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Record W2066173648 · doi:10.1021/bp060135u

High‐Level Gene Expression for Recombinant Penicillin Acylase Production Using the <i>araB</i> Promoter System in <i>Escherichia coli</i>

2006· article· en· W2066173648 on OpenAlexafffund
Niju Narayanan, Yali Xu, C. Perry Chou

Bibliographic record

VenueBiotechnology Progress · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaDepartment of Education of Guangdong Province
KeywordsEscherichia coliRecombinant DNAGeneLysisBiologyGene expressionChaperone (clinical)ArabinoseMicrobiologyChemistryMolecular biologyFermentationBiochemistryXylose

Abstract

fetched live from OpenAlex

The pac gene encoding penicillin acylase (PAC) was overexpressed under the regulation of the araB promoter (ParaB, also known as PBAD) in Escherichia coli (E. coli). The current ParaB expression system exhibited minimum leaking pac expression in the absence of arabinose as well as fast and high-level pac expression upon induction with arabinose in a wide concentration range. The production of PAC was limited by the accumulation of PAC precursors (i.e., proPAC in both soluble and insoluble forms) and various negative cellular responses, such as growth arrest and cell lysis. The culture performance could be improved by degP coexpression and the individual contribution of DegP protease and chaperone activities to the enhancement on the production of PAC was characterized. The study highlights the importance of identifying the step(s) limiting high-level gene expression and subsequent design and construction of the host/vector system for enhancing recombinant protein production in E. coli.

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 score0.005
Threshold uncertainty score0.800

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 integrity0.0010.000
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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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

Citations14
Published2006
Admission routes2
Has abstractyes

Explore more

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