccinology: A Brief Introductionication of bioinformatic methods to the unique problems of immunology and vaccinology. Immunoinformatics, as a principal component of incipient immunomic technologies, is beginning to foment important changes within immunology, as this key discipline tries to free itself from the empirical straight

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A Beginners Guide to Artificial Immune Systemsthe immune system, computer scientists and engineers have created systems that in some way mimic or capture certain computationally appealing properties of the immune system, with the aim of building more robust and adaptable solutions. In this chapter, we will explore the basics of AIS, charting th