An Empirical Study of Immune System Based On Bipartite Network - Nonlinear Sciences > Adaptation and Self-Organizing SystemsReport as inadecuate




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Abstract: Immune system is the most important defense system to resist human pathogens.In this paper we present an immune model with bipartite graphs theory. Wecollect data through COPE database and construct an immune cell- mediatorsnetwork. The act degree distribution of this network is proved to be power-law,with index of 1.8. From our analysis, we found that some mediators with highdegree are very important mediators in the process of regulating immuneactivity, such as TNF-alpha, IL-8, TNF-alpha receptors, CCL5, IL-6, IL-2receptors, TNF-beta receptors, TNF-beta, IL-4 receptors, IL-1 beta, CD54 and soon. These mediators are important in immune system to regulate their activity.We also found that the assortative of the immune system is -0.27. It revealsthat our immune system is non-social network. Finally we found similarity ofthe network is 0.13. Each two cells are similar to small extent. It revealsthat many cells have its unique features. The results show that this modelcould describe the immune system comprehensive.



Author: Sheng-Rong Zou, Yu-Jing Peng, Zhong-Wei Guo, Ta Zhou, Chang-gui Gu, Da-Ren He

Source: https://arxiv.org/



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