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Record W2419044555 · doi:10.1159/000458677

Characterization of Ribonucleotide Reductase Activity fromMouse L Cells

2017· article· en· W2419044555 on OpenAlexaff
Brian A. Kuzik, Jim Wright

Bibliographic record

VenueEnzyme · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsRibonucleotide reductaseEnzymeGuanosineReductaseSpecific activityChemistryBiochemistryCytidineEnzyme assayGeneProtein subunit

Abstract

fetched live from OpenAlex

We describe some fundamental properties of the cytidine 5'-diphosphate (CDP) and guanosine 5'-diphosphate (GDP) reductase activity from mouse L cells. Both activities increased in a nonlinear fashion at low protein concentrations; this may be due to dissociation of two protein subunits of the enzyme at very low concentrations. CDP reductase activity was greatly stimulated in the presence of ATP and required magnesium and iron for maximum activity. GDP reductase required 2'-deoxythymidine 5'-triphosphate for maximum activity. Also apparent Km values of 0.14 mmol/l for CDP and 0.05 mmol/l for GDP were determined from double reciprocal plots of velocity against substrate concentrations. Activity in extracts of logarithmically growing mouse L cells was very high indicating that attempts to purify the enzyme from this source should be rewarding.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.247
Teacher spread0.236 · 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 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

Citations9
Published2017
Admission routes1
Has abstractyes

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