Functional interaction of 13 yeast SCF complexes with a set of yeast E2 enzymes in vitro
Bibliographic record
Abstract
SCF complexes are multi-subunit ubiquitin ligases that, in concert with the E1 and E2 ubiquitination enzymes, catalyze the ubiquination of specific target proteins. Only three yeast SCFs have been reconstituted and characterized to date; each of these ubiquitinates its target protein with the E2 Cdc34. We have reconstituted and purified 1 known and 12 novel yeast SCF complexes, and explored the ability of these complexes to function with 5 different purified E2 enzymes; Ubc1, Cdc34, Ubc4, Ubc8 and Ubc11. We have found that the ubiquitination of Sic1 by the reconstituted SCF(Cdc4) complex was specifically catalyzed by two of the five E2 enzymes tested in vitro; Cdc34 and Ubc4. We also show that at least eight of the purified SCF complexes clearly ubiquitinated their F-box proteins in vitro, lending support for a regulatory mechanism in which F-box proteins catalyze their own destruction. The autoubiquitination of each F-box was in some cases catalyzed only by Cdc34, and in other cases preferentially catalyzed by Ubc4. Ubc4 thus interacts with multiple SCFs in vitro, and the interactions among SCF and E2 components of the ubiquitination machinery may allow further diversification of the roles of SCFs in vivo.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".