A solid-phase CuAAC strategy for the synthesis of PNA containing nucleobase surrogates
Bibliographic record
Abstract
The synthesis of an azide containing PNA monomer is described. The monomer was incorporated into two PNA sequences for the purpose of synthesizing an intercalating fluorophore-labeled PNA and a metal binding hairpin using a solid phase copper catalyzed azide-alkyne Huisgen cycloaddition (CuAAC). Click chemistry was performed using 2-ethynylfluorene or 1-ethynylpyrene to add a fluorophore to the PNA, which were tested for their ability to recognize an abasic site on a DNA target. A PNA hairpin possessing azide monomers at each termini was synthesized and reacted with 2-ethynylpyridine to form a hairpin that is stabilized by Ni²⁺.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".