ArticleFrontiers in genetics2024
Number of human protein interactions correlates with structural, but not regulatory conservation of the respective genes.
Article in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- From Codons to Protein Structure: Evolutionary Constraints of Mitochondrial Proteins in Corvides.Biology · 2026Article
- Predictors of Protein Evolution in the drosophilid Immune System.Genome biology and evolution · 2026Article
- Neurotransmission Sex Dichotomy in the Rat Hypothalamic Paraventricular Nucleus in Healthy and Infantile Spasm Model.Current issues in molecular biology · 2025Article
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Authors and funding
11 authors.
Funding
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Abstract
Introduction: The differential ratio of nonsynonymous to synonymous nucleotide substitutions (dN/dS) is a common measure of the rate of structural evolution in proteincoding genes. In addition, we recently suggested that the proportion of transposable elements in gene promoters that host functional genomic sites serves as a marker of the rate of regulatory evolution of genes. Such functional genomic regions may include transcription factor binding sites and modified histone binding loci. Methods: Here, we constructed a model of the human interactome based on 600,136 documented molecular interactions and investigated the overall relationship between the number of interactions of each protein and the rate of structural and regulatory evolution of the corresponding genes. Results: By evaluating a total of 4,505 human genes and 1,936 molecular pathways we found a general correlation between structural and regulatory evolution rate metrics (Spearman 0.08-0.16 and 0.25-0.37 for gene and pathway levels, respectively, Discussion: Our result suggests stronger structural rather than regulatory conservation of genes whose protein products have multiple interaction partners.
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