PDZ domain from Dishevelled -- a specificity study.
Bibliographic record
Abstract
Intracellular signaling cascades induced by Wnt proteins play a key role in developmental processes and are implicated in cancerogenesis. It is still unclear how the cell determines which of the three possible Wnt response mechanisms should be activated, but the decision process is most likely dependent on Dishevelled proteins. Dishevelled family members interact with many diverse targets, however, molecular mechanisms underlying these binding events have not been comprehensively described so far. Here, we investigated the specificity of the PDZ domain from human Dishevelled-2 using C-terminal phage display, which led us to identification of a leucine-rich binding motif strongly resembling the consensus sequence of a nuclear export signal. PDZ interactions with several peptide and protein motifs (including the nuclear export signal sequence from Dishevelled-2 protein) were investigated in detail using fluorescence spectroscopy, mutational analysis and immunoenzymatic assays. The experiments showed that the PDZ domain can bind the nuclear export signal sequence of the Dishevelled-2 protein. Since the intracellular localization of Dishevelled is governed by nuclear localization and nuclear export signal sequences, it is possible that the intramolecular interaction between PDZ domain and the export signal could modulate the balance between nuclear and cytoplasmic pool of the Dishevelled protein. Such a regulatory mechanism would be of utmost importance for the differential activation of Wnt signaling cascades, leading to selective promotion of the nucleus-dependent Wnt β-catenin pathway at the expense of non-canonical Wnt signaling.
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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 | 0.000 |
| 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) | 0.002 | 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".