Title
Comppi: A Cellular Compartment-Specific Database For Protein-Protein Interaction Network Analysis
Abstract
Here we present ComPPI, a cellular compartment-specific database of proteins and their interactions enabling an extensive, compartmentalized protein-protein interaction network analysis (URL: http://ComPPI.LinkGroup.hu). ComPPI enables the user to filter biologically unlikely interactions, where the two interacting proteins have no common subcellular localizations and to predict novel properties, such as compartment-specific biological functions. ComPPI is an integrated database covering four species (S. cerevisiae, C. elegans, D. melanogaster and H. sapiens). The compilation of nine protein-protein interaction and eight subcellular localization data sets had four curation steps including a manually built, comprehensive hierarchical structure of >1600 subcellular localizations. ComPPI provides confidence scores for protein subcellular localizations and protein-protein interactions. ComPPI has user-friendly search options for individual proteins giving their subcellular localization, their interactions and the likelihood of their interactions considering the subcellular localization of their interacting partners. Download options of search results, whole-proteomes, organelle-specific interactomes and subcellular localization data are available on its website. Due to its novel features, ComPPI is useful for the analysis of experimental results in biochemistry and molecular biology, as well as for proteome-wide studies in bioinformatics and network science helping cellular biology, medicine and drug design.
Year
DOI
Venue
2015
10.1093/nar/gku1007
NUCLEIC ACIDS RESEARCH
Field
DocType
Volume
Network science,Protein–protein interaction prediction,Protein protein interaction network,Biology,Melanogaster,Interaction network,Proteome,Cellular compartment,Database,Subcellular localization
Journal
43
Issue
ISSN
Citations 
D1
0305-1048
12
PageRank 
References 
Authors
0.72
23
7
Name
Order
Citations
PageRank
Daniel V. Veres1120.72
Dávid M. Gyurkó2120.72
Benedek Thaler3120.72
Kristof Z. Szalay4120.72
Dávid Fazekas5492.37
Tamás Korcsmáros61437.78
Péter Csermely726717.35