Structural studies on 14-3-3ζ: Compounds that target the dimer interface
Bibliographic record
Abstract
14-3-3 proteins are a highly conserved family of dimeric phospho-serine binding proteins that modulate the functions of key cellular proteins involved in signaling. 14-3-3ζ plays a prominent role in signaling pathways leading to inhibition of apoptosis, sequestration of tumor suppressor proteins and activation of signalling pathways that promote growth. 14-3-3ζ expression is up-regulated in many human cancers and associated with enhanced survival of cancer cells. The significant association of 14-3-3ζ over expression with disease recurrence and chemo-resistance makes this protein an attractive candidate for anti-cancer therapy. The anti-apoptotic activity of 14-3-3ζ is entirely dependent on the dimeric state of the protein. Our studies have shown that 14-3-3ζ activity is regulated by sphingosine and other lipid analogs that render 14-3-3 phosphorylatable, disrupting its dimeric state thereby leading to apoptosis [1]. Structural studies and mutagenesis on 14-3-3ζ confirm that the dimeric state of 14-3-3ζ is stabilized by salt bridges that form across the dimer interface. Based on this we have carried out an in silico screen of a virtual library of drug-like small molecules to identify compounds that bind to the dimer interface of 14-3-3ζ. Candidate small molecules have been assessed for their ability to render 14-3-3ζ phosphorylatable in vitro and consequently we have identified a family of small molecules with 14-3-3ζ dimer-destabilizing properties. These small molecules induce apoptosis in leukemic cells by activating apoptotic mediators known to be regulated by dimeric 14-3-3. We have recently solved the crystal structure of 14-3-3ζ with one of our hit compounds bound at the dimer interface. Our results suggest that relatively small perturbations at the dimer interface, can destabilize the salt bridges that hold 14-3-3 dimers together, thus providing a novel approach to targeting 14-3-3 proteins for therapeutic benefit.
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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 | 0.001 | 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".