Poly(2-oxazoline)–Pterostilbene Block Copolymer Nanoparticles for Dual-Anticancer Drug Delivery
Bibliographic record
Abstract
Functional block copolymers based on poly(2-oxazoline)s are versatile building blocks for the fabrication of dual-drug delivery nanoparticles (NPs) for anticancer chemotherapy. Core-shell NPs are fabricated from diblock copolymers featuring a long and hydrophilic poly(2-methyl-2-oxazoline) (PMOXA) block coupled to a relatively short and functionalizable poly(2-methylsuccinate-2-oxazoline) (PMestOXA) segment. The PMOXA block stabilizes the NP dispersions, whereas the PMestOXA segment is used to conjugate pterostilbene, a natural bioactive phenolic compound that is used as lipophilic model-drug and constitutes the hydrophobic core of the designed NPs. Subsequent loading of the NPs with clofazimine (CFZ), an inhibitor of the multidrug resistance pumps typically expressed in a large variety of cancer cells, provides an additional function to their formulation. Optimization of the copolymer composition allows the design of polymer scaffolds showing low toxicity and capable of assembling into highly stable NPs dispersions at physiologically relevant pH. In addition, the incorporation of CFZ increases the stability of the NPs and stimulates their internalization by RAW 264.7 cells.
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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) | 0.001 | 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".