The study on the characters of membrane protein interaction and its network based on integrated intelligence method.
- Author:
Yizhen SHEN
1
;
Yongsheng DING
;
Kuangrong HAO
Author Information
1. College of Information Sciences and Technology, Donghua University, Shanghai 201620, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Animals;
Artificial Intelligence;
Computational Biology;
methods;
Computer Simulation;
Humans;
Membrane Proteins;
chemistry;
Protein Binding;
Protein Interaction Mapping;
methods;
Protein Interaction Maps
- From:
Journal of Biomedical Engineering
2011;28(4):658-662
- CountryChina
- Language:Chinese
-
Abstract:
Membrane protein and its interaction network have become a novel research direction in bioinformatics. In this paper, a novel membrane protein interaction network simulator is proposed for system biology studies by integrated intelligence method including spectrum analysis, fuzzy K-Nearest Neighbor(KNN) algorithm and so on. We consider biological system as a set of active computational components interacting with each other and with the external environment. Then we can use the network simulator to construct membrane protein interaction networks. Based on the proposed approach, we found that the membrane protein interaction network almost has some dynamic and collective characteristics, such as small-world network, scale free distributing, and hierarchical module structure. These properties are similar to those of other extensively studied protein interaction networks. The present studies on the characteristics of the membrane protein interaction network will be valuable for its relatively biological and medical studies.
