ArticlePloS one2013
Identifying correlations between chromosomal proximity of genes and distance of their products in protein-protein interaction networks of yeast.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed, 17 citations in OpenAlex.
- Schizosaccharomyces versatilis represents a distinct evolutionary lineage of fission yeast.Yeast (Chichester, England) · 2024Article
- Evaluating homophily in networks via HONTO (HOmophily Network TOol): a case study of chromosomal interactions in human PPI networks.Bioinformatics (Oxford, England) · 2023Article
- A Boolean approach for novel hypoxia-related gene discovery.PloS one · 2022Article
- Chromatin-dependent regulation of secondary metabolite biosynthesis in fungi: is the picture complete?FEMS microbiology reviews · 2019Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this article we present evidence for a relationship between chromosome gene loci and the topological properties of the protein-protein interaction network corresponding to the set of genes under consideration. Specifically, for each chromosome of the Saccharomyces cerevisiae genome, the distribution of the intra-chromosome inter-gene distances was analyzed and a positive correlation with the distance among the corresponding proteins of the protein-protein interaction network was found. In order to study this relationship we used concepts based on non-parametric statistics and information theory. We provide statistical evidence that if two genes are closely located, then it is likely that their protein products are closely located in the protein-protein interaction network, or in other words, that they are involved in the same biological process.
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Registered trials
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