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Record W2791046952 · doi:10.1073/pnas.1717015115

IpdAB, a virulence factor in <i>Mycobacterium tuberculosis</i> , is a cholesterol ring-cleaving hydrolase

2018· article· en· W2791046952 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

VenueProceedings of the National Academy of Sciences · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSteroid Chemistry and Biochemistry
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchGovernment of CanadaHoward Hughes Medical Institute
KeywordsVirulenceMycobacterium tuberculosisVirulence factorSteroidHydrolaseRing (chemistry)BacteriaChemistryMicrobiologyBiologyBiochemistryStereochemistryEnzymeTuberculosisGeneGeneticsMedicine

Abstract

fetched live from OpenAlex

Significance All steroid-degrading bacteria utilize IpdAB, a predicted CoA transferase (CoT) that has been implicated in the hydrolysis of a carbon–carbon bond, an unprecedented reaction in CoTs. In Mycobacterium tuberculosis , IpdAB is required for degrading host cholesterol and virulence. We used a combination of X-ray crystallographic and biochemical studies to elucidate the mechanism of IpdAB. Superposition of the IpdAB Mtb active site with those of CoTs reveals distinct architectural features which, in conjunction with the biochemical data, indicate that IpdAB catalyzes a retro-Claisen-like ring-opening reaction. This reaction is unique for a member of the CoT superfamily. This study provides insights into bacterial steroid catabolism and facilitates the development of potential antituberculosis therapeutics targeting IpdAB.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.282
Teacher spread0.262 · 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