A Solid-Phase Labeling Strategy for the Preparation of Technetium and Rhenium Bifunctional Chelate Complexes and Associated Peptide Conjugates
Bibliographic record
Abstract
A new solid-phase labeling strategy for the preparation of (99m)Tc and Re chelate complexes and associated peptide derivatives, was developed. Resin-bound monoamide monoamine (MAMA) chelates were prepared in such a manner that upon the addition of a suitable Re(V) and Tc(V) precursor the target metal complexes were selectively released from the resin. The desired products were isolated from unreacted ligand by a simple filtration/solid-phase extraction procedure. In addition to the preparation of a series of functionalized ligands, a peptide conjugate was constructed from one of the resin-bound chelates using a conventional automated peptide synthesizer. The yields of the Re chelate complexes were typically greater than 70%, while the maximum yield for reactions run at the tracer level using (99m)Tc was 50%. The reported approach has a number of attractive features, including the opportunity to prepare libraries of novel agents, the ability to isolate macroscopic amounts of Re complexes for use in in vitro screening studies and as well-characterized standards for tracer level work, and the ability to produce (99m)Tc complexes that are free of any unreacted starting material without having to employ preparative HPLC.
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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".