Profiling of p5, a 24 Amino Acid Inhibitory Peptide Derived from the CDK5 Activator, p35 CDKR1 Against 70 Protein Kinases
Bibliographic record
Abstract
Cyclin-dependent kinase 5 (CDK5) is a multifunctional serine/threonine kinase that regulates a large number of neuronal processes essential for nervous system development and function with its activator p35 CDK5R1. Upon neuronal insults, p35 is proteolyzed and cleaved to p25 producing deregulation and hyperactivation of CDK5 (CDK5/p25), implicated in tau hyperphosphorylation, a pathology in some neurodegenerative diseases. A truncated, 24 amino acid peptide, p5, derived from p35 inhibits the deregulated CDK5 phosphotransferase activity and ameliorates Alzheimer's disease (AD) phenotypes in AD model mice. In the present study, we have screened a diverse panel of 70 human protein kinases for their sensitivities to p5, and a subset of these to p35. At least 16 of the tested protein kinases exhibited IC50 values that were 250 μM or less, with CAMK4, ZAP70, SGK1, and PIM1 showing greater sensitivity to inhibition by p5 than CDK5/p35 and CDK5/p25. In contrast, the p5 peptide modestly activated LKB1 and GSK3β. A sub set of kinases screened against p35 showed that activity of CAMK4 in the absence of calcium and calmodulin was also markedly inhibited by p35. The Cyclin Y-dependent kinases PFTK1 (CDK14) and PCTK1 (CDK16) were activated by p35 at least 10-fold in the absence of Cyclin Y and by approximately 50% in its presence. These findings provide additional insights into the mechanisms of action for p5 and p35 in the regulation of protein phosphorylation in the nervous system.
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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) | 0.000 | 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 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".