The Effect of Intrachain Electrostatic Repulsion on Conformational Disorder and Dynamics of the Sic1 Protein
Bibliographic record
Abstract
The yeast cyclin-dependent kinase inhibitor Sic1 is a disordered protein that, upon multisite phosphorylation, forms a dynamic complex with the Cdc4 subunit of an SCF ubiquitin ligase. To understand the multisite phosphorylation dependence of the Sic1:Cdc4 interaction, which ultimately leads to a sharp cell cycle transition, the conformational properties of the disordered Sic1 N-terminal targeting region were studied using single-molecule fluorescence spectroscopy. Multiple conformational populations with different sensitivities to charge screening were identified by performing experiments in nondenaturing salts and ionic denaturants. Both the end-to-end distance and the hydrodynamic radius decrease monotonically with increasing the salt concentration, and a rollover of the chain dimensions in high denaturant conditions is observed. The data were fit to the polyelectrolyte binding-screening model, yielding parameters such as the excluded volume of the uncharged chain and the binding constant to denaturant. An overall scaling factor of ∼1.2 was needed for fitting the data, which implies that Sic1 cannot be approximated by a random Gaussian chain. Fluorescence correlation spectroscopy reveals Sic1 structure fluctuations occurring on both fast (10-100 ns) and slow (∼10 ms) time scales, with the fast phase absent in low salt solutions. The results of this study provide direct evidence that long-range intrachain electrostatic repulsions are a significant factor for the conformational landscape of Sic1, and support the role of electrostatics in determining the overall shape and hydrodynamic properties of intrinsically disordered proteins.
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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 | 0.001 |
| 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) | 0.000 | 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".