ArticleComparative and functional genomics2004
A critical and integrated view of the yeast interactome.
Article in Comparative and functional genomics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed.
- Saccharomyces cerevisiae as a model for mammalian diseases.FEMS yeast research · 2026Review
- Benchmarking yeast two-hybrid systems using the interactions of bacterial motility proteins.Proteomics · 2009Article
- A predicted interactome for Arabidopsis.Plant physiology · 2007Article
- All duplicates are not equal: the difference between small-scale and genome duplication.Genome biology · 2007Article
- The elusive yeast interactome.Genome biology · 2006Review
- Yeast Protein Interactome topology provides framework for coordinated-functionality.Nucleic acids research · 2006Article
- Effect of dataset selection on the topological interpretation of protein interaction networks.BMC genomics · 2005Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Global studies of protein-protein interactions are crucial to both elucidating gene function and producing an integrated view of the workings of living cells. High-throughput studies of the yeast interactome have been performed using both genetic and biochemical screens. Despite their size, the overlap between these experimental datasets is very limited. This could be due to each approach sampling only a small fraction of the total interactome. Alternatively, a large proportion of the data from these screens may represent false-positive interactions. We have used the Genome Information Management System (GIMS) to integrate interactome datasets with transcriptome and protein annotation data and have found significant evidence that the proportion of false-positive results is high. Not all high-throughput datasets are similarly contaminated, and the tandem affinity purification (TAP) approach appears to yield a high proportion of reliable interactions for which corroborating evidence is available. From our integrative analyses, we have generated a set of verified interactome data for yeast.
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.