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Record W1531138759 · doi:10.1002/0471140864.ps2909s76

Expression and Purification of <i>Haemophilus influenzae</i> Rhomboid Intramembrane Protease GlpG for Structural Studies

2014· review· en· W1531138759 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Protocols in Protein Science · 2014
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsRhomboidProteasesProteaseHaemophilus influenzaeTransmembrane proteinCleaveBiochemistryAffinity chromatographyChemistryBiologyEnzyme

Abstract

fetched live from OpenAlex

Rhomboid proteases are membrane-embedded proteases that cleave peptide bonds of transmembrane proteins. They play a variety of roles in cell signaling events. The rhomboid protease GlpG from Haemophilus influenzae (hiGlpG) is a canonical form of rhomboid protease having six transmembrane segments. In this unit, detailed protocols are presented for optimization of hiGlpG expression using the araBAD promotor system in the pBAD vector. The parameters for optimization include concentration of inducing agent, induction temperature, and time. Optimization of these key factors led to the development of a protocol yielding 1.6 to 2.5 mg/liter protein purified after ion metal affinity chromatography (IMAC). Further purification can include size exclusion chromatography (SEC).

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.786
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.080
GPT teacher head0.416
Teacher spread0.336 · 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