Synthesis and pharmacokinetic study of poly(ethylene oxide) triazole dendrimers decorated with aminosteroids as anticancer agent
Bibliographic record
Abstract
ABSTRACT The use of new aminosteroids has shown increased therapeutic efficiency on multiple cancer cell lines. Those molecules are, however, highly hydrophobic, leading to bad pharmacokinetic properties. Dendrimers are excellent candidates to improve PK, especially for absorption and distribution, since their structure can be designed to be water‐soluble. We have the capacity to tailor the particle's size to allow high‐loading capacity. In this article, we managed to enhance aqueous solubility of the aminosteroid AH‐38 by grafting on three generations of poly(ethylene oxide) triazole dendrimers to reach high drug loading values (w/w %). In vitro and in vivo studies were conducted and showed interesting results, such as increased plasma concentration of the free aminosteroid with G1 and G2 nanocarriers over the AH‐38 administrated as a free drug. © 2020 Wiley Periodicals, Inc. J. Polym. Sci. 2020, 58, 654–661
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) | 0.000 | 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".