ArticlePatterns (New York, N.Y.)2021
Contextualized Protein-Protein Interactions.
Article in Patterns (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Strategies for constructing context-specific protein-protein interaction networks.Briefings in bioinformatics · 2026Review
- Ben_0691 functions as an IRG-47 mycoplasma stimulator that mediates host cell resistance to Mycoplasma mycoides subsp. mycoides infection.Communications biology · 2025Article
- CoPPIs algorithm: a tool to unravel protein cooperative strategies in pathophysiological conditions.Briefings in bioinformatics · 2025Article
- NetREm: Network Regression Embeddings reveal cell-type transcription factor coordination for gene regulation.Bioinformatics advances · 2025Article
- Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation.Nucleic acids research · 2024Article
- Contextual AI models for single-cell protein biology.Nature methods · 2024Article
- Contextual AI models for single-cell protein biology.bioRxiv : the preprint server for biology · 2024Article
- Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation.bioRxiv : the preprint server for biology · 2024Article
- SPIDER: constructing cell-type-specific protein-protein interaction networks.Bioinformatics advances · 2024Article
- Jagged1 intracellular domain/SMAD3 complex transcriptionally regulates TWIST1 to drive glioma invasion.Cell death & disease · 2023Article
- A positive statistical benchmark to assess network agreement.Nature communications · 2023Article
- Structure learning for gene regulatory networks.PLoS computational biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Protein-protein interaction (PPI) databases are an important bioinformatics resource, yet existing literature-curated databases usually represent cell-type-agnostic interactions, which is at variance with our understanding that protein dynamics are context specific and highly dependent on their environment. Here, we provide a resource derived through data mining to infer disease- and tissue-relevant interactions by annotating existing PPI databases with cell-contextual information extracted from reporting studies. This resource is applicable to the reconstruction and analysis of disease-centric molecular interaction networks. We have made the data and method publicly available and plan to release scheduled updates in the future. We expect these resources to be of interest to a wide audience of researchers in the life sciences.
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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.