Identification of a Binding Domain of the Endothelin-B Receptor Using a Selective IRL-1620-Derived Photoprobe
Bibliographic record
Abstract
On the basis of the structure of IRL-1620, a specific agonist of the endothelin-B receptor subtype (ET(B)), a few photosensitive analogues were developed to investigate the binding domain of the receptor. Among those, a derivative containing the photoreactive amino acid, p-benzoyl-l-phenylalanine in position 5 showed, as assessed with endothelin-A (ET(A)) and ET(B) receptor paradigms, pharmacological properties very similar to those of IRL-1620. The binding capacity of the probe was also evaluated on transfected Chinese hamster ovary (CHO) cells overexpressing the human ET(B) receptor. Data showed that binding of the radiolabeled peptide was inhibited by ET-1 and IRL-1620. Therefore, this photolabile probe was used to label the ET(B) receptor found in CHO cells. Photolabeling produced a ligand-protein complex appearing on SDS-PAGE at around 49 kDa. An excess of ET-1 or IRL-1620 completely abolished the formation of the complex, showing the selectivity of the photoprobe. Digestions of the [Bpa(5),Tyr((125)I)(6)]IRL-1620-ET(B) complex were carried out, and receptor fragments were analyzed to define the region of the receptor where the ligand interacts. Results showed that Endo Lys-C digestion gave a 3.8-kDa fragment corresponding to the Asp(274)-Lys(303) segment, whereas migration after V8 digestion revealed a fragment of 4.6 kDa. Because the fragments of these two digestions must overlap, the latter would be the Trp(275)-Asp(313) stretch. A cleavage with CNBr confirmed the identity of the binding domain by giving a fragment of 3.6 kDa, corresponding to Gln(267)-Met(296). Thus, the combined cleavage data strongly suggested that the agonist binding domain of ET(B) includes a portion of the fifth transmembrane domain, between residues Trp(275) and Met(296).
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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 | 0.001 | 0.000 |
| 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".