The role of zinc cluster protein transcription factors in regulating antifungal resistance in pathogenic yeast «Candida glabrata»
Bibliographic record
Abstract
Candida glabrata is an emerging opportunistic fungal pathogen which is the overall second leading contributor after Candida albicans in all candidiasis infections, especially in patients with compromised immune systems, such as patients who suffer from AIDS or have received organ transplants. This study focuses on the transcription factor activity of zinc cluster proteins, which are found only in fungi, and their relationship to antifungal resistance. In contrast to Saccharomyces cerevisiae and to some extent C. albicans, the role and mechanisms of zinc cluster proteins in drug resistance in C. glabrata has not been as thoroughly investigated in depth in the literature. The goal of this study was to generate a panel of deletion strains for putative zinc cluster genes by using a gene deletion strategy, for example in the deletion of MRR1. By using phenotypic assays on the generated knockout strains, insight regarding possible mechanistic relationships between zinc cluster proteins to drug resistance could be obtained.
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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) | 0.001 | 0.000 |
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.
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".