MétaCan
Menu
Back to cohort
Record W2062209188 · doi:10.1016/s0378-1097(03)00127-7

Identification and characterization of a diamide sensitive mutant of<i>Mycobacterium smegmatis</i>

2003· article· en· W2062209188 on OpenAlexafffund
Mamta Rawat, Jennifer Heys, Yossef Av‐Gay

Bibliographic record

VenueFEMS Microbiology Letters · 2003
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsUniversity of British Columbia
FundersBritish Columbia Lung Association
KeywordsMycobacterium smegmatisMutantComplementationBiologyBiochemistryTransposable elementTransposon mutagenesisCloning (programming)Mycobacterium tuberculosisMolecular biologyChemistryGeneTuberculosis

Abstract

fetched live from OpenAlex

A mutant, T7, highly sensitive to oxidative stress as caused by diamide was isolated from a Mycobacterium smegmatis mc(2)155 transposon mutant library. While wild-type M. smegmatis is able to grow well on solid media supplemented with 10 mM diamide, T7 is only able to grow on solid media containing up to 1 mM diamide. This mutant is also sensitive to other thiol modifying agents such as iodoacetamide and chlorodinitrobenzene. By sequencing the genomic DNA flanking the transposon, T7 was found to be mutated in the region upstream of the homolog of M. tuberculosis Rv0274 open reading frame. Sequence analysis revealed that Rv0274 is a member of a superfamily of metalloenzymes comprising enzymes such as extradiol dioxygenases, glyoxalases, and fosfomycin resistant glutathione transferases. Cloning and epichromosomal expression of M. tuberculosis Rv0274 in the mutant resulted in complementation of the sensitivity to diamide.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.001

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 head0.008
GPT teacher head0.232
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueFEMS Microbiology LettersSame topicMycobacterium research and diagnosisFrench-language works237,207