Dynamic and collective analysis of membrane protein interaction network based on gene regulatory network model

Authors:
Yong-Sheng Ding;Yi-Zhen Shen;Li-Hong Ren;Li-Jun Cheng
Affiliations:
College of Information Sciences and Technology, Donghua University, Shanghai 201620, PR China and Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education, Do ...;College of Information Sciences and Technology, Donghua University, Shanghai 201620, PR China;College of Information Sciences and Technology, Donghua University, Shanghai 201620, PR China;College of Information Sciences and Technology, Donghua University, Shanghai 201620, PR China
Venue:
Neurocomputing
Year:
2012

Citing 7
Cited 0

Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification

IEEE Transactions on Knowledge and Data Engineering
Asymptotic and robust stability of genetic regulatory networks with time-varying delays

Neurocomputing
Evolutionary stability affected by energy flow in the bio-network architecture

Neurocomputing
An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Mining, modeling, and evaluation of subnetworks from large biomolecular networks and its comparison study

IEEE Transactions on Information Technology in Biomedicine
Mining Bridge and Brick Motifs From Complex Biological Networks for Functionally and Statistically Significant Discovery

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Novel Approach for Mining and Fuzzy Simulation of Subnetworks From Large Biomolecular Networks

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

Membrane protein interactions are vitally important for every process in a living cell. Information about these interactions can improve our understanding of diseases and provide the basis to revolutionize therapeutic treatments. However, current experimental techniques for large-scale detection of protein-protein interactions are biased against membrane proteins, it is necessary to develop novel tools to deal with this kind of bio-network. To realize this, we construct membrane protein interaction network based on gene regulatory network model. Three model forms, basic form, non-dimensionalization form, and more complex form, are proposed to understand the dynamic and collective control of developmental process and the characters of membrane protein interaction network, including small-world network, scale free distributing and robustness, and its significance for biology. Four simulation examples are presented to illustrate the usefulness and flexibility of the GRN model method for the study of membrane protein interaction network. The results show that the proposed approach holds a high potential to become a useful tool in prediction of membrane protein interactions. Moreover, it has biological significance and value for biology and pharmacology.