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Record W2015221261 · doi:10.1073/pnas.1014872108

Requirement for kinase-induced conformational change in eukaryotic initiation factor 2α (eIF2α) restricts phosphorylation of Ser51

2011· article· en· W2015221261 on OpenAlexafffund
Madhusudan Dey, Algirdas Vėlyvis, John J. Li, Elaine Chiu, David Chiovitti, Lewis E. Kay, Frank Sicheri, Thomas Dever

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalUniversity of Toronto
FundersCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsProtein kinase RPhosphorylationeIF2KinaseCell biologyEIF-2 kinaseBiologyEukaryotic initiation factorPhosphorylation cascadeProtein kinase ABiochemistryProtein phosphorylationTranslation (biology)Cyclin-dependent kinase 2Messenger RNA

Abstract

fetched live from OpenAlex

As phosphorylation of eukaryotic translation initiation factor 2α (eIF2α) on Ser51 inhibits protein synthesis, cells restrict this phosphorylation to the antiviral protein kinase PKR and related eIF2α kinases. In the crystal structure of the PKR-eIF2α complex, the C-terminal lobe of the kinase contacts eIF2α on a face remote from Ser51, leaving Ser51 ∼ 20 Å from the kinase active site. PKR mutations that cripple the eIF2α-binding site impair phosphorylation; here, we identify mutations in eIF2α that restore Ser51 phosphorylation by PKR with a crippled substrate-binding site. These eIF2α mutations either disrupt a hydrophobic network that restricts the position of Ser51 or alter a linkage between the PKR-docking region and the Ser51 loop. We propose that the protected state of Ser51 in free eIF2α prevents promiscuous phosphorylation and the attendant translational regulation by heterologous kinases, whereas docking of eIF2α on PKR induces a conformational change that regulates the degree of Ser51 exposure and thus restricts phosphorylation to the proper kinases.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.193

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.130
GPT teacher head0.330
Teacher spread0.201 · 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 teacher head, 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

Citations25
Published2011
Admission routes2
Has abstractyes

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