ArticleComparative and functional genomics2007
Protein interactions from complexes: a structural perspective.
Article in Comparative and functional genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Linear functional organization of the omic embedding space.Bioinformatics (Oxford, England) · 2021Article
- Next-generation Interactomics: Considerations for the Use of Co-elution to Measure Protein Interaction Networks.Molecular & cellular proteomics : MCP · 2020Review
- Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.Bioinformatics (Oxford, England) · 2018Article
- Protein-protein interactions essentials: key concepts to building and analyzing interactome networks.PLoS computational biology · 2010Article
- Revisiting date and party hubs: novel approaches to role assignment in protein interaction networks.PLoS computational biology · 2010Article
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
By combining crystallographic information with protein-interaction data obtained through traditional experimental means, this paper determines the most appropriate method for generating protein-interaction networks that incorporate data derived from protein complexes. We propose that a combined method should be considered; in which complexes composed of five chains or less are decomposed using the matrix model, whereas the spoke model is used to derive pairwise interactions for those with six chains or more. The results presented here should improve the accuracy and relevance of studies investigating the topology of protein-interaction networks.
Identifiers
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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.