Design, Synthesis, and Properties of Phosphoramidate 2′,5′-Linked Branched RNA: Toward the Rational Design of Inhibitors of the RNA Lariat Debranching Enzyme
Bibliographic record
Abstract
Two RNA fragments linked by means of a 2',5' phosphodiester bridge (2' hydroxyl of one fragment connected to the 5' hydroxyl of the other) constitute a class of nucleic acids known as 2'-5' branched RNAs (bRNAs). In this report we show that bRNA analogues containing 2'-5' phosphoramidate linkages (bN-RNAs) inhibit the lariat debranching enzyme, a 2',5'-phosphodiesterase that has recently been implicated in neurodegenerative diseases associated with aging. bN-RNAs were efficiently generated using automated solid-phase synthesis and suitably protected branchpoint building blocks. Two orthogonally removable groups, namely the 4-monomethoxytrityl (MMTr) group and the fluorenylmethyl-oxycarbonyl (Fmoc) groups, were evaluated as protecting groups of the 2' amino functionality. The 2'-N-Fmoc methodology was found to successfully produce bN-RNAs on solid-phase oligonucleotide synthesis. The synthesized bN-RNAs resisted hydrolysis by the lariat debranching enzyme (Dbr1) and, in addition, were shown to attenuate the Dbr1-mediated hydrolysis of native bRNA.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".