Title :
Immune system simulation: Modeling the mast cell
Author :
Silva, Charles Cássio da ; de Paiva Oliveira, Alcione ; De Araujo Possi, Maurilio ; Cerqueira, Fabio Ribeiro ; Gomes, Andreia Patrícia ; Santana, Luiz Alberto ; Siqueira-Batista, Rodrigo
Author_Institution :
Dept. of Inf., Fed. Univ. of Vicosa (UFV), Vicosa, Brazil
Abstract :
Among the possibilities for simulating the immune system, the multiagent systems approach has proved to be attractive, since only the behavior of the types of agents is specified. The global behavior emerges from the interactions among agents. This feature is similar to the behavior of the immune system, consisting of large amounts of cell types that interact to maintain the body health. The simulation of the immune system requires modeling various types of cells and substances. This paper presents the modeling of a software agent that simulates the behavior of the mast cells. Some simulations were performed to validate the model.
Keywords :
biology computing; cellular biophysics; multi-agent systems; physiological models; simulation; software agents; immune system behavior; immune system simulation; mast cell modeling; multiagent systems approach; software agent; Adaptation models; Biological system modeling; Computational modeling; Immune system; Microorganisms; Multiagent systems; Pathogens; immune system simulation; in-silico models; mast cell; multiagent systems;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4673-2559-2
Electronic_ISBN :
978-1-4673-2558-5
DOI :
10.1109/BIBM.2012.6392703
