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Record W2171149904 · doi:10.1002/jlcr.1917

[<sup>11</sup>C]Methyl‐losartan as a potential ligand for PET imaging angiotensin II AT<sub>1</sub> receptors

2011· article· en· W2171149904 on OpenAlex
Tayebeh Hadizad, Jeffrey Collins, Rawad Antoun, Rob Beanlands, Jean N. DaSilva

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Labelled Compounds and Radiopharmaceuticals · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsLosartanChemistryTetrazoleRadioligandAngiotensin IIAngiotensin II receptor type 1Angiotensin receptorReceptorRenin–angiotensin systemLigand (biochemistry)PharmacologyBlood pressureInternal medicineStereochemistryBiochemistryMedicine

Abstract

fetched live from OpenAlex

The renin‐angiotensin system regulates blood pressure via activation of the angiotensin II type 1 receptor (AT 1 R). The AT 1 R is involved in the pathology of cardiac and renal diseases such as heart failure and diabetic nephropathy. The aim of this study was to synthesize and characterize the O‐[ 11 C]methylated derivative of the clinically used AT 1 receptor blocker losartan as a novel AT 1 R PET imaging radioligand. [ 11 C]Methyl‐losartan was reliably synthesized ( n ≥ 40) via methylation of tetrazole‐protected losartan followed by deprotection using HCl in an overall yield of 30%–60% (decay‐corrected from [ 11 C]MeI). Radiochemical purity was &gt;99% and specific activity 700–3600 mCi/µmol. Copyright © 2011 John Wiley &amp; Sons, Ltd.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.269
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it