Synthesis of <i>cis</i>- and <i>trans</i>-α-<scp>l</scp>-[4.3.0]Bicyclo-DNA Monomers for Antisense Technology: Methods for the Diastereoselective Formation of Bicyclic Nucleosides
Bibliographic record
Abstract
Two α-L-ribo-configured bicyclic nucleic acid modifications, represented by analogues 12 and 13, which are epimeric at C3' and C5' have been synthesized using a carbohydrate-based approach to build the bicyclic core structure. An intramolecular L-proline-mediated aldol reaction was employed to generate the cis-configured ring junction of analogue 12 and represents a rare application of this venerable organocatalytic reaction to a carbohydrate system. In the case of analogue 13, where a trans-ring junction was desired, an intermolecular diastereoselective Grignard reaction followed by ring-closing metathesis was used. In order to set the desired stereochemistry at the C5' positions of both nucleoside targets, a study of diastereoselective Lewis acid mediated allylation reactions on a common bicyclic aldehyde precursor was carried out. Analogue 12 was incorporated in oligonucleotide sequences, and thermal denaturation experiments indicate that it is destabilizing when paired with complementary DNA and RNA. However, this construct shows a significant improvement in nuclease stability relative to a DNA oligonucleotide.
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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) | 0.000 | 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 | 0.001 |
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".