ArticleCommunications biology2025
Multimodal SARS-CoV-2 interactome sketches the virus-host spatial organization.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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Who cites it
6 citing papers in PubMed.
- Deciphering Membrane Protein Complexes in Plasmodium falciparum Gametocytes via Integrative Structural Systems Biology.Molecular & cellular proteomics : MCP · 2026Article
- From CRISPR functional genomics to synthetic interventions: engineering antiviral strategies.Journal of virology · 2026Review
- Entry, replication and innate immunity evasion of BANAL-236, a SARS-CoV-2-related bat virus, in Rhinolophus and human cells.PLoS pathogens · 2026Article
- SARS-CoV-2 Orf3a protein interaction mapping using unnatural amino acid incorporation.Protein engineering, design & selection : PEDS · 2026Article
- AlphaFold models of host-pathogen interactions elucidate the prevalence and structural modes of molecular mimicry.bioRxiv : the preprint server for biology · 2025Article
- Regulation of innate immunity by liquid-liquid phase separation: a focus on veterinary viruses.Frontiers in microbiology · 2025Review
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
An accurate spatial representation of protein-protein interaction networks is needed to achieve a realistic and biologically relevant representation of interactomes. Here, we leveraged the spatial information included in Proximity-Dependent Biotin Identification (BioID) interactomes of SARS-CoV-2 proteins to calculate weighted distances and model the organization of the SARS-CoV-2-human interactome in three dimensions (3D) within a cell-like volume. Cell regions with viral occupancy were highlighted, along with the coordination of viral proteins exploiting the cellular machinery. Profiling physical intra-virus and virus-host contacts enabled us to demonstrate both the accuracy and the predictive value of our 3D map for direct interactions, meaning that proteins in closer proximity tend to interact physically. Several functionally important virus-host complexes were detected, and robust structural models were obtained, opening the way to structure-directed drug discovery screens. This PPI discovery pipeline approach brings us closer to a realistic spatial representation of interactomes, which, when applied to viruses or other pathogens, can provide significant information for infection. Thus, it represents a promising tool for coping with emerging infectious diseases.
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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 Socratic graph.