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Record W2019654400 · doi:10.1016/s0014-5793(00)01315-6

Distinct function of the cytoplasmic tail in human D1‐like receptor ligand binding and coupling

2000· article· en· W2019654400 on OpenAlexaff
Adele Jackson, Rafal Iwasiow, Mario Tiberi

Bibliographic record

VenueFEBS Letters · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsBiophysicsCytoplasmCoupling (piping)Function (biology)ChemistryLigand (biochemistry)ReceptorCell biologyBiologyBiochemistryMaterials science

Abstract

fetched live from OpenAlex

To delineate the role of the cytoplasmic tail in the distinct binding and coupling properties of human dopamine D1-like receptors, chimeric receptors were generated in which the entire tail region of wild-type human D1A (or D1) and D1B (or D5) receptors was exchanged. The hD1A-D1BT, but not hD1B-D1AT, receptor expression was dramatically reduced compared with wild-type receptor expression. Swapping the cytoplasmic tail resulted in a full switch of dopamine binding affinity and constitutive activity, while dopamine potency decreased and agonist-mediated maximal activation of adenylyl cyclase increased for both chimeras. Hence, the cytoplasmic tail plays a crucial role in D1-like receptor expression, agonist binding affinity and constitutive activation but regulates in a distinct fashion the formation of D1A and D1B receptor active states upon dopamine binding.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.006
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations28
Published2000
Admission routes1
Has abstractyes

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