Evidence map›Paper›PMID 29204885›Full record

ReviewBiophysical reviews2018

Bacteriophage T4 long tail fiber domains.

Paul Hyman, Mark van Raaij

Open access · greenAbstract readReview
In one paragraph

Review in Biophysical reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

32 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  9. Review
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  14. Insights into theInternational journal of molecular sciences · 2023
    Article
  15. Article
  16. Genetic evidence for the interaction betweenFrontiers in microbiology · 2023
    Article
  17. Article
  18. Review
  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

2 authors at 2 institutions in 2 countries.

Paul HymanDepartment of Biology/Toxicology, Ashland University, 401 College Ave., Ashland, OH, 44805, USA. phyman@ashland.edu.ORCID http://orcid.org/0000-0002-0108-4993
Mark van RaaijDepartamento de Estructura de Macromoleculas, Centro Nacional de Biotecnologia (CNB-CSIC), Calle Darwin 3, 28049, Madrid, Spain.
Ashland University · USCentro Nacional de Biotecnología · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteriophage T4 initially recognizes its host cells using its long tail fibers. Long tail fibers consist of a phage-proximal and a phage-distal rod, each around 80 nm long and attached to each other at a slight angle. The phage-proximal rod is formed by a homo-trimer of gene product 34 (gp34) and is attached to the phage-distal rod by a monomer of gp35. The phage-distal rod consists of two protein trimers: a trimer of gp36, attached to gp35, although most of the phage-distal rod, including the receptor-binding domain, is formed by a trimer of gp37. In this review, we discuss what is known about the detailed structure and function of the different long tail fiber domains. Partial crystal structures of gp34 and gp37 have revealed the presence of new protein folds, some of which are present in several repeats, while others are apparently unique. Gp38, a phage chaperone protein necessary for folding of gp37, is thought to act on an α-helical coiled-coil region in gp37. Future studies should reveal the remaining structure of the long tail fibers, how they assemble into a functional unit, and how the long tail fibers trigger the infection process after successful recognition of a suitable host bacterium.

Indexed as

AssemblyBacteriophage T4Long tail fiberProtein foldsα-Helical coiled-coilβ-Structure

Identifiers

PMID29204885
PMCPMC5899708
OpenAlexW2772097094

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.