ArticleBriefings in bioinformatics2023
Structural coverage of the human interactome.
Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Reimagining computational macromolecular modeling: AI-driven approaches.Biophysical journal · 2026Review
- Repurposing AI for protein interactions and dynamics: opportunities, limitations, and lessons.Frontiers in bioinformatics · 2026Review
- Assessing the relation between protein phosphorylation, AlphaFold3 models, and conformational variability.Protein science : a publication of the Protein Society · 2026Article
- Oxidative stress-driven transcriptomic remodeling in human astrocytes reveals network signatures associated with neurodegenerative and cardiovascular processes.Computational and structural biotechnology journal · 2026Article
- AlphaFold-Guided Discovery of an Overlapping MYC/Miz-1 Interface Enables Peptidomimetic Disruption of MYC/MAX.ChemMedChem · 2025Article
- The Constrained Disorder Principle: A Paradigm Shift for Accurate Interactome Mapping and Information Analysis in Complex Biological Systems.Bioengineering (Basel, Switzerland) · 2025Review
- NetREm: Network Regression Embeddings reveal cell-type transcription factor coordination for gene regulation.Bioinformatics advances · 2025Article
- Article
- Discovery of a Novel Chemo-Type for TAAR1 Agonism via Molecular Modeling.Molecules (Basel, Switzerland) · 2024Article
- Special Issue "Deployment of Proteomics Approaches in Biomedical Research".International journal of molecular sciences · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Complex biological processes in cells are embedded in the interactome, representing the complete set of protein-protein interactions. Mapping and analyzing the protein structures are essential to fully comprehending these processes' molecular details. Therefore, knowing the structural coverage of the interactome is important to show the current limitations. Structural modeling of protein-protein interactions requires accurate protein structures. In this study, we mapped all experimental structures to the reference human proteome. Later, we found the enrichment in structural coverage when complementary methods such as homology modeling and deep learning (AlphaFold) were included. We then collected the interactions from the literature and databases to form the reference human interactome, resulting in 117 897 non-redundant interactions. When we analyzed the structural coverage of the interactome, we found that the number of experimentally determined protein complex structures is scarce, corresponding to 3.95% of all binary interactions. We also analyzed known and modeled structures to potentially construct the structural interactome with a docking method. Our analysis showed that 12.97% of the interactions from HuRI and 73.62% and 32.94% from the filtered versions of STRING and HIPPIE could potentially be modeled with high structural coverage or accuracy, respectively. Overall, this paper provides an overview of the current state of structural coverage of the human proteome and interactome.
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