↓ Skip to main content

PLOS

Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks

Overview of attention for article published in PLoS Computational Biology, June 2010
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
1 X user
reddit
1 Redditor
f1000
1 research highlight platform

Readers on

mendeley
237 Mendeley
citeulike
16 CiteULike
Title
Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks
Published in
PLoS Computational Biology, June 2010
DOI 10.1371/journal.pcbi.1000817
Pubmed ID
Authors

Sumeet Agarwal, Charlotte M. Deane, Mason A. Porter, Nick S. Jones

Abstract

The idea of "date" and "party" hubs has been influential in the study of protein-protein interaction networks. Date hubs display low co-expression with their partners, whilst party hubs have high co-expression. It was proposed that party hubs are local coordinators whereas date hubs are global connectors. Here, we show that the reported importance of date hubs to network connectivity can in fact be attributed to a tiny subset of them. Crucially, these few, extremely central, hubs do not display particularly low expression correlation, undermining the idea of a link between this quantity and hub function. The date/party distinction was originally motivated by an approximately bimodal distribution of hub co-expression; we show that this feature is not always robust to methodological changes. Additionally, topological properties of hubs do not in general correlate with co-expression. However, we find significant correlations between interaction centrality and the functional similarity of the interacting proteins. We suggest that thinking in terms of a date/party dichotomy for hubs in protein interaction networks is not meaningful, and it might be more useful to conceive of roles for protein-protein interactions rather than for individual proteins.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 5%
United Kingdom 6 3%
Spain 4 2%
Canada 3 1%
Japan 3 1%
India 2 <1%
Brazil 2 <1%
Germany 2 <1%
Netherlands 2 <1%
Other 8 3%
Unknown 193 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 35%
Researcher 47 20%
Student > Master 20 8%
Student > Bachelor 20 8%
Professor 19 8%
Other 40 17%
Unknown 9 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 113 48%
Biochemistry, Genetics and Molecular Biology 37 16%
Computer Science 28 12%
Physics and Astronomy 7 3%
Medicine and Dentistry 7 3%
Other 28 12%
Unknown 17 7%