Evaluating Theories of Immunological Memory Using Large-Scale Simulations

Autor:	M. J. Robbins, Simon M. Garrett
Rok vydání:	2005
Předmět:	Scale (ratio) Computer science business.industry Artificial immune system In silico Immunological memory Machine learning computer.software_genre Cellular automaton Immune system Artificial intelligence Set (psychology) business computer
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540281757 ICARIS
DOI:	10.1007/11536444_15
Popis:	Immunological simulations offer the possibility of performing high-throughput experiments in silico that can predict, or at least suggest, in vivo phenomena. In this paper, we first validate an experimental immunological simulator, developed by the authors, by simulating several theories of immunological memory with known results. We then use the same system to evaluate the predicted effects of a theory of immunological memory. The resulting model has not been explored before in artificial immune systems research, and we compare the simulated in silico output with in vivo measurements. We conclude that the theory appears valid, but that there are a common set of reasons why simulations are a useful support tool, not conclusive in themselves.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::184d8223298fb44b069e091e5146d4e2 https://doi.org/10.1007/11536444_15 Zobrazit plný text záznamu