ReviewViruses2021
Cell Entry of Animal Coronaviruses.
Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 18 citations in OpenAlex.
- Efficient design and production of glycosylated PEDV spike S1 protein.Scientific reports · 2026Article
- Meta-analysis of functional genomics studies reveals conserved cellular pathways required by viruses of pandemic concern.Access microbiology · 2026Article
- Infection of animal coronaviruses into a bat cell line from the kidney of Pipistrellus abramus.The Journal of veterinary medical science · 2025Article
- Leveraging Artificial Intelligence and Gene Expression Analysis to Identify Some Potential Bovine Coronavirus (BCoV) Receptors and Host Cell Enzymes Potentially Involved in the Viral Replication and Tissue Tropism.International journal of molecular sciences · 2025Article
- Molecular Mechanisms and Potential Antiviral Strategies of Liquid-Liquid Phase Separation during Coronavirus Infection.Biomolecules · 2024Review
- Review
- Determinants of species-specific utilization of ACE2 by human and animal coronaviruses.Communications biology · 2023Article
- Characterization of CCoV-HuPn-2018 spike protein-mediated viral entry.Journal of virology · 2023Article
- SARS-CoV-2 Protein S Fusion Peptide Is Capable of Wrapping Negatively-Charged Phospholipids.Membranes · 2023Article
- Infectivity and Morphology of Bovine Coronavirus Inactivated In Vitro by Cationic Photosensitizers.Viruses · 2022Article
- Review
- The Potential of Purinergic Signaling to Thwart Viruses Including SARS-CoV-2.Frontiers in immunology · 2022Review
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 2 institutions in 2 countries.
Funding
Abstract
Coronaviruses (CoVs) are a group of enveloped positive-sense RNA viruses and can cause deadly diseases in animals and humans. Cell entry is the first and essential step of successful virus infection and can be divided into two ongoing steps: cell binding and membrane fusion. Over the past two decades, stimulated by the global outbreak of SARS-CoV and pandemic of SARS-CoV-2, numerous efforts have been made in the CoV research. As a result, significant progress has been achieved in our understanding of the cell entry process. Here, we review the current knowledge of this essential process, including the viral and host components involved in cell binding and membrane fusion, molecular mechanisms of their interactions, and the sites of virus entry. We highlight the recent findings of host restriction factors that inhibit CoVs entry. This knowledge not only enhances our understanding of the cell entry process, pathogenesis, tissue tropism, host range, and interspecies-transmission of CoVs but also provides a theoretical basis to design effective preventive and therapeutic strategies to control CoVs infection.
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.