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Record W1932059253 · doi:10.1139/bcb-2012-0096

Identification of cystathionine γ-synthase and threonine synthase from <i>Cicer arietinum</i> and <i>Lens culinaris</i>

2012· article· en· W1932059253 on OpenAlexafffundvenue
Dominique J.K. Morneau, Allison F. Jaworski, Susan M. Aitken

Bibliographic record

VenueBiochemistry and Cell Biology · 2012
Typearticle
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsCarleton University
FundersAgriculture and Agri-Food CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsCystathionine beta synthaseThreonineBiochemistryBiologyATP synthaseMethionineEnzymeMethionine synthaseAmino acidSerine

Abstract

fetched live from OpenAlex

In plants, cystathionine γ-synthase (CGS) and threonine synthase (TS) compete for the branch-point metabolite O-phospho-L-homoserine. These enzymes are potential targets for metabolic engineering studies, aiming to alter the flux through the competing methionine and threonine biosynthetic pathways, with the goal of increasing methionine production. Although CGS and TS have been characterized in the model organisms Escherichia coli and Arabidopsis thaliana, little information is available on these enzymes in other, particularly plant, species. The functional CGS and TS coding sequences from the grain legumes Cicer arietinum (chickpea) and Lens culinaris (lentil) identified in this study share approximately 80% amino acid sequence identity with the corresponding sequences from Glycine max. At least 7 active-site residues of grain legume CGS and TS are conserved in the model bacterial enzymes, including the catalytic base. Putative processing sites that remove the targeting sequence and result in functional TS were identified in the target species.

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 score0.439

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 head0.220
Teacher spread0.213 · 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

Citations3
Published2012
Admission routes3
Has abstractyes

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