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Title: Global Alignment of Pairwise Protein Interaction Networks for Maximal Common Conserved Patterns

A number of tools for the alignment of protein-protein interaction (PPI) networks have laid the foundation for PPI network analysis. Most of alignment tools focus on finding conserved interaction regions across the PPI networks through either local or global mapping of similar sequences. Researchers are still trying to improve the speed, scalability, and accuracy of network alignment. In view of this, we introduce a connected-components based fast algorithm, HopeMap, for network alignment. Observing that the size of true orthologs across species is small comparing to the total number of proteins in all species, we take a different approach based on a precompiled list of homologs identified by KO terms. Applying this approach to S. cerevisiae (yeast) and D. melanogaster (fly), E. coli K12 and S. typhimurium , E. coli K12 and C. crescenttus , we analyze all clusters identified in the alignment. The results are evaluated through up-to-date known gene annotations, gene ontology (GO), and KEGG ortholog groups (KO). Comparing to existing tools, our approach is fast with linear computational cost, highly accurate in terms of KO and GO terms specificity and sensitivity, and can be extended to multiple alignments easily.
ORCiD logo [1] ;  [2]
  1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  2. Department of Computer and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA, Computer Science Department, North Carolina State University, Raleigh, NC 27696, USA
Publication Date:
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Published Article
Journal Name:
International Journal of Genomics
Additional Journal Information:
Journal Volume: 2013; Related Information: CHORUS Timestamp: 2016-07-30 13:41:49; Journal ID: ISSN 2314-436X
Hindawi Publishing Corporation
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
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