Radiosynthesis and bioconjugation of [<sup>18</sup>F]FPy5yne, a prosthetic group for the <sup>18</sup>F labeling of bioactive peptides
Bibliographic record
Abstract
Abstract A new 18 F‐based prosthetic group has been prepared for the labeling of azide‐modified peptides for use in PET imaging. 2‐[ 18 F]fluoro‐3‐(hex‐5‐ynyloxy)pyridine ([ 18 F]FPy5yne, [ 18 F]‐1) was prepared via efficient nucleophilic heteroaromatic substitution of either the corresponding 2‐nitro (2) or 2‐trimethylammonium trifluoromethanesulfonate pyridine (3). Best radiochemical yield of [ 18 F]FPy5yne from 2 was 91% by radioTLC (15 min, 110°C, DMSO). From 3, best radiochemical yield by radioTLC was 93% (15 min, 110°C, MeCN). HPLC‐purified [ 18 F]FPy5yne was ligated to model peptide N 3 –(CH 2 ) 4 –CO–YKRI–OH by way of Cu I ‐mediated Huisgen [3+2] cycloaddition in the presence of copper‐stabilizing ligand tris(benzyltriazolylmethyl)amine (TBTA) and N , N ‐diisopropylethylamine (DIEA). Bioconjugate radiochemical yields were obtained in average yields of 89%±8.6% ( n =4), as judged by radioHPLC. Best non‐decay‐corrected, collected radiochemical yield of modified peptide from end‐of‐bombardment was 5.8% (18.7% decay‐corrected), with a total preparation time of 160 min from start of synthesis. 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) | 0.001 | 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".