Bibliographic record
Abstract
NAP (davunetide) is an eight amino acid peptide (NAPVSIPQ) that has been shown to provide potent neuroprotection, in vitro and in vivo. In human clinical trials, NAP has been shown to increase memory scores in patients suffering from amnestic mild cognitive impairment, a precursor to Alzheimer's disease and to enhance functional daily behaviors in schizophrenia patients. NAP is derived from activity-dependent neuroprotective protein (ADNP) a molecule that is essential for brain formation, interacting with chromatin associated protein alpha and the chromatin remodeling complex SWI/SNF and regulating >400 genes during embryonic development. Partial loss in ADNP results in cognitive deficits and pathology of the microtubule associated protein tau (tauopathy) that is ameliorated in part by NAP replacement therapy. Recent studies increased the scope of NAP neuroprotection and provided further insights into the NAP mechanisms of action. Thus, it has been hypothesized that the presence of tau on axonal microtubules renders them notably less sensitive to the microtubule-severing protein katanin, and NAP was shown to protect microtubules from katanin disruption in the face of reduced tau expression. Parallel studies showed that NAP reduced the number of apoptotic neurons through activation of PI-3K/Akt pathway in the cortical plate or both PI-3K/Akt and MAPK/MEK1 kinases in the white matter. The interaction of these disparate yet complementary pathways is the subject of future studies toward human brain neuroprotection in the clinical scenario.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".