Binding of disordered proteins to a protein hub
Bibliographic record
Abstract
A small number of proteins, called hubs, have high connectivity and are essential for interactome functionality and integrity. Keap1 is a crucial hub in the oxidative stress response and apoptosis. The Kelch domain of Keap1 preferentially binds to disordered regions of its partners, which share similar binding motifs, but have a wide range of binding affinities. Isothermal titration calorimetry (ITC) and multi-microsecond molecular dynamics (MD) simulations were used to determine the factors that govern the affinity of all currently known disordered binding partners to Kelch. Our results show that the affinities to this hub are largely determined by the extent of preformed bound state-like conformation in the free state structures of these disordered targets. Based on our findings, we have designed a high-affinity peptide that can specifically disrupt the Keap1-NRF2 interaction and has the potential for therapeutic applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".