Additional file 1 of Proteomic analysis revealed the roles of YRR1 deletion in enhancing the vanillin resistance of Saccharomyces cerevisiae
Bibliographic record
Abstract
Additional file 1: Table S1. Yeast strains used in this study. Table S2. List of primers used for plasmids and strain construction in this work. Figure S1. Influence of vanillin stress on KEGG pathway enrichment of down-regulated DEPs in CEN.PK2-1C background strains. Greater RichFactor indicates a greater effect of vanillin on the analyzed pathway. Figure S2. Influence of vanillin stress on KEGG pathway enrichment of upregulated DEPs in CEN.PK2-1C background strains. Greater RichFactor indicates a greater effect of vanillin on the analyzed pathway. Figure S3. Growth curve of overexpression of RTC3, HSP12 in presence of 6 mmol L−1 vanillin. BY4741(pJFE3) and BY4741(yrr1Δ, pJFE3) are the controls. Data are presented as the means ± standard errors of independent triplicate experiments. Figure S4. Growth curve of strains overexpressing translation related proteins encoding genes CAF20, LSM5, CGR1, GIS2, TIF11 cultured in SC-URA with 6 mmol L−1 vanillin. BY4741(pJFE3) and BY4741(yrr1Δ, pJFE3) are the controls. Data are presented as the means ± standard errors of independent triplicate experiments. Figure S5. Spot growth of BY4741(yrr1Δ) with different inhibitors.
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 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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.787 | 0.162 |
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".