Dephosphorylation Targeting Chimaera (DEPTAC): Targeting Tau Proteinsin Tauopathies
Bibliographic record
Abstract
One salient hallmark of neurodegeneration is the accumulation of toxic protein aggregates in neuronal cells. This proteotoxicity culminates in the deterioration of neuronal function. In AD and related tauopathies, the microtubule-associated protein tau becomes hyperphosphorylated. Hyperphosphorylated tau forms neurofibrillary tangles (NFTs) within neurons, which constitute a unique feature of tauopathies, including AD. A recent study has exploited a novel molecular strategy to counteract hyperphosphorylated tau and enhance its degradation. Analogous to the PROTAC methodology, a novel dephosphorylation targeting chimera (DEPTAC) was designed to promote the molecular interaction between tau and phosphatase, which, in turn, augments its degradation. Herein, we briefly discuss this novel finding and its potential therapeutic implications.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".