ArticleNature communications2019
Maximizing binary interactome mapping with a minimal number of assays.
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 44 papers.
What it found
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Who cites it
44 citing papers in PubMed.
- Detection of Protein-Protein Interactions in Escherichia coli With Single Molecule Sensitivity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- PPIscreenML is a method for structure-based screening of protein-protein interactions using AlphaFold.eLife · 2026Article
- Experimental assessment of AI-based interactome mapping.Nature communications · 2026Article
- A scalable approach to resolving variants of uncertain significance.bioRxiv : the preprint server for biology · 2026Article
- Effector-host interactome map links type III secretion systems in healthy gut microbiomes to immune modulation.Nature microbiology · 2026Article
- Long-read sequencing to detect full-length protein-protein interactions.Scientific reports · 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
- Widespread variation in molecular interactions and regulatory properties among transcription factor isoforms.Molecular cell · 2025Article
- Multimodal SARS-CoV-2 interactome sketches the virus-host spatial organization.Communications biology · 2025Article
- Pooled PPIseq: Screening the SARS-CoV-2 and human interface with a scalable multiplexed protein-protein interaction assay platform.PloS one · 2025Article
- Promiscuous structural cross-compatibilities between major shell components of Klebsiella pneumoniae bacterial microcompartments.PloS one · 2025Article
- A comprehensive two-hybrid analysis to explore themSystems · 2024Article
- Meeting report of the 37th International Conference on Antiviral Research in Gold Coast, Australia, May 20-24, 2024, organized by the International Society for Antiviral Research.Antiviral research · 2024Article
- Profiling Cullin4-E3 Ligases Interactomes and Their Rewiring in Influenza A Virus Infection.Molecular & cellular proteomics : MCP · 2024Article
- Accurate and sensitive interactome profiling using a quantitative protein-fragment complementation assay.Cell reports methods · 2024Article
- AI-guided pipeline for protein-protein interaction drug discovery identifies a SARS-CoV-2 inhibitor.Molecular systems biology · 2024Article
- Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer.bioRxiv : the preprint server for biology · 2024Article
- Systematic discovery of protein interaction interfaces using AlphaFold and experimental validation.Molecular systems biology · 2024Article
- Exploring type I interferon pathway: virulent vs. attenuated strain of African swine fever virus revealing a novel function carried by MGF505-4R.Frontiers in immunology · 2024Article
- The protein interactome of the citrus Huanglongbing pathogen Candidatus Liberibacter asiaticus.Nature communications · 2023Article
Corrections and comments
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Authors and funding
26 authors.
Funding
Abstract
Complementary assays are required to comprehensively map complex biological entities such as genomes, proteomes and interactome networks. However, how various assays can be optimally combined to approach completeness while maintaining high precision often remains unclear. Here, we propose a framework for binary protein-protein interaction (PPI) mapping based on optimally combining assays and/or assay versions to maximize detection of true positive interactions, while avoiding detection of random protein pairs. We have engineered a novel NanoLuc two-hybrid (N2H) system that integrates 12 different versions, differing by protein expression systems and tagging configurations. The resulting union of N2H versions recovers as many PPIs as 10 distinct assays combined. Thus, to further improve PPI mapping, developing alternative versions of existing assays might be as productive as designing completely new assays. Our findings should be applicable to systematic mapping of other biological landscapes.
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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.