Evidence map›Paper›PMID 26792736›Full record

ReviewJournal of virology2016

An Evolutionary View of the Arms Race between Protein Kinase R and Large DNA Viruses.

Kathryn S Carpentier, Adam P Geballe

Abstract readReview
In one paragraph

Review in Journal of virology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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.

Kathryn S CarpentierDepartments of Microbiology and Medicine, University of Washington, Seattle, Washington, USA Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Adam P GeballeDepartments of Microbiology and Medicine, University of Washington, Seattle, Washington, USA Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA ageballe@fredhutch.org.

Funding

TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
TRANSLATIONAL CONTROL OF CYTOMEGALOVIRUS GENE EXPRESSIONR01AI026672 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GEBALLE, ADAM P. · 1994 to 2017
$6.9M
Viral Immunomodulation and Rational CMV Vaccine DesignR01HD044864 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI GEBALLE, ADAM P., MCVOY, MICHAEL A · 2003 to 2015
$4.5M
NIAID NIH HHS R01 AI026672NIAID NIH HHS R01AI027762NICHD NIH HHS R01 HD044864NIGMS NIH HHS T32 GM007270NIGMS NIH HHS T32 GM07270
6 · The paper itself

Abstract

To establish productive infections, viruses must counteract numerous cellular defenses that are poised to recognize viruses as nonself and to activate antiviral pathways. The opposing goals of host and viral factors lead to evolutionary arms races that can be illuminated by evolutionary and computational methods and tested in experimental models. Here we illustrate how this perspective has been contributing to our understanding of the interactions of the protein kinase R pathway with large DNA viruses.

Indexed as

Evolution, MolecularAnimalsDNA VirusesDNA Virus InfectionseIF-2 KinaseEukaryotic Initiation Factor-2Host-Pathogen InteractionsHumansInterferonsRNA, Double-StrandedeIF-2 KinaseEukaryotic Initiation Factor-2InterferonsRNA, Double-Stranded

Identifiers

PMID26792736
PMCPMC4794663

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.