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Record W2079225705 · doi:10.1139/w00-113

Identification of DNA sequences that regulate the expression of the<i>Enterobacter cloacae</i>UW4 1-aminocyclopropane-1-carboxylic acid deaminase gene

2000· article· en· W2079225705 on OpenAlexafffundvenue
Varvara P. Grichko, Bernard R. Glick

Bibliographic record

VenueCanadian Journal of Microbiology · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLegume Nitrogen Fixing Symbiosis
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaFonds De La Recherche Scientifique - FNRSGovernment of Ontario
KeywordsEnterobacter cloacaeBiologycAMP receptor proteinBiochemistryEscherichia coliGeneEnterobacter1-Aminocyclopropane-1-carboxylic acidRegulator geneMolecular biologyGene expressionEnterobacteriaceaePromoterBiosynthesis

Abstract

fetched live from OpenAlex

Analysis of the DNA sequence upstream of the previously isolated Enterobacter cloacae UW4 ACC deaminase gene (Shah et al. 1998) suggests that this segment contains several features that are thought to be involved in the transcriptional regulation of this gene. These features include half of a CRP (cAMP receptor protein) binding site, an FNR (fumarate-nitrate reduction) regulatory protein binding site, an LRP (leucine responsive regulatory protein) binding site, and an LRP-like protein coding region. ACC deaminase activity was measured following growth of either various Escherichia coli strains carrying a plasmid that contained the Enterobacter cloacae UW4 ACC deaminase gene, or of Enterobacter cloacae UW4. Variables that were compared include aerobic versus anaerobic conditions, the presence and absence of ACC in the growth medium, addition of leucine to the medium, and bacterial strains that did or did not contain either lrp or fnr genes. The data reported are consistent with the involvement of most, if not all, of the above mentioned potential regulatory regions in the expression of ACC deaminase.

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 score0.057
Threshold uncertainty score0.605

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.183
Teacher spread0.172 · 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

Citations61
Published2000
Admission routes3
Has abstractyes

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