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Record W2276183529 · doi:10.1385/0-89603-298-1:51

Measurement of the GTPase Activity of Signal-Transducing G-Proteins in Neuronal Membranes

2003· article· en· W2276183529 on OpenAlexafffund
Marva I. Sweeney

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Kinase Regulation and GTPase Signaling
Canadian institutionsUniversity of Saskatchewan
FundersMedical Research Council CanadaWellcome Trust
KeywordsGTPaseGTP'GuanosineMembraneGuanosine triphosphateHydrolysisChemistryEnzymeBiochemistryInorganic phosphateGuanosine diphosphateBiophysicsNucleotideBiology

Abstract

fetched live from OpenAlex

The methods described in this chapter are designed to measure the hydrolysis of guanosine triphosphate (GTP) to inorganic phosphate (Pi) and guanosine diphosphate (GDP), a reaction catalyzed by the GTPase enzymes (EC 3.6.1.-). The theory behind the experimental design involves using [γ-32P]GTP as a marker, whereby any GTPase-induced hydrolysis will result in the 32P label appearing as 32P, and as unhydrolyzed [γ-32P]GTP. It was originally described by Cassel and Selinger (1). 32P, must be separated from [γ-32P]GTP, and then can be easily quantitated by using a liquid scintillation counter. The amount of 32Pi is directly proportional to the amount of [γ-32P]GTP hydrolyzed, and, therefore, proportional to the activity of GTPases in the preparation.

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 score0.008
Threshold uncertainty score0.358

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 head0.040
GPT teacher head0.247
Teacher spread0.208 · 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

Citations4
Published2003
Admission routes2
Has abstractyes

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