Title : 
Predicting protein-protein interactions based on protein-domain relationships
         
        
            Author : 
Wang, Bing ; Huang, De-Shuang ; Chen, Peng ; Zhu, Yunping ; Li, Yixue
         
        
            Author_Institution : 
Hefei Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei, China
         
        
        
        
            fDate : 
31 July-4 Aug. 2005
         
        
        
            Abstract : 
This paper proposes a new method that can predict the interactions between proteins intermediated by the protein-domain relations. We utilize the lazy expectation maximization (LEM) to compute an improved maximization likelihood estimation (MLE) model. The protein-domain relationships are extruded from Flam database and the combined data set of Uetz and Ito are used as the source of protein-protein interactions. Finally, the efficiency and the effectiveness of our proposed approach can be validated by a better performance such as the sensitivity of 80.1%, the specificity of 43.5%, and the lesser computational cost.
         
        
            Keywords : 
biology; expectation-maximisation algorithm; proteins; Flam database; lazy expectation maximization; maximization likelihood estimation model; protein-domain relationship; protein-protein interaction; Automation; Bioinformatics; Biological system modeling; Biology computing; Computational efficiency; Databases; Indium tin oxide; Machine intelligence; Maximum likelihood estimation; Proteins;
         
        
        
        
            Conference_Titel : 
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
         
        
            Print_ISBN : 
0-7803-9048-2
         
        
        
            DOI : 
10.1109/IJCNN.2005.1555849