Evidence map›Paper›PMID 23737061›Full record

ReviewSub-cellular biochemistry2013

Virus-receptor interactions and receptor-mediated virus entry into host cells.

José M Casasnovas

Abstract readReview
In one paragraph

Review in Sub-cellular biochemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. mBio · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Harnessing Antiviral Peptides: From Molecular Mechanisms to Clinical Translation.Current research in pharmacology and drug discovery · 2025
    Review
  12. Review
  13. Review
  14. iScience · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

José M CasasnovasDepartment of Macromolecular Structure, Centro Nacional de Biotecnología (CSIC), c/Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain, jcasasnovas@cnb.csic.es.

Funding

TIM recognition of phosphatidylserine regulates innate and adaptive immunityP01AI054456 · NIAID · STANFORD UNIVERSITY · PI FREEMAN, GORDON JAMES · 2003 to 2014
$12.8M
NIAID NIH HHS P01 AI054456NIAID NIH HHS P01-AI054456
6 · The paper itself

Abstract

The virus particles described in previous chapters are vehicles that transmit the viral genome and the infection from cell to cell. To initiate the infective cycle, the viral genome must therefore translocate from the viral particle to the cytoplasm. Via distinct proteins or motifs in their outermost shell, the particles attach initially to specific molecules on the host cell surface. These virus receptors thus mediate penetration of the viral genome inside the cell, where the intracellular infective cycle starts. The presence of these receptors on the cell surface is a principal determinant of virus host tropism. Viruses can use diverse types of molecules to attach to and enter into cells. In addition, virus-receptor recognition can evolve over the course of an infection, and virus variants with distinct receptor-binding specificities and tropism can appear. The identification of virus receptors and the characterization of virus-receptor interactions have been major research goals in virology for the last two decades. In this chapter, we will describe, from a structural perspective, several virus-receptor interactions and the active role of receptor molecules in virus entry.

Indexed as

Virus InternalizationAnimalsCell MembraneHumansReceptors, VirusVirusesVirus ReplicationReceptors, Virus

Identifiers

PMID23737061
PMCPMC7122110

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.