ArticlePLoS pathogens2024
Cellular receptors for mammalian viruses.
Article in PLoS pathogens, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 21 citations in OpenAlex.
- PTBP1 at the host-virus interface: mechanistic roles in viral RNA translation, replication, and immune modulation.Molecular biology reports · 2026Review
- Differential Susceptibility to OsHV-1 in Two Geographic Populations of Ark Clam (Microorganisms · 2026Article
- Pseudovirus-mediated proximity labeling identifies candidate host cell membrane proteins involved in viral attachment.Journal of virology · 2026Article
- Quantifying and combating zoonotic viruses poised for emergence: Using multiplex receptor screening and decoy engineering technologies.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Knockout of key receptors (PDGFRA and NRP2) in the guinea pig model blocks direct and endocytic pathways of CMV cell entry.The Journal of general virology · 2026Article
- Alpha-Glucosidase ofViruses · 2026Article
- Protein language models enable accurate viral host range prediction.Scientific reports · 2026Article
- A Unified Framework to Prioritize RNA Virus Cross-Species Transmission Risk Across an Expansive Host Landscape.Viruses · 2026Article
- Genome-wide CRISPR screening identifies Annexin A1 as a facilitator of porcine astrovirus entry.PLoS pathogens · 2026Article
- Gut plasma membrane proteomes of adults and larvae of the European honey bee, Apis mellifera.Scientific reports · 2025Article
- A Safe and Accessible Cell-Based Spike-ACE2 Binding Assay for Evaluating SARS-CoV-2 Neutralization Activity in Biological Samples Using Flow Cytometry.Methods and protocols · 2025Article
- Kinetic Analysis of SARS-CoV-2 S1-Integrin Binding Using Live-Cell, Label-Free Optical Biosensing.Biosensors · 2025Article
- Receptor Binding for the Entry Mechanisms of SARS-CoV-2: Insights from the Original Strain and Emerging Variants.Viruses · 2025Review
- Article
- Receptor-binding proteins from animal viruses are broadly compatible with human cell entry factors.Nature microbiology · 2025Article
- Cell line bias in virus research: implications for viral propagation and biological interpretation.Frontiers in cellular and infection microbiology · 2025Review
- Significance of Artificial Intelligence in the Study of Virus-Host Cell Interactions.Biomolecules · 2024Review
- Bioinformatic characterization of ENPEP, the gene encoding a potential cofactor for SARS-CoV-2 infection.PloS one · 2024Article
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 1 institution in 1 country.
Funding
Abstract
The interaction of viral surface components with cellular receptors and other entry factors determines key features of viral infection such as host range, tropism and virulence. Despite intensive research, our understanding of these interactions remains limited. Here, we report a systematic analysis of published work on mammalian virus receptors and attachment factors. We build a dataset twice the size of those available to date and specify the role of each factor in virus entry. We identify cellular proteins that are preferentially used as virus receptors, which tend to be plasma membrane proteins with a high propensity to interact with other proteins. Using machine learning, we assign cell surface proteins a score that predicts their ability to function as virus receptors. Our results also reveal common patterns of receptor usage among viruses and suggest that enveloped viruses tend to use a broader repertoire of alternative receptors than non-enveloped viruses, a feature that might confer them with higher interspecies transmissibility.
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.