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Record W2029874728 · doi:10.1586/eri.12.90

WhiB7, a transcriptional activator that coordinates physiology with intrinsic drug resistance in<i>Mycobacterium tuberculosis</i>

2012· review· en· W2029874728 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

VenueExpert Review of Anti-infective Therapy · 2012
Typereview
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsRegulonMycobacterium tuberculosisTuberculosisDrug resistanceAntibioticsMicrobiologyBiologyTranscription factorCell envelopeEffluxActivator (genetics)GeneGeneticsMedicineEscherichia coli

Abstract

fetched live from OpenAlex

Current tuberculosis treatment regimens are notoriously limited, lengthy and becoming increasingly ineffective due to the emergence of drug-resistant mutant strains of Mycobacterium tuberculosis. The intrinsic resistance of M. tuberculosis to the majority of available drugs relies both on the impermeability of its cell envelope, and its ability to activate specific genes and physiological states. WhiB7 is a transcriptional regulatory protein underlying this adaptive process. Transcription of the whiB7 gene is upregulated in response to a variety of antibiotics having different structures and targets, as well as in response to metabolic signals. The whiB7 regulon activates various systems of intrinsic drug resistance involving antibiotic export, antibiotic inactivation (by chemical modifications of the drug or its target) and significant changes to thiol redox balance. Drugs have been identified that inactivate resistance determinants in the whiB7 regulon, thereby potentiating the activities of diverse antibiotics against M. tuberculosis.

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)0.000
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 score0.875
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.362
Teacher spread0.318 · 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