Transcriptional Activation Domains of the <i>Candida albicans</i> Gcn4p and Gal4p Homologs
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".