ArticlePLoS computational biology2006
Protein-protein interactions more conserved within species than across species.
Article in PLoS computational biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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Who cites it
61 citing papers in PubMed, 148 citations in OpenAlex.
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- ToxoNet: A high confidence map of protein-protein interactions in Toxoplasma gondii.PLoS computational biology · 2024Article
- Physical-Chemical Features Selection Reveals That Differences in Dipeptide Compositions Correlate Most with Protein-Protein Interactions.bioRxiv : the preprint server for biology · 2024Article
- Contribution of animal models to the mechanistic understanding of Alternative Pathway and Amplification Loop (AP/AL)-driven Complement-mediated Diseases.Immunological reviews · 2023Review
- Embeddings from deep learning transfer GO annotations beyond homology.Scientific reports · 2021Article
- The ortholog conjecture revisited: the value of orthologs and paralogs in function prediction.Bioinformatics (Oxford, England) · 2020Article
- Systematic Multi-Omics Integration (MOI) Approach in Plant Systems Biology.Frontiers in plant science · 2020Review
- Prediction of GCRV virus-host protein interactome based on structural motif-domain interactions.BMC bioinformatics · 2017Article
- Exploring the interactions of the RAS family in the human protein network and their potential implications in RAS-directed therapies.Oncotarget · 2016Article
- Predicting Protein-Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids.International journal of molecular sciences · 2016Article
- Structural Perspectives on the Evolutionary Expansion of Unique Protein-Protein Binding Sites.Biophysical journal · 2015Article
- The emergence of proteome-wide technologies: systematic analysis of proteins comes of age.Nature reviews. Molecular cell biology · 2014Review
- Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches.Cellular and molecular life sciences : CMLS · 2014Review
- Computational large-scale mapping of protein-protein interactions using structural complexes.Current protocols in protein science · 2013Article
- SH3 interactome conserves general function over specific form.Molecular systems biology · 2013Article
- In-silico analysis of caspase-3 and -7 proteases from blood-parasitic Schistosoma species (Trematoda) and their human host.Bioinformation · 2013Article
- Complementing the Eukaryotic Protein Interactome.PloS one · 2013Article
- The evolutionary dynamics of protein-protein interaction networks inferred from the reconstruction of ancient networks.PloS one · 2013Article
1 more citing papers are in PubMed but not listed here.
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2 authors at 2 institutions in 2 countries.
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Abstract
Experimental high-throughput studies of protein-protein interactions are beginning to provide enough data for comprehensive computational studies. Today, about ten large data sets, each with thousands of interacting pairs, coarsely sample the interactions in fly, human, worm, and yeast. Another about 55,000 pairs of interacting proteins have been identified by more careful, detailed biochemical experiments. Most interactions are experimentally observed in prokaryotes and simple eukaryotes; very few interactions are observed in higher eukaryotes such as mammals. It is commonly assumed that pathways in mammals can be inferred through homology to model organisms, e.g. the experimental observation that two yeast proteins interact is transferred to infer that the two corresponding proteins in human also interact. Two pairs for which the interaction is conserved are often described as interologs. The goal of this investigation was a large-scale comprehensive analysis of such inferences, i.e. of the evolutionary conservation of interologs. Here, we introduced a novel score for measuring the overlap between protein-protein interaction data sets. This measure appeared to reflect the overall quality of the data and was the basis for our two surprising results from our large-scale analysis. Firstly, homology-based inferences of physical protein-protein interactions appeared far less successful than expected. In fact, such inferences were accurate only for extremely high levels of sequence similarity. Secondly, and most surprisingly, the identification of interacting partners through sequence similarity was significantly more reliable for protein pairs within the same organism than for pairs between species. Our analysis underlined that the discrepancies between different datasets are large, even when using the same type of experiment on the same organism. This reality considerably constrains the power of homology-based transfer of interactions. In particular, the experimental probing of interactions in distant model organisms has to be undertaken with some caution. More comprehensive images of protein-protein networks will require the combination of many high-throughput methods, including in silico inferences and predictions. http://www.rostlab.org/results/2006/ppi_homology/
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