Fluorine and Rhenium Substituted Ghrelin Analogues as Potential Imaging Probes for the Growth Hormone Secretagogue Receptor
Bibliographic record
Abstract
In our effort to create imaging probes targeting the growth hormone secretagogue receptor (GHSR), we now report on the design and synthesis of fluorine and rhenium containing ghrelin analogues through modification of the n-octanoyl Ser-3 side chain. Fluorine analogues were designed whereby the fluorine atom is situated at the terminus of an aliphatic chain using diaminopropionic acid (Dpr) as residue-3. Truncated ghrelin(1-5) and ghrelin(1-14) fluorine-bearing analogues were prepared, the best of which had a 28 nM IC(50) for GHSR. Ghrelin(1-14) analogues were also prepared containing rhenium, as a surrogate metal for technetium-99m, with a cyclopentadienylrhenium tricarbonyl being situated at the terminus of the residue-3 side chain, yielding compounds the best of which had a 35 nM IC(50). This represents a rare case of incorporating rhenium into a peptide structure where the metal complex is required for biological activity. These fluorine and rhenium derivatives demonstrate the ability to modify the Ser-3 side chain of ghrelin in order to create imaging probes for the GHSR.
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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 | 0.000 | 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".