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Record W2486084896 · doi:10.1007/978-1-62703-779-2_7

Signalosome Profiling Reveals Allosteric Interactions Between G Protein-Coupled Receptors

2013· book-chapter· en· W2486084896 on OpenAlexaff
Katrin Altosaar, Darlaine Pétrin, Dominic Devost, Terence E. Hébert

Bibliographic record

VenueMethods in pharmacology and toxicology · 2013
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsMcGill University
Fundersnot available
KeywordsAllosteric regulationProfiling (computer programming)Computational biologyReceptorBiologyChemistryComputer scienceGenetics

Abstract

fetched live from OpenAlex

G protein-coupled receptors (GPCRs) comprise the largest group of cell surface receptors, translating environmental signals into cellular responses via cognate G protein partners. Contrary to our initial understanding, most GPCRs do not function in living cells as monomers, but most likely dimers, or even larger arrays of receptors. Standard drug design approaches rely on the notion that drugs binding the two receptors in a given dimer likely function independently of one another. However, this view has been challenged by recent work showing that ligand binding at both receptors can modulate dimeric receptors via allosteric communication. While one receptor may actually be needed to drive signaling, the other acts to control or modulate these signals, without a direct signaling outcome itself. Based on the notion of allosteric modulation within homo- and heterodimers, we must now consider a broader examination of the effects of single- and dual-ligand stimulation in the context of tissues expressing multiple GPCRs. Here, we describe the use of a combination of calcium, cyclic adenosine monophosphate (cAMP), and mitogen-activated protein kinase (MAPK) signaling assays, and protein–protein interaction assays to characterize functional and physical interactions in a putative D2 dopamine receptor/oxytocin receptor heterodimer (D2R/OTR), in HEK 293 cells.

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 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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.507
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.040
GPT teacher head0.369
Teacher spread0.330 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations1
Published2013
Admission routes1
Has abstractyes

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