Fluorescent Branched RNAs for High-Throughput Analysis of Dbr1 Enzyme Kinetics and Inhibition
Bibliographic record
Abstract
We have developed fluorescent 2′,5′ branched RNAs (bRNA) that permit real time monitoring of RNA lariat (intron) debranching enzyme (Dbr1) kinetics. These compounds contain fluorescein (FAM) on the 5′ arm of the bRNA that is quenched by a dabcyl moiety on the 2′ arm. Dbr1-mediated hydrolysis of the 2′,5′ linkage induces a large increase in fluorescence, providing a convenient assay for Dbr1 hydrolysis. We show that unlabeled bRNAs with non-native 2′,5′-phosphodiester linkages, such as phosphoramidate or phosphorothioate, can inhibit Dbr1-mediated debranching with IC 50 values in the low nanomolar range. In addition to measuring kinetic parameters of the debranching enzyme, these probes can be used for high throughput screening (HTS) of chemical libraries with the aim of identifying Dbr1 inhibitors, compounds that may be useful in treating neurodegenerative diseases and retroviral infections.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".