Designing kinetically stable aryltrifluoroborates as <sup>18</sup>F‐capture agents for PET imaging
Bibliographic record
Abstract
One‐step 18F‐radiolabeling of peptides and other large biomolecules has been challenged by a critical gap in chemical compatibility between fluoride anion, which is unreactive as a nucleophile in water, and large biomolecules such as peptides that are insoluble in dry solvents. Traditionally, this disparity has been overcome through the preliminary synthesis of an 18F‐labeled radioprosthetic group that is appended to peptides following at least one additional step. Ideally, however, peptides should be labeled in a single aqueous step. Hence, we proposed the use of arylboronic acids as captors of aqueous 18F‐fluoride ion to simplify the radiosynthesis of 18F‐aryltrifluoroborate bioconjugates. Yet, the use of aryltrifluoroborates as radioprosthetic groups can only be considered if kinetically stable ones can be designed. Herein, we discuss the kinetic and thermodynamic parameters review our previous use of a Hammett analysis that can inform the design of kinetically stable 18F‐labeled aryltrifluoroborates for use as novel radioprosthetic groups. Copyright © 2014 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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".