KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions.

Abstract:

:KUPS (The University of Kansas Proteomics Service) provides high-quality protein-protein interaction (PPI) data for researchers developing and evaluating computational models for predicting PPIs by allowing users to construct ready-to-use data sets of interacting protein pairs (IPPs), non-interacting protein pairs (NIPs) and associated features. Multiple filters and options allow the user to control the make-up of the IPPs and NIPs as well as the quality of the resultant data sets. Each data set is built from the overall database, which includes 185 446 IPPs and ∼1.5 billion NIPs from five primary databases: IntAct, HPRD, MINT, UniProt and the Gene Ontology. The IPP set can be set to specific model organisms, interaction types and experimental evidence. The NIP set can be generated using four different strategies, which can alleviate biased estimation problems. Lastly, multiple features can be provided for all of the IPP and NIP pairs. Additionally, KUPS provides two benchmark data sets to help researchers compare their algorithms to existing approaches. KUPS is freely available at http://www.ittc.ku.edu/chenlab.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Chen XW,Jeong JC,Dermyer P

doi

10.1093/nar/gkq943

subject

Has Abstract

pub_date

2011-01-01 00:00:00

pages

D750-4

issue

Database issue

eissn

0305-1048

issn

1362-4962

pii

gkq943

journal_volume

39

pub_type

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