A synthetic peptide corresponding to a region of the human pericentriolar material 1 (<scp>PCM</scp>‐1) protein binds β‐amyloid (Aβ<sub>1‐42</sub>) oligomers
Bibliographic record
Abstract
We have recently reported that a ~19-kDa polypeptide, rPK-4, is a protein kinase Cs inhibitor that is 89% homologous to the 1171-1323 amino acid region of the 228-kDa human pericentriolar material-1 (PCM-1) protein (Chakravarthy et al. 2012). We have now discovered that rPK-4 binds oligomeric amyloid-β peptide (Aβ)1-42 with high affinity. Most importantly, a PCM-1-selective antibody co-precipitated Aβ and amyloid β precursor protein (AβPP) from cerebral cortices and hippocampi from AD (Alzheimer's disease) transgenic mice that produce human AβPP and Aβ1-42 , suggesting that PCM-1 may interact with amyloid precursor protein/Aβ in vivo. We have identified rPK-4's Aβ-binding domain using a set of overlapping synthetic peptides. We have found with ELISA, dot-blot, and polyacrylamide gel electrophoresis techniques that a ~ 5 kDa synthetic peptide, amyloid binding peptide (ABP)-p4-5 binds Aβ1-42 at nM levels. Most importantly, ABP-p4-5, like rPK-4, appears to preferentially bind Aβ1-42 oligomers, believed to be the toxic AD-drivers. As expected from these observations, ABP-p4-5 prevented Aβ1-42 from killing human SH-SY5Y neuroblastoma cells via apoptosis. These findings indicate that ABP-p4-5 is a possible candidate therapeutic for AD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.001 |
| 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) | 0.002 | 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".