ArticleNature communications2019
Estimating dispensable content in the human interactome.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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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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
11 citing papers in PubMed, 16 citations in OpenAlex.
- Recurrent innovation of protein-protein interactions in the Drosophila piRNA pathway.The EMBO journal · 2026Article
- The Constructive Neutral Evolution of Behaviour.Ecology and evolution · 2025Article
- A quantitative comparison of the deleteriousness of missense and nonsense mutations using the structurally resolved human protein interactome.Protein science : a publication of the Protein Society · 2025Article
- Structure-based prediction of protein-protein interaction network in rice.Genetics and molecular biology · 2024Article
- Are transient protein-protein interactions more dispensable?PLoS computational biology · 2022Article
- In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers.World journal of surgical oncology · 2021Article
- DIGGER: exploring the functional role of alternative splicing in protein interactions.Nucleic acids research · 2021Article
- Mutation Edgotype Drives Fitness Effect in Human.Frontiers in bioinformatics · 2021Article
- Article
- Precision medicine - networks to the rescue.Current opinion in biotechnology · 2020Review
- Construction, comparison and evolution of networks in life sciences and other disciplines.Journal of the Royal Society, Interface · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interaction (PPI) networks (interactome networks) have successfully advanced our knowledge of molecular function, disease and evolution. While much progress has been made in quantifying errors and biases in experimental PPI datasets, it remains unknown what fraction of the error-free PPIs in the cell are completely dispensable, i.e., effectively neutral upon disruption. Here, we estimate dispensable content in the human interactome by calculating the fractions of PPIs disrupted by neutral and non-neutral mutations. Starting with the human reference interactome determined by experiments, we construct a human structural interactome by building homology-based three-dimensional structural models for PPIs. Next, we map common mutations from healthy individuals as well as Mendelian disease-causing mutations onto the human structural interactome, and perform structure-based calculations of how these mutations perturb the interactome. Using our predicted as well as experimentally-determined interactome perturbation patterns by common and disease mutations, we estimate that <~20% of the human interactome is completely dispensable.
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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.