Photolabeling Identifies Position 172 of the Human AT<sub>1</sub> Receptor as a Ligand Contact Point: Receptor-Bound Angiotensin II Adopts an Extended Structure
Bibliographic record
Abstract
An angiotensin II (AngII) peptidic analogue in which the third residue (valine) was substituted with the photoreactive p-benzoyl-L-phenylalanine (Bpa) was used to identify ligand-binding sites of the human AT(1) receptor. High-affinity binding of the analogue, (125)I-[Bpa(3)]AngII, to the AT(1) receptor heterologously expressed in COS-7 cells enabled us to efficiently photolabel the receptor. Chemical and enzymatic digestions of the (125)I-[Bpa(3)]AngII-AT(1) complex were performed, and receptor fragments were analyzed in order to define the region of the receptor with which the ligand interacts. Results show that CNBr hydrolysis of the photolabeled receptor gave a glycosylated fragment which, after PNGase-F digestion, migrated as a 11.4 kDa fragment, circumscribing the labeled domain between residues 143-243 of the AT(1) receptor. Digestion of the receptor-ligand complex with Endo Lys-C or trypsin followed by PNGase-F treatment yielded fragments of 7 and 4 kDa, defining the labeling site of (125)I-[Bpa(3)]AngII within residues 168-199 of the AT(1) receptor. Photolabeling of three mutant receptors in which selected residues adjacent to residue 168 were replaced by methionine within the 168-199 fragment (I172M, T175M, and I177M) followed by CNBr cleavage revealed that the bound photoligand (125)I-[Bpa(3)]AngII forms a covalent bond with the side chain of Met(172) of the second extracellular loop of the AT(1) receptor. These data coupled with previously obtained results enable us to propose a model whereby AngII adopts an extended beta-strand conformation when bound to the receptor and would orient itself within the binding domain by having its N-terminal portion interacting with the second extracellular loop and its C-terminus interacting with residues of the seventh transmembrane domain.
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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 | 0.001 |
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".