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Record W2050097902 · doi:10.3109/07388551.2011.593503

Advances in directed molecular evolution of reporter genes

2011· review· en· W2050097902 on OpenAlex

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

VenueCritical Reviews in Biotechnology · 2011
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsAlberta Innovates
Fundersnot available
KeywordsDirected evolutionReporter geneComputational biologyDNA shufflingGeneBiologyDirected Molecular EvolutionTransgeneFunction (biology)Molecular evolutionGreen fluorescent proteinGeneticsGenomeGene expressionMutant

Abstract

fetched live from OpenAlex

Many reporter genes, such as gfp, gusA, and lacZ, are widely used for research into plants, animals, and microorganisms. Reporter genes, which offer high levels of sensitivity and convenience of detection, have been utilized in transgenic technology, promoter analysis, drug screening, and other areas. Directed molecular evolution is a powerful molecular tool for the creation of designer proteins for industrial and research applications, including studies of protein structure and function. Directed molecular evolution is based mainly on in vitro recombination methods, such as error-prone PCR and DNA shuffling. The strategies of directed evolution of enzyme biocatalysts have been the subject of several recent reviews. Here, we briefly summarize successes in the field of directed molecular evolution of reporter genes and discuss some of the applications.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
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 head0.022
GPT teacher head0.383
Teacher spread0.361 · 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