Stereospecific Synthesis of a Carbene-Generating Angiotensin II Analogue for Comparative Photoaffinity Labeling: Improved Incorporation and Absence of Methionine Selectivity
Bibliographic record
Abstract
A stereospecific convergent synthesis of N-[(9-fluorenyl)methoxycarbonyl]-p-[3-(trifluoromethyl)-3H-diazirin-3-yl]-l-phenylalanine (Fmoc-12, Fmoc-Tdf) and its incorporation into the C-terminal position of the angiotensin II (AngII) peptide to form (125)I[Sar(1),Tdf(8)]AngII ((125)I-13) is presented. This amino acid photoprobe is a highly reactive carbene-generating diazirine phenylalanine derivative that can be used for photoaffinity labeling. Using model receptors, we compared the reactivity and the Met selectivity of 12 to that of the widely used and reputedly Met-selective p-benzoyl-l-phenylalanine (Bpa) photoprobe. Wild-type and mutant AngII type 2 receptors, a G protein-coupled receptors, were photolabeled with (125)I-13 as well as with (125)I[Sar(1),Bpa(8)]AngII ((125)I-14), and the respective incorporation yields were assessed. The carbene-generating 12 was more reactive toward inert residues and was not Met-selective compared to the biradical ketone-generating Bpa, allowing for more precise determination of ligand contact points in peptidergic receptors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".