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Record W2020204572 · doi:10.1159/000320268

Determination of <i>Francisella tularensis</i> AcpB Acid Phosphatase Substrate Preferences

2010· article· en· W2020204572 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.

Bibliographic record

VenueMicrobial Physiology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacillus and Francisella bacterial research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFrancisella tularensisFrancisellaThiamineBiochemistryPhosphataseEnzymeSubstrate (aquarium)BiologyMicrobiologyPhosphorylationPathogenIntracellularChemistryVirulenceGene

Abstract

fetched live from OpenAlex

The Francisella species encode 4 main acid phosphatases (Acp) that are potentially involved in pathogenesis through currently unknown mechanisms. Only 2 of these enzymes, AcpA and AcpC, have been biochemically characterized to date. In this work we describe the catalytic properties of Francisella tularensis AcpB utilizing an array of 120 phosphorylated substrates. In contrast to most acid phosphatases, the purified enzyme showed a narrow range of substrate preferences, with the highest affinity towards thiamine phosphate (Km = 150 μM). Francisella species do not possess a thiamine biosynthetic pathway even though vitamin B1 is indispensable in numerous cellular functions. Consequently, thiamine should be incorporated from the environment, in this case, from the host cell. Our results suggested that AcpB could provide the hydrolytic activity necessary to transform the nontransportable phosphorylated vitamin B1 present in tissues to a form that can be absorbed by the intracellular pathogen.

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 score0.029
Threshold uncertainty score0.986

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 studies0.0000.000
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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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