ReviewTrends in biochemical sciences2017
Proteome-Scale Human Interactomics.
Review in Trends in biochemical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 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
74 citing papers in PubMed, 157 citations in OpenAlex.
- Article
- Network resilience of the human interactome to pan-cancer mutations reveals conserved pathway vulnerabilities.iScience · 2026Article
- Graph designs for deep learning-based multi-omics integration.Briefings in bioinformatics · 2026Review
- The complexome contextualizes proteomics data to fingerprint biological states and highlight perturbed functional modules in disease.NPJ systems biology and applications · 2026Article
- Experimental assessment of AI-based interactome mapping.Nature communications · 2026Article
- Predicting Protein-Protein Interactions from Machine-Learned Representations.Advances in experimental medicine and biology · 2026Review
- Mapping Dysfunctional Protein-Protein Interactions in Disease.Journal of visualized experiments : JoVE · 2025Article
- Hub Occupancy by Competitively Interacting Proteins Obeys a Simple Queuing Law.The journal of physical chemistry. B · 2025Article
- Cancer histone mutations impact protein binding and DNA repair with possible links to genomic instability.Nucleic acids research · 2025Article
- A global genetic interaction map of a human cell reveals conserved principles of genetic networks.bioRxiv : the preprint server for biology · 2025Article
- Exploiting the chikungunya virus capsid protein: a focused target for antiviral therapeutic development.Archives of virology · 2025Review
- Anticancer Monotherapy and Polytherapy Drug Response Prediction Using Deep Learning: Guidelines and Best Practices.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Gene expression networks regulated by human personality.Molecular psychiatry · 2024Review
- A deep learning framework for predicting disease-gene associations with functional modules and graph augmentation.BMC bioinformatics · 2024Article
- Exploring Viral-Host Protein Interactions as Antiviral Therapies: A Computational Perspective.Microorganisms · 2024Review
- Antiviral Protein-Protein Interaction Inhibitors.Journal of medicinal chemistry · 2024Review
- Proteome-wide assessment of human interactome as a source of capturing domain-motif and domain-domain interactions.Journal of cell communication and signaling · 2024Article
- Newfound Coding Potential of Transcripts Unveils Missing Members of Human Protein Communities.Genomics, proteomics & bioinformatics · 2023Article
- A positive statistical benchmark to assess network agreement.Nature communications · 2023Article
- The Knowns and Unknowns in Protein-Metabolite Interactions.International journal of molecular sciences · 2023Review
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Cellular functions are mediated by complex interactome networks of physical, biochemical, and functional interactions between DNA sequences, RNA molecules, proteins, lipids, and small metabolites. A thorough understanding of cellular organization requires accurate and relatively complete models of interactome networks at proteome scale. The recent publication of four human protein-protein interaction (PPI) maps represents a technological breakthrough and an unprecedented resource for the scientific community, heralding a new era of proteome-scale human interactomics. Our knowledge gained from these and complementary studies provides fresh insights into the opportunities and challenges when analyzing systematically generated interactome data, defines a clear roadmap towards the generation of a first reference interactome, and reveals new perspectives on the organization of cellular life.
Indexed as
Identifiers
What OpenQuestion holds
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.