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Record W7066749764

The Impact of Selected Gene Mutations to the Activation and DNA Binding Activity of the Transcription Factor VraR

2018· other· en· W7066749764 on OpenAlexaff

Bibliographic record

VenueYorkSpace (York University) · 2018
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsYork University
Fundersnot available
KeywordsRegulonTranscription factorGenePhosphorylationMutationDNATranscription (linguistics)DNA-binding proteinSignal transduction
DOInot available

Abstract

fetched live from OpenAlex

VraSR two-component system in S. aureus senses bacterial cell wall damage caused by antibiotics (vancomycin or -lactams) and regulates a set of genes. We have undertaken the study of the role of certain amino acids in the function of VraR, which undergo mutation in clinical S. aureus resistant strains and analyzed their effects on the VraSR signal transduction mechanism. In particular, we have looked at the role of Met-13 in VraR phosphorylation induced activation. M13A failure to be activated by phosphorylation resulted in a weaker binding to DNA. Moreover, we investigated VraR E59D, S164P, A113V, and S164A binding activity to the PvraSR by DNase-I footprinting. Finally, in vivo studies on the effects of substitutions of the above residues on the mRNA level of a number of VraSR regulon genes (fmtA, pbp2, and sgtb) provide insights as to how substitutions at certain positions may be beneficial to the S. aureus resistance to antibiotics.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.141
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.196
Teacher spread0.167 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

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