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it - Information Technology

Methods and Applications of Informatics and Information Technology

Editor-in-Chief: Molitor, Paul

6 Issues per year

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2196-7032
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Volume 55, Issue 1 (Feb 2013)

Issues

Search and Learning in the Immune System: Models of Immune Surveillance and Negative Selection

Johannes Textor
Published Online: 2013-02-08 | DOI: https://doi.org/10.1524/itit.2013.0005

Abstract

To protect our bodies against malicious antigens, our immune system needs to solve several difficult information processing problems. We propose algorithmic models of how the immune system finds intruding antigen as quickly and robustly as possible (a search problem) and how it reliably distinguishes proteins of foreign origin from normal host proteins (a classification problem). The analysis of these models provides novel qualitative and quantitative insights into the workings of the immune system, and yields predictions that can be tested experimentally.

Zusammenfassung

Um unseren Körper vor bösartigen Eindringlingen zu schützen, muss unser Immunsystem mehrere schwierige Informationsverarbeitungsprobleme lösen. Wir schlagen algorithmische Modelle für zwei dieser Probleme vor: Wie kann eindringendes Antigen so schnell und robust wie möglich gefunden werden (ein Suchproblem), und wie kann es zuverlässig von normalen Bestandteilen des Wirts unterschieden werden (ein Klassifikationsproblem)? Durch Analyse dieser Modelle erhalten wir neue qualitative und quantitative Erkenntnisse über die Funktion des Immunsystems und experimentell testbare Implikationen.

Keywords: ACM CCS 2012: Computing methodologies: Computer grahics; ACM CCS 2012: Software and its engineering: Software creation and management; immune systems; information processing system; computer graphics

About the article

* Correspondence address: Universiteit Utrecht, Padualaan 8, Utrecht, Niederlande,


Published Online: 2013-02-08

Published in Print: 2013-02-01


Citation Information: it - Information Technology Methoden und innovative Anwendungen der Informatik und Informationstechnik, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1524/itit.2013.0005.

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© by Oldenbourg Wissenschaftsverlag, München, Germany. Copyright Clearance Center

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