Evidence map›Paper›PMID 30214450›Full record

ReviewFrontiers in immunology2018

Structure of TRAF Family: Current Understanding of Receptor Recognition.

Hyun H Park

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

106 citing papers in PubMed, 151 citations in OpenAlex.

  1. Structural dynamics and pH-regulated membrane binding of the TRAF2-NC trimer.Protein science : a publication of the Protein Society · 2026
    Article
  2. Genome-Wide Identification of the TRAF Gene Family in Common Carp (Animals : an open access journal from MDPI · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. TRAF6 coiled-coil domain mediates its trimerization.bioRxiv : the preprint server for biology · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

46 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Hyun H ParkCollege of Pharmacy, Chung-Ang University, Seoul, South Korea.
Chung-Ang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor necrosis factor receptor-associated factor (TRAF) proteins are key signaling molecules that function in various cellular signaling events including immune response, cell death and survival, development, and thrombosis. Their roles in cellular signaling are mediated mostly by direct interactions with various receptors via the TRAF domain. To determine how specific TRAF domains can interact with various receptors with a limited binding interface and how similar binding interfaces of TRAF family members can recognize their specific binding partners, extensive structural studies on TRAF family proteins have been conducted for several decades. In this review, we discuss the current understanding of the structural and molecular diversity of the TRAF domain and TRAF-binding motifs in many receptors according to available structural information.

Indexed as

Immunity, InnateAmino Acid MotifsAnimalsHumansInflammationMolecular StructureProtein BindingProtein ConformationProtein DomainsSignal TransductionStructure-Activity RelationshipTumor Necrosis Factor Receptor-Associated Peptides and ProteinsTumor Necrosis Factor Receptor-Associated Peptides and Proteinsinflammationinnate immunityprotein interactionstructureTRAF domainTRAF family

Identifiers

PMID30214450
PMCPMC6125299
OpenAlexW2889007771

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.