Title :
Mining Protein Pathway from Proteomic Data
Author :
Liu, Hongbiao ; Liu, Juan
Author_Institution :
Sch. of Comput., Wuhan Univ., Wuhan
Abstract :
Finding protein pathways in protein interaction network is a computationally intricate and tough work. In this paper we approach this problem with double direction enumeration method combined with the distance constraints, which greatly increases the speed of the algorithm. The application of the method on the known yeast MAPK pathways verifies our algorithm. Paths with length 8 can be found in 5 minutes by our algorithm and other shorter paths less than 1 minute. Comparison with other methods highlights the efficiency of our work.
Keywords :
biology computing; proteins; distance constraints; double direction enumeration method; mining protein pathway; protein interaction network; proteomic data; time 5 min; yeast MAPK pathways; Algorithm design and analysis; Application software; Clustering algorithms; Color; Computer networks; Fungi; Gene expression; Proteins; Proteomics; Signal detection;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
DOI :
10.1109/ICBBE.2007.90