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Record W2113627544 · doi:10.1128/ec.00183-06

Transcriptional Activation Domains of the <i>Candida albicans</i> Gcn4p and Gal4p Homologs

2006· article· en· W2113627544 on OpenAlexaff
Mikhail Martchenko, Anastasia Levitin, Malcolm Whiteway

Bibliographic record

VenueEukaryotic Cell · 2006
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsBiotechnology Research InstituteMcGill University
Fundersnot available
KeywordsSaccharomyces cerevisiaeBiologyCandida albicansTranscription factorTranscription (linguistics)DNA-binding domainGeneticsYeastGene

Abstract

fetched live from OpenAlex

Many putative transcription factors in the pathogenic fungus Candida albicans contain sequence similarity to well-defined transcriptional regulators in the budding yeast Saccharomyces cerevisiae, but this sequence similarity is often limited to the DNA binding domains of the molecules. The Gcn4p and Gal4p proteins of Saccharomyces cerevisiae are highly studied and well-understood eukaryotic transcription factors of the basic leucine zipper (Gcn4p) and C(6) zinc cluster (Gal4p) families; C. albicans has C. albicans Gcn4p (CaGcn4p) and CaGal4p with DNA binding domains highly similar to their S. cerevisiae counterparts. Deletion analysis of the CaGcn4p protein shows that the N' terminus is needed for transcriptional activation; an 81-amino-acid region is critical for this function, and this domain can be coupled to a lexA DNA binding module to provide transcription-activating function in a heterologous reporter system. Deletion analysis of the C. albicans Gal4p identifies a C-terminal 73-amino-acid-long transcription-activating domain that also can be transferred to a heterologous reporter construct to direct transcriptional activation. These two transcriptional activation regions show no sequence similarity to the respective domains in their S. cerevisiae homologs, and the two C. albicans transcription-activating domains themselves show little similarity.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.253

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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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 designObservational
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

Citations26
Published2006
Admission routes1
Has abstractyes

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