3-Hydroxy-4-pyridinone derivatives as metal ion and amyloid binding agents
Bibliographic record
Abstract
Metal ions have been implicated in several neurodegenerative diseases, including Alzheimer's disease, as their dyshomeostasis may lead to production of reactive oxygen species as well as increased toxicity of amyloid protein aggregates. In this work, we present design and synthesis of three novel multifunctional hydroxypyridinone ligands, HL11, HL12, and HL13, bearing benzothiazole and benzoxazole functionalities. We study the ability of these compounds to bind metal ions Cu(ii), Zn(ii), and Fe(iii), as well as their antioxidant activity and cytotoxicity. Additionally, we determine the pro-ligands' (compounds prior to chelation) propensity to target amyloid protein. Through these studies we determine the effect of combining amyloid- and metal-binding functionalities within the HPO scaffold on different aspects of AD pathology. Three rationally designed benzothiazole and benzoxazole 3-hydroxy-4-pyridinone derivatives are evaluated for their ability to bind metal ions and the amyloid-beta protein.
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) | 0.000 | 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) | 0.001 | 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".