Characterization of a family of yeast transcriptional regulators : the zine cluster proteins
Bibliographic record
Abstract
Members of the zinc cluster (or binuclear cluster) protein family are characterized by a Zn(II)Cys6 zinc finger involved in DNA recognition and binding. These fungal proteins are transcriptional regulators of genes involved in a wide variety of cellular processes. One member, Gal4p, is involved in galactose metabolism, while others play a major role in primary and secondary metabolism, control of meiosis, and multidrug resistance. Sequencing of the Saccharomyces cerevisiae genome has revealed that 55 genes encoding putative zinc cluster proteins are present in budding yeast. However, the roles of many of these zinc cluster proteins are unknown. In order to better understand their functions, we have performed a phenotypic analysis of these putative zinc cluster proteins. We have implicated a number of them in a variety of processes in the cell, including multidrug resistance. Stb5p has been shown to be a major player in regulating the expression of multidrug resistance genes. Other zinc cluster activators of multidrug resistance genes include Pdr1p, Pdr3p, and Yrr1p. These regulators of multidrug resistance appear to interact with each other, forming many different sub-populations of homo- and heterodimers. Stb5p is found predominantly as a heterodimer with Pdr1p. It also appears that Pdr1p is a master regulator able to interact with many different partners, enabling it to mediate control over multidrug resistance genes.
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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".