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PathPPI: an integrated dataset of human pathways and protein-protein interactions

Authors :
Hongwei Xie
Fan Zhong
Wei Liu
Fuchu He
Hailin Tang
Source :
Science China Life Sciences. 58(6):579-589
Publisher :
Springer Nature

Abstract

Integration of pathway and protein-protein interaction (PPI) data can provide more information that could lead to new biological insights. PPIs are usually represented by a simple binary model, whereas pathways are represented by more complicated models. We developed a series of rules for transforming protein interactions from pathway to binary model, and the protein interactions from seven pathway databases, including PID, BioCarta, Reactome, NetPath, INOH, SPIKE and KEGG, were transformed based on these rules. These pathway-derived binary protein interactions were integrated with PPIs from other five PPI databases including HPRD, IntAct, BioGRID, MINT and DIP, to develop integrated dataset (named PathPPI). More detailed interaction type and modification information on protein interactions can be preserved in PathPPI than other existing datasets. Comparison analysis results indicate that most of the interaction overlaps values (O AB) among these pathway databases were less than 5%, and these databases must be used conjunctively. The PathPPI data was provided at http://proteomeview.hupo.org.cn/PathPPI/PathPPI.html.

Details

Language :
English
ISSN :
16747305
Volume :
58
Issue :
6
Database :
OpenAIRE
Journal :
Science China Life Sciences
Accession number :
edsair.doi.dedup.....47a2841ccc1a4811c29e8db8fbcac97e
Full Text :
https://doi.org/10.1007/s11427-014-4766-3