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Record W2113595134 · doi:10.1139/w07-102

Identification of iron-regulated cellular proteins, Fe<sup>3+</sup>-reducing and -chelating compounds, in the white-rot fungus Perenniporia medulla-panis

2007· article· en· W2113595134 on OpenAlexvenueno aff
Valdeir Arantes, Adriane M. F. Milagres

Bibliographic record

VenueCanadian Journal of Microbiology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsnot available
Fundersnot available
KeywordsExtracellularBiochemistryCatecholIncubationChemistryCell growthChelationBiology

Abstract

fetched live from OpenAlex

In this paper, we present the responses of the white-rot fungus Perenniporia medulla-panis to iron availability with regard to alterations in growth, expression of cellular proteins, Fe3+-reducing activity, and Fe3+ chelators production. Iron supplementation stimulated fungal growth but did not result in a significant increase in biomass production. Catechol and hydroxamate derivatives were produced mainly under iron deficiency, and their productions were repressed under iron supplementation conditions. Perenniporia medulla-panis showed several cellular proteins in the range of 10-90 kDa. Some of them showed negative iron-regulation. Iron-supplemented medium also repressed both cell surface and extracellular Fe3+-reducing activities; however, the highest cell surface activity was detected at the initial growth phase, whereas extracellular activity increased throughout the incubation period. No significant production of chelators and extracellular Fe3+-reducing activity were observed within the initial growth phase, suggesting that the reduction of Fe3+ to Fe2+ is performed by ferrireductases.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.012
GPT teacher head0.197
Teacher spread0.185 · 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

Citations4
Published2007
Admission routes1
Has abstractyes

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