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Searching Similar Modules in Protein Interaction Netwo

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2 Author(s)
Oka, H. ; Grad School of Frontier Sciences, Univ of Tokyo ; Arita, M.

We developed a new method to search protein networks functionally similar to a given query signal transduction pathway within protein interaction networks. This method consists of two parts: 1) a backtracking search algorithm to find topologically identical subgraphs and 2) a measurement of similarity between proteins by using Gene Ontology [1]. For validation of our method, we implemented a software tool and compared its performance with that of PathBLAST [2] on the search of MAPK signal transduction cascades [3]. The result showed that our software tool has equal or better performance than that of PathBLAST.

Published in:

Data Engineering Workshops, 2005. 21st International Conference on

Date of Conference:

05-08 April 2005