ReviewCurrent opinion in structural biology2024
Introducing dysfunctional Protein-Protein Interactome (dfPPI) - A platform for systems-level protein-protein interaction (PPI) dysfunction investigation in disease.
Review in Current opinion in structural biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
10 citing papers in PubMed.
- Mapping of the hSOX10 Proximal Protein Interactome in Human Melanoma.Journal of proteome research · 2026Article
- Investigating Escherichia coli Colicin E9 immunity protein interactions with DNA gyrase of Pseudomonas aeruginosa: advanced computational approach for developing novel antimicrobial strategies.Scientific reports · 2026Article
- Mapping Dysfunctional Protein-Protein Interactions in Disease.Journal of visualized experiments : JoVE · 2025Article
- PTMs as molecular encoders: reprogramming chaperones into epichaperomes for network control in disease.Trends in biochemical sciences · 2025Review
- [EJNMMI radiopharmacy and chemistry · 2025Article
- Mapping of the hSOX10 protein interactome in human melanoma.bioRxiv : the preprint server for biology · 2025Article
- In vivo imaging of heat shock protein 90: Diagnostic tool and support for Hsp90-targeted therapy.Cell stress & chaperones · 2025Review
- Systems-Level Interactome Mapping Reveals Actionable Protein Network Dysregulation Across the Alzheimer's Disease Spectrum.Research square · 2025Article
- Case Report:Frontiers in pediatrics · 2025Article
- PU-H71 (NSC 750424): a molecular masterpiece that targets HSP90 in cancer and beyond.Frontiers in pharmacology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Protein-protein interactions (PPIs) play a crucial role in cellular function and disease manifestation, with dysfunctions in PPI networks providing a direct link between stressors and phenotype. The dysfunctional Protein-Protein Interactome (dfPPI) platform, formerly known as epichaperomics, is a newly developed chemoproteomic method aimed at detecting dynamic changes at the systems level in PPI networks under stressor-induced cellular perturbations within disease states. This review provides an overview of dfPPIs, emphasizing the novel methodology, data analytics, and applications in disease research. dfPPI has applications in cancer research, where it identifies dysfunctions integral to maintaining malignant phenotypes and discovers strategies to enhance the efficacy of current therapies. In neurodegenerative disorders, dfPPI uncovers critical dysfunctions in cellular processes and stressor-specific vulnerabilities. Challenges, including data complexity and the potential for integration with other omics datasets are discussed. The dfPPI platform is a potent tool for dissecting disease systems biology by directly informing on dysfunctions in PPI networks and holds promise for advancing disease identification and therapeutics.
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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.