ReviewCurrent opinion in structural biology2017
Structural features of glycan recognition among viral pathogens.
Review in Current opinion in structural biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 30 citations in OpenAlex.
- Norovirus replication, host interactions and vaccine advances.Nature reviews. Microbiology · 2025Review
- Antiviral Activity of Carrageenans and Processing Implications.Marine drugs · 2021Review
- The Crossroads between Host Copper Metabolism and Influenza Infection.International journal of molecular sciences · 2021Review
- NMR Experiments Shed New Light on Glycan Recognition by Human and Murine Norovirus Capsid Proteins.Viruses · 2021Article
- Synthetic Carbohydrate Chemistry and Translational Medicine.The Journal of organic chemistry · 2020Article
- Backbone Free Energy Estimator Applied to Viral Glycoproteins.Journal of computational biology : a journal of computational molecular cell biology · 2020Article
- Virus interactions with bacteria: Partners in the infectious dance.PLoS pathogens · 2020Review
- Catalytic activity regulation through post-translational modification: the expanding universe of protein diversity.Advances in protein chemistry and structural biology · 2020Review
- Characterization of Norovirus and Other Human Enteric Viruses in Sewage and Stool Samples Through Next-Generation Sequencing.Food and environmental virology · 2019Article
- The Symmetry of Viral Sialic Acid Binding Sites-Implications for Antiviral Strategies.Viruses · 2019Review
- A post-translational modification of human Norovirus capsid protein attenuates glycan binding.Nature communications · 2019Article
- Review
- Capillary Electrophoresis Separations of Glycans.Chemical reviews · 2018Review
- Glycan-Glycan Interaction DeterminesmBio · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Recognition and binding to host glycans present on cellular surfaces is an initial and critical step in viral entry. Diverse families of host glycans such as histo-blood group antigens, sialoglycans and glycosaminoglycans are recognized by viruses. Glycan binding determines virus-host specificity, tissue tropism, pathogenesis and potential for interspecies transmission. Viruses including noroviruses, rotaviruses, enteroviruses, influenza, and papillomaviruses have evolved novel strategies to bind specific glycans often in a strain-specific manner. Structural studies have been instrumental in elucidating the molecular determinants of these virus-glycan interactions, aiding in developing vaccines and antivirals targeting this key interaction. Our review focuses on these key structural aspects of virus-glycan interactions, particularly highlighting the different strain-specific strategies employed by viruses to bind host glycans.
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.