Title
Exploring Symmetric Substructures in Protein Interaction Networks for Pairwise Alignment.
Abstract
In molecular biology, comparison of multiple Protein Protein Interaction (PPI) networks to extract subnetworks that are conserved during evolution across different species is helpful for studying complex cellular machinery. Most efforts produce promising results in creating alignments that show large regions of biological or topological similarity between the PPI networks of various species, but few do both. We present a new pairwise aligner SSAlign (Symmetric Substructure Alignment) that extracts maximal substructures from participating PPI networks and uses Gene Ontology Consistency (GOC) as the graph isomorphic function for aligning two subgraphs. We use PPI networks from Isobase data repository for experiments and comparisons. Our results show that in comparison to other contemporary aligners, SSAlign is better at aligning topologically and biologically similar subnetworks.
Year
DOI
Venue
2017
10.1007/978-3-319-56154-7_17
BIOINFORMATICS AND BIOMEDICAL ENGINEERING, IWBBIO 2017, PT II
Keywords
Field
DocType
Protein protein interaction,Alignment,Symmetric substructure,Network topology,Gene Ontology,Orthology,Homology
Computer vision,Pairwise comparison,Graph,Protein Interaction Networks,Protein–protein interaction,Gene ontology,Network topology,Isomorphism,Artificial intelligence,Computational biology,Engineering
Conference
Volume
ISSN
Citations 
10209
0302-9743
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Ahed Elmsallati1141.24
Swarup Roy25612.13
Jugal K. Kalita385662.32