ArticleCell2019
A Structure-Informed Atlas of Human-Virus Interactions.
Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.
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
87 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The characteristics of early-stage research into human genes are substantially different from subsequent research.PLoS biology · 2022Pooled it
- PrePPI - Structure-based Prediction of Protein-protein Interactomes and Networks.Journal of molecular biology · 2026Article
- A functional atlas of transposon-encoded products and their integration into host networks.Nature communications · 2026Article
- Host-Directed Antiviral Strategies Against Influenza Viruses: Host Targets, Multi-Omics Approaches and AI-Assisted Discovery.Veterinary sciences · 2026Review
- From legacy to innovation: A comprehensive review of vaccine platforms against viral infections.Virus research · 2026Review
- Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks.Nature communications · 2026Article
- Atlas of predicted protein complex structures across kingdoms.Nature communications · 2026Article
- De novo protein design: a transformative frontier in clinical protein applications.Journal of translational medicine · 2026Review
- Recent progress and future challenges in structure-based protein-protein interaction prediction.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- VITALdb: to select the best viroinformatics tools for a desired virus or application.Briefings in bioinformatics · 2025Article
- Novel drug targets for monkeypox: From viral to host proteins.Infectious medicine · 2025Article
- mimicINT: A workflow for microbe-host protein interaction inference.F1000Research · 2025Article
- Rebalancing immunity: The emerging role of selective estrogen receptor modulators in immunity and autoimmunity.Current trends in immunology · 2025Article
- Exploring the role of EBV in multiple sclerosis pathogenesis through EBV interactome.Frontiers in immunology · 2025Article
- Bioinformatic Resources for Exploring Human-virus Protein-protein Interactions Based on Binding Modes.Genomics, proteomics & bioinformatics · 2024Review
- HBFormer: a single-stream framework based on hybrid attention mechanism for identification of human-virus protein-protein interactions.Bioinformatics (Oxford, England) · 2024Article
- Murine colon cancer derived cells exhibit heterogeneous resistance profiles against an oncolytic virus.Scientific reports · 2024Article
- Article
- Retrospective Analysis of the Effect of Postmenopausal Women Medications on SARS-CoV-2 Infection Progression.Life (Basel, Switzerland) · 2024Article
- Rummagene: massive mining of gene sets from supporting materials of biomedical research publications.Communications biology · 2024Article
27 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
While knowledge of protein-protein interactions (PPIs) is critical for understanding virus-host relationships, limitations on the scalability of high-throughput methods have hampered their identification beyond a number of well-studied viruses. Here, we implement an in silico computational framework (pathogen host interactome prediction using structure similarity [P-HIPSTer]) that employs structural information to predict ∼282,000 pan viral-human PPIs with an experimental validation rate of ∼76%. In addition to rediscovering known biology, P-HIPSTer has yielded a series of new findings: the discovery of shared and unique machinery employed across human-infecting viruses, a likely role for ZIKV-ESR1 interactions in modulating viral replication, the identification of PPIs that discriminate between human papilloma viruses (HPVs) with high and low oncogenic potential, and a structure-enabled history of evolutionary selective pressure imposed on the human proteome. Further, P-HIPSTer enables discovery of previously unappreciated cellular circuits that act on human-infecting viruses and provides insight into experimentally intractable viruses.
Indexed as
Identifiers
What Socratic 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 Socratic graph.