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Record W7056015894

Discovery and characterization of novel inhibitors of protein kinase R

2013· dissertation· en· W7056015894 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2013
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesCanadian Institutes of Health ResearchUniversity of California, Davis
KeywordsProtein kinase RAutophosphorylationKinasePhosphorylationProtein kinase AProtein subunitTranslation (biology)eIF2Innate immune system
DOInot available

Abstract

fetched live from OpenAlex

Double-stranded RNA-dependent protein kinase (PKR) is an interferon-inducible serine/threonine kinase that plays a crucial role in innate immunity against viral infections. Activated PKR downregulates global protein synthesis through phosphorylation of the α subunit of eukaryotic initiation factor 2 (eIF2) and induces transcriptional output of cellular mRNAs implicated in limiting viral spread. Accumulating evidence suggests that PKR is involved in a multitude of other cellular processes including signal transduction, apoptosis, cell growth and differentiation, as well as the pathogenesis of several neurodegenerative diseases. In this context, small molecules targeting PKR would be useful as tools to help understand the intricacies of such biological pathways. In screening a library of natural and synthetic products for eukaryotic translation modulators, we identified two small molecules, isohymenialdisine and hymenialdisine, that exhibit stimulatory effects on translation. Characterization of the mode of action of isohymenialdisine revealed that it directly acts on PKR by inhibiting its autophosphorylation activity and perturbs the PKR-eIF2α phosphorylation axis.

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 categoriesMeta-epidemiology (narrow)
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 score0.024
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.011
GPT teacher head0.202
Teacher spread0.191 · 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.

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

Citations0
Published2013
Admission routes1
Has abstractyes

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