Annotating Pathways of Interaction Networks

Jayesh Pandey, Mehmet Koyutürk†, Wojciech Szpankowski and Ananth Grama


Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
E-mail: jpandey@cs.purdue.edu


Pac Symp Biocomput. 2008;:153-165.


Abstract

Integrating molecular interaction data with existing knowledge of molecular function reveals mechanisms that underly cellular organization. We present NARADA, a software tool that implements a comprehensive analysis suite for functional annotation of pathways. NARADA takes as input a species-specific molecular interaction network and annotation of biomolecules in the network and provides the user with a set of pathways composed of functional attributes, which may be thought of pathway templates in the functional annotation space that recur in various contexts (different groups of specific molecules with similar functional annotation patterns) in the molecular interaction network. NARADA has its underpinnings in formal statistical measures of significance, and algorithmic bases for performance. Comprehensive evaluation on the E. coli transcriptional regulation and proteinprotein interaction data demonstrate NARADA’s ability to detect known, as well as novel pathways.


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