MétaCan
Menu
Back to cohort
Record W2170178594 · doi:10.1515/znc-2007-1-213

Effect of Copper on Acid Phosphatase Activity in Yeast Yarrowia lipolytica

2007· article· en· W2170178594 on OpenAlexfundno aff
Hiroyasu Ito, Masahiro Inouhe, Hiroshi Tohoyama, Masanori Joho

Bibliographic record

VenueZeitschrift für Naturforschung C · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsYarrowiaDerepressionAcid phosphataseYeastPhosphateEnzymeBiochemistryPolyphosphateChemistryCopperPhosphataseEnzyme assayGeneGene expressionOrganic chemistry

Abstract

fetched live from OpenAlex

Acid phosphatase (APase) activity of the yeast Yarrowia lipolytica increased with increasing Cu2+ concentrations in the medium. Furthermore, the enzyme in soluble form was stimulated in vitro by Cu2+, Co2+, Ni2+, Mn2+ and Mg2+ and inhibited by Ag+ and Cd2+. The most effective ion was Cu2+, especially for the enzyme from cultures in medium containing Cu2+, whereas APase activity in wall-bound fragments was only slightly activated by Cu2+. The content of cellular phosphate involving polyphosphate was decreased by adding Cu2+, regardless of whether or not the medium was rich in inorganic phosphate. Overproduction of the enzyme stimulated by Cu2+ might depend on derepression of the gene encoding the APase isozyme.

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)0.001
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 score0.028
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.003
GPT teacher head0.257
Teacher spread0.253 · 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 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

Citations15
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueZeitschrift für Naturforschung CSame topicMicrobial Metabolic Engineering and BioproductionFrench-language works237,207