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Record W2034382007 · doi:10.2174/138955712800959134

Biased Agonism of the Angiotensin II Type 1 Receptor

2012· review· en· W2034382007 on OpenAlexaff
Claude Godin, Stephen S. G. Ferguson

Bibliographic record

VenueMini-Reviews in Medicinal Chemistry · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsWestern University
Fundersnot available
KeywordsG protein-coupled receptorHeterotrimeric G proteinAngiotensin IISignal transductionReceptorFunctional selectivityG protein-coupled receptor kinaseCell biologyG proteinAgonistChemistryArrestinProtein kinase ABiologyBiochemistryKinase

Abstract

fetched live from OpenAlex

G protein-coupled receptors (GPCRs) can be activated by multiple ligands and exhibit the capacity to couple to numerous intracellular signal transduction pathways. This property allows GPCRs to be modulated by biased agonists that selectively activate specific subsets of GPCR-regulated cellular signaling proteins. The angiotensin II type 1 receptor (AT1R) is a GPCR that endogenously binds to the peptide ligand angiotensin II. More recently it has been demonstrated that a modified peptide, [Sar1I-le4-Ile8]-angiotensin II (SII) acts as a biased agonist towards the AT1R. SII binds to the AT1R without promoting heterotrimeric G protein-coupling, but serves to link the receptor to the beta-arrestin-dependent activation of the mitogen activated protein kinase pathway. The present mini-review summarizes current knowledge regarding the role of biased agonists in stimulating biased AT1R signaling.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.060
GPT teacher head0.321
Teacher spread0.261 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations36
Published2012
Admission routes1
Has abstractyes

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