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PathPPI: an integrated dataset of human pathways and protein-protein interactions
- 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.
- Subjects :
- Proteomics
Proteomics methods
Binary Independence Model
Agricultural and Biological Sciences(all)
Biochemistry, Genetics and Molecular Biology(all)
Computational Biology
Proteins
Reproducibility of Results
Computational biology
Biology
Models, Theoretical
Bioinformatics
General Biochemistry, Genetics and Molecular Biology
Protein–protein interaction
Environmental Science(all)
Proteins metabolism
Protein Interaction Mapping
Humans
Interaction type
KEGG
General Agricultural and Biological Sciences
Databases, Protein
Algorithms
General Environmental Science
Subjects
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