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Record W1970117127 · doi:10.5539/ijb.v2n1p111

In Silicon Cloning and Analysis of a LACS Gene from Glycine Max (L.)

2010· article· en· W1970117127 on OpenAlexvenueno aff
Lili Yu, Xiao‐Li Tan, Weiwei Yuan, Fuge Zhu

Bibliographic record

VenueInternational Journal of Biology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaJiangsu University
KeywordsOpen reading frameGlycineCloning (programming)Isoelectric pointGeneAmino acidBiosynthesisBiochemistryMolecular massMolecular cloningSequence analysisBiologyChemistryMolecular biologyGene expressionPeptide sequenceEnzyme

Abstract

fetched live from OpenAlex

Long chain acyl-coenzyme A synthetases (LACSs) activate free fatty acids to acyl-CoA thioesters, and play importantroles in the biosynthesis and degradation of lipids. In this study, a Glycine max(L.) LACS gene, designated as GmLACS,has been isolated through in silicon cloning. The gene is 2,219 bp with an open reading frame (ORF) of 1,989 bp, whichencodes a LACS with 662 amino acid residues, with the isoelectric point of 6.42 and the calculated molecular mass of65.6 kDa. Sequence analysis showed that GmLACS possessed typical domains of LACSs. Real-time quantitative PCRdata analysis suggested that GmLACS was hightly expressed in leaves and young pods.

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 score0.052
Threshold uncertainty score0.172

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 head0.004
GPT teacher head0.254
Teacher spread0.250 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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