MétaCan
Menu
Back to cohort
Record W2017949248 · doi:10.1110/ps.073047807

Optimization of the inefficient translation initiation region of the <i>cpxP</i> gene from <i>Escherichia coli</i>

2007· article· en· W2017949248 on OpenAlexfundno aff
Marika Miot, Jean‐Michel Betton

Bibliographic record

VenueProtein Science · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsnot available
FundersCentre National de la Recherche ScientifiqueAgence Nationale de la RechercheInstitut national de la recherche scientifique
KeywordsEscherichia coliTranslation (biology)Escherichia coli ProteinsGeneGeneticsEukaryotic translationBiologyPhysicsComputational biologyMessenger RNA

Abstract

fetched live from OpenAlex

The Escherichia coli Cpx envelope stress system is comprised of three proteins; the periplasmic regulatory CpxP, the inner membrane sensor kinase CpxA, and the cytoplasmic transcriptional activator CpxR. Although misfolded envelope proteins activate the Cpx system, the molecular mechanism by which this signal is sensed remains largely unknown. In an attempt to reconstitute the Cpx system from purified proteins, we failed to produce the small CpxP protein in its natural periplasmic compartment, but a high protein level was achieved when it was produced in the cytoplasm. Silent base mutations in the first codons of the cpxP gene encoding the signal sequence or substitution by two well-characterized signal sequences, those of MalE and DsbA, resulted in a large increase of the CpxP level in the periplasm. Our results support the hypothesis that periplasmic expression could be inhibited by sequence elements in the early coding signal sequence region of cpxP.

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)0.001
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 score0.190
Threshold uncertainty score0.197

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.230
Teacher spread0.215 · 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

Citations9
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueProtein ScienceSame topicRNA and protein synthesis mechanismsFrench-language works237,207