AlphaScreen®-Based Characterization of the Bifunctional Kinase/RNase IRE1α: A Novel and Atypical Drug Target
Bibliographic record
Abstract
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, IRE1alpha, 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 IRE1alpha. 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".