ArticlePLoS computational biology2010
Revisiting date and party hubs: novel approaches to role assignment in protein interaction networks.
Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed.
- Protein Stability, Turnover Kinetics, and Abundance Constrain the Scaling of Protein Interaction Networks.bioRxiv : the preprint server for biology · 2026Article
- Emergence of power law distributions in protein-protein interaction networks through study bias.eLife · 2024Article
- Thrombosis-related circulating miR-16-5p is associated with disease severity in patients hospitalised for COVID-19.RNA biology · 2022Article
- Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2022Review
- Article
- Association study based on topological constraints of protein-protein interaction networks.Scientific reports · 2020Article
- Article
- Gene co-expression network analysis identifies trait-related modules in Arabidopsis thaliana.Planta · 2019Article
- SpoVID functions as a non-competitive hub that connects the modules for assembly of the inner and outer spore coat layers in Bacillus subtilis.Molecular microbiology · 2018Article
- Integrating Structural Information to Study the Dynamics of Protein-Protein Interactions in Cells.Structure (London, England : 1993) · 2018Article
- Putative human sperm Interactome: a networks study.BMC systems biology · 2018Article
- Hub Protein Controversy: Taking a Closer Look at Plant Stress Response Hubs.Frontiers in plant science · 2018Review
- Functional Analysis of Human Hub Proteins and Their Interactors Involved in the Intrinsic Disorder-Enriched Interactions.International journal of molecular sciences · 2017Article
- Predicted networks of protein-protein interactions in Stegodyphus mimosarum by cross-species comparisons.BMC genomics · 2017Article
- System pharmacogenomics application in infectious diseases.Briefings in functional genomics · 2017Review
- SWIM: a computational tool to unveiling crucial nodes in complex biological networks.Scientific reports · 2017Article
- Identifying prognostic biomarkers based on aberrant DNA methylation in kidney renal clear cell carcinoma.Oncotarget · 2017Article
- Evaluation of liver cirrhosis and hepatocellular carcinoma using Protein-Protein Interaction Networks.Gastroenterology and hepatology from bed to bench · 2016Article
- Bipartite Community Structure of eQTLs.PLoS computational biology · 2016Article
- Complexity and Specificity of the Neutrophil Transcriptomes in Juvenile Idiopathic Arthritis.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.