Name
Abstract | ||
|---|---|---|
The increasing growth of data on protein-protein interaction (PPI) networks has boosted research on their comparative analysis. In particular, recent studies proposed models and algorithms for performing network alignment, the comparison of networks across species for discovering conserved modules. Common approaches for this task construct a merged representation of the considered networks, called alignment graph, and search the alignment graph for conserved networks of interest using greedy techniques. In this paper we propose a modular approach to this task. First, each network to be compared is divided into small subnets which are likely to contain conserved modules. To this aim, we develop an algorithm for dividing PPI networks that combines a graph theoretical property(articulation) with a biological one (orthology). Next, network alignment is performed on pairs of resulting subnets from different species. We tackle this task by means of a state-of-the-art alignment graph model for constructing alignment graphs, and an exact algorithm for searching in the alignment graph. Results of experiments show the ability of this approach to discover accurate conserved modules, and substantiate the importance of the notions of orthology and articulation for performing comparative network analysis in a modular fashion. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-88436-1_17 | PRIB |
Keywords | Field | DocType |
graph theoretical property,dividing protein interaction networks,accurate conserved module,network alignment,orthologous articulations,ppi network,state-of-the-art alignment graph model,conserved network,conserved module,alignment graph,comparative network analysis,common approach,protein protein interaction,network analysis,comparative analysis | Graph,Protein Interaction Networks,Exact algorithm,Division (mathematics),Computer science,Artificial intelligence,Network analysis,Modular design,Bioinformatics,Multiple sequence alignment,Machine learning,Graph model | Conference |
Volume | ISSN | Citations |
5265 | 0302-9743 | 2 |
PageRank | References | Authors |
0.37 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pavol Jancura | 1 | 23 | 2.39 |
| Jaap Heringa | 2 | 380 | 37.88 |
| Elena Marchiori | 3 | 1272 | 164.66 |