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Record W2053714100 · doi:10.1074/jbc.m006082200

Mapping of the ATP-binding Sites on Inositol 1,4,5-Trisphosphate Receptor Type 1 and Type 3 Homotetramers by Controlled Proteolysis and Photoaffinity Labeling

2001· article· en· W2053714100 on OpenAlexfundno aff
Karlien Maes, Ludwig Missiaen, Jan B. Parys, Patrick De Smet, Ilse Sienaert, Etienne Waelkens, Geert Callewaert, Humbert De Smedt

Bibliographic record

VenueJournal of Biological Chemistry · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Kinase Regulation and GTPase Signaling
Canadian institutionsnot available
FundersVlaamse regeringFonds Wetenschappelijk OnderzoekUniversité de SherbrookeThomas Jefferson University
KeywordsProteolysisPhotoaffinity labelingInositolChemistryBiochemistryReceptorBinding siteStereochemistryEnzyme

Abstract

fetched live from OpenAlex

Submillimolar ATP concentrations strongly enhance the inositol 1,4,5-trisphosphate (IP(3))-induced Ca(2+) release, by binding specifically to ATP-binding sites on the IP(3) receptor (IP(3)R). To locate those ATP-binding sites on IP(3)R1 and IP(3)R3, both proteins were expressed in Sf9 insect cells and covalently labeled with 8-azido-[alpha-(32)P]ATP. IP(3)R1 and IP(3)R3 were then purified and subjected to a controlled proteolysis, and the labeled proteolytic fragments were identified by site-specific antibodies. Two fragments of IP(3)R1 were labeled, each containing one of the previously proposed ATP-binding sites with amino acid sequence GXGXXG (amino acids 1773-1780 and 2016-2021, respectively). In IP(3)R3, only one fragment was labeled. This fragment contained the GXGXXG sequence (amino acids 1920-1925), which is conserved in the three IP(3)R isoforms. The presence of multiple interaction sites for ATP was also evident from the IP(3)-induced Ca(2+) release in permeabilized A7r5 cells, which depended on ATP over a very broad concentration range from micromolar to millimolar.

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)0.001
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 score0.009
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.017
GPT teacher head0.243
Teacher spread0.226 · 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

Citations50
Published2001
Admission routes1
Has abstractyes

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