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Record W2168120533 · doi:10.1073/pnas.0508207103

Tyrosine phosphorylation acts as a molecular switch to full-scale activation of the eIF2α RNA-dependent protein kinase

2005· article· en· W2168120533 on OpenAlexafffund
Qiaozhu Su, Shuo Wang, Dionissios Baltzis, Li-Ke Qu, Andrew Hoi-Tao Wong, Antonis E. Koromilas

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsJewish General Hospital
FundersNational Cancer InstituteCanadian Institutes of Health ResearchTerry Fox FoundationCancer Research Society
KeywordsProtein kinase RPhosphorylationMAP2K7BiologyMitogen-activated protein kinase kinaseeIF2Tyrosine phosphorylationPhosphorylation cascadeProtein kinase ACyclin-dependent kinase 9Cell biologyMAP kinase kinase kinaseEIF-2 kinaseCyclin-dependent kinase 2Protein phosphorylationBiochemistryTranslation (biology)Messenger RNAGene

Abstract

fetched live from OpenAlex

Phosphorylation of the alpha-subunit of translation eukaryotic initiation factor-2 (eIF2) leads to the inhibition of protein synthesis in response to diverse conditions of stress. Serine/threonine RNA-dependent protein kinase (PKR) is an eIF2alpha kinase family member induced by type I IFN and activated in response to dsRNA or virus infection. Herein, we demonstrate that human PKR is a dual specificity kinase phosphorylated at Y101, Y162 and Y293 in vitro and in vivo. Site-specific tyrosine phosphorylation is essential for efficient dsRNA-binding, dimerization, kinase activation and eIF2alpha phosphorylation of PKR. Biologically, tyrosine phosphorylation of PKR mediates the antiviral and antiproliferative properties of the kinase through its ability to control translation. Our data demonstrate an important role of tyrosine phosphorylation in biochemical and biological processes caused or mediated by the activation of the eIF2alpha kinase PKR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.276
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations78
Published2005
Admission routes2
Has abstractyes

Explore more

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