MétaCan
Menu
Back to cohort
Record W2089586306 · doi:10.1039/c3np70060g

The role of transcription in heterologous expression of polyketides in bacterial hosts

2013· review· en· W2089586306 on OpenAlex
D. Cole Stevens, Taylor P. A. Hari, Christopher N. Boddy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNatural Product Reports · 2013
Typereview
Languageen
FieldMedicine
TopicMicrobial Natural Products and Biosynthesis
Canadian institutionsOntario GenomicsUniversity of Ottawa
Fundersnot available
KeywordsHeterologousHeterologous expressionPromoterBiologyComputational biologyGeneGene clusterTranscription factorTranscription (linguistics)GeneticsSynthetic biologyPolyketideGene expressionBiosynthesisRecombinant DNA

Abstract

fetched live from OpenAlex

Heterologous expression of biosynthetic pathways is an indispensable tool in the discovery, production, engineering, and characterization of bacterial polyketides and the complex enzymology involved in their biosynthesis. Ensuring transcription of polyketide biosynthetic gene clusters in heterologous hosts is a pressing problem. This review evaluates the two strategies used to ensure transcription. The first is a promoter replacement approach where promoters known to function in the heterologous host are inserted into the biosynthetic gene cluster. The second is an approach that relies on the heterologous host recognizing and utilizing promoters native to the gene cluster. Both have been successful methodologies and have different strengths and weaknesses, which are highlighted and discussed.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.723
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.278
Teacher spread0.262 · 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