Automated radiosynthesis of <i>N</i>‐(4‐[<sup>18</sup>F]fluorobenzyl)‐2‐bromoacetamide: an F‐18‐labeled reagent for the prosthetic radiolabeling of oligonucleotides
Bibliographic record
Abstract
Abstract The potential for radiolabeled antisense oligonucleotides to image gene expression combined with the enhanced resolution of positron‐emission tomography justifies the continued interest in the development of oligonucleotides tagged with positron‐emitting radionuclides. The radiolabeling of oligonucleotides is a multi‐step process and may require handling large amounts of radioactivity initially. A previously reported method for radiolabeling oligonucleotides with N‐(4‐[18F]fluorobenzyl)‐2‐bromoacetamide was adapted for use in a commercially available automated synthesis unit by linking two reaction trains. The yield of N‐(4‐[18F]fluorobenzyl)‐2‐bromoacetamide ranged from 3 to 18% and the synthesis was completed within 1 h. Challenges in using this unit included the maintenance of anhydrous conditions for the effective reduction of 4‐[18F]fluorobenzonitrile. Preliminary results indicated that a mean yield of 36% could be obtained upon incubation of an oligonucleotide with N–(4‐[18F]fluorobenzyl)‐2‐bromoacetamide. The entire synthesis could be performed within 3 h. Copyright © 2008 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".