ArticleNature structural & molecular biology2023
Towards a structurally resolved human protein interaction network.
Article in Nature structural & molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 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
151 citing papers in PubMed.
- Article
- Avl9 defines a family of DENN domain GTPase-activating proteins.The Journal of cell biology · 2026Article
- Quantitative interactome mapping of skeletal muscle insulin resistance.Molecular systems biology · 2026Article
- The predicted interactome of the human mitochondrial proteome.Nature communications · 2026Article
- Proteomic investigation of signaling dynamics: from static maps to network rewiring.Bioscience reports · 2026Review
- Unraveling competitive protein interactions: A critical step toward improved production and therapeutics.Journal of advanced research · 2026Review
- Variant characterization in the intrinsically disordered human proteome.Nature structural & molecular biology · 2026Article
- Interpreting the effects of DNA polymerase variants at the structural level.Molecular oncology · 2026Article
- Systematic Targeting of Protein Complexes with Molecular COUPLrs.Cancer discovery · 2026Article
- DirectContacts2: a wiring diagram of human physical protein interactions.Nature communications · 2026Article
- FAIMS-GPF XL-MS: crosslinking-mass spectrometry based on gas-phase fractionation.Nature communications · 2026Article
- What will be the future of computational biology for macromolecules in the era of AI?PLoS computational biology · 2026Article
- The role of the WD40-repeat protein family in cancer.Molecular cancer · 2026Review
- Scaling covalent ligand discovery through dynamic combinatorial library-versus-proteome screening.Nature communications · 2026Article
- Deciphering photosynthetic protein networks: a crosslinking-MS strategy for studying functional thylakoid membranes.The Plant journal : for cell and molecular biology · 2026Article
- FlyPredictome: A structural atlas of predicted protein-protein interactions inbioRxiv : the preprint server for biology · 2026Article
- MAVISp: A modular structure-based framework for protein variant effects.Protein science : a publication of the Protein Society · 2026Article
- Alphafuser: a parsimonious approach to predicting higher-order protein complexes.Acta crystallographica. Section D, Structural biology · 2026Article
- Translation efficiency covariation identifies conserved coordination patterns across cell types.Nature biotechnology · 2026Article
- PPIscreenML is a method for structure-based screening of protein-protein interactions using AlphaFold.eLife · 2026Article
91 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
16 authors.
Funding
Abstract
Cellular functions are governed by molecular machines that assemble through protein-protein interactions. Their atomic details are critical to studying their molecular mechanisms. However, fewer than 5% of hundreds of thousands of human protein interactions have been structurally characterized. Here we test the potential and limitations of recent progress in deep-learning methods using AlphaFold2 to predict structures for 65,484 human protein interactions. We show that experiments can orthogonally confirm higher-confidence models. We identify 3,137 high-confidence models, of which 1,371 have no homology to a known structure. We identify interface residues harboring disease mutations, suggesting potential mechanisms for pathogenic variants. Groups of interface phosphorylation sites show patterns of co-regulation across conditions, suggestive of coordinated tuning of multiple protein interactions as signaling responses. Finally, we provide examples of how the predicted binary complexes can be used to build larger assemblies helping to expand our understanding of human cell biology.
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.