ArticleNature biotechnology2014
The binary protein-protein interaction landscape of Escherichia coli.
Article in Nature biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 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
127 citing papers in PubMed, 251 citations in OpenAlex.
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- Dual-channel graph learning reveals similarity and complementarity in protein-protein interaction networks.PLoS computational biology · 2026Article
- High-accuracy protein complex structure modeling based on sequence-derived structure complementarity.Nature communications · 2025Article
- Protein-Protein Interactions as Promising Molecular Targets for Novel Antimicrobials Aimed at Gram-Negative Bacteria.International journal of molecular sciences · 2025Review
- Predicting protein-protein interactions in the human proteome.Science (New York, N.Y.) · 2025Article
- Decoding ATXN2 Phosphocode: Structural Insights and Therapeutic Opportunities in Disease.The protein journal · 2025Review
- MESM: integrating multi-source data for high-accuracy protein-protein interactions prediction through multimodal language models.BMC biology · 2025Article
- Recent progress and future challenges in structure-based protein-protein interaction prediction.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- Direct Quantification of Protein-Protein Interactions in Living Bacterial Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
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- Challenging a decades-old paradigm: ProB and ProA do not channel the unstable intermediate in proline synthesis after all.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Protein interactions in human pathogens revealed through deep learning.Nature microbiology · 2024Article
- Pairing interacting protein sequences using masked language modeling.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- ZEPPI: Proteome-scale sequence-based evaluation of protein-protein interaction models.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Exploring Viral-Host Protein Interactions as Antiviral Therapies: A Computational Perspective.Microorganisms · 2024Review
- Enhancing coevolutionary signals in protein-protein interaction prediction through clade-wise alignment integration.Scientific reports · 2024Article
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- A journey into the regulatory secrets of theFrontiers in pharmacology · 2024Review
- The protein interactome of the citrus Huanglongbing pathogen Candidatus Liberibacter asiaticus.Nature communications · 2023Article
67 more citing papers are in PubMed but not listed here.
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Authors and funding
18 authors at 8 institutions in 4 countries.
Funding
Abstract
Efforts to map the Escherichia coli interactome have identified several hundred macromolecular complexes, but direct binary protein-protein interactions (PPIs) have not been surveyed on a large scale. Here we performed yeast two-hybrid screens of 3,305 baits against 3,606 preys (∼70% of the E. coli proteome) in duplicate to generate a map of 2,234 interactions, which approximately doubles the number of known binary PPIs in E. coli. Integration of binary PPI and genetic-interaction data revealed functional dependencies among components involved in cellular processes, including envelope integrity, flagellum assembly and protein quality control. Many of the binary interactions that we could map in multiprotein complexes were informative regarding internal topology of complexes and indicated that interactions in complexes are substantially more conserved than those interactions connecting different complexes. This resource will be useful for inferring bacterial gene function and provides a draft reference of the basic physical wiring network of this evolutionarily important model microbe.
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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.