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Record W2120877221 · doi:10.1177/1087057110363823

AlphaScreen®-Based Characterization of the Bifunctional Kinase/RNase IRE1α: A Novel and Atypical Drug Target

2010· article· en· W2120877221 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSLAS DISCOVERY · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsPerkinElmer Biosignal
Fundersnot available
KeywordsDrug discoveryAutophosphorylationEndoribonucleaseEndoplasmic reticulumHigh-throughput screeningDruggabilityBiologyBiochemistryProtein kinase domainBifunctionalComputational biologyCell biologyRNase PKinaseChemistryProtein kinase ARNAGene

Abstract

fetched live from OpenAlex

Assay technologies that were originally developed for high-throughput screening (HTS) have recently proven useful in drug discovery for activities located upstream (target identification and validation) and downstream (ADMET) of HTS. Here the authors investigated and characterized the biological properties of a novel target, IRE1α, a bifunctional kinase/RNase stress sensor of the endoplasmic reticulum (ER). They have developed a novel assay platform using the HTS technology AlphaScreen® to monitor the dimerization/oligomerization and phosphorylation properties of the cytosolic domain of IRE1α. They show in vitro that dimerization/oligomerization of the cytosolic domain of IRE1 correlated with the autophosphorylation ability of this domain and its endoribonuclease activity toward XBP1 mRNA. Using orthogonal in vitro and cell-based approaches, the authors show that the results obtained using AlphaScreen® were biologically relevant. Preliminary characterization of assay robustness indicates that both AlphaScreen® assays should be useful in HTS for the identification of IRE1 activity modulators. Assay technologies that were originally developed for high-throughput screening (HTS) have recently proven useful in drug discovery for activities located upstream (target identification and validation) and downstream (ADMET) of HTS. Here the authors investigated and characterized the biological properties of a novel target, IRE1α, a bifunctional kinase/RNase stress sensor of the endoplasmic reticulum (ER). They have developed a novel assay platform using the HTS technology AlphaScreen® to monitor the dimerization/oligomerization and phosphorylation properties of the cytosolic domain of IRE1α. They show in vitro that dimerization/oligomerization of the cytosolic domain of IRE1 correlated with the autophosphorylation ability of this domain and its endoribonuclease activity toward XBP1 mRNA. Using orthogonal in vitro and cell-based approaches, the authors show that the results obtained using AlphaScreen® were biologically relevant. Preliminary characterization of assay robustness indicates that both AlphaScreen® assays should be useful in HTS for the identification of IRE1 activity modulators.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.324

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 head0.004
GPT teacher head0.200
Teacher spread0.196 · 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