Bibliographic record
Abstract
One third of drugs in development are water insoluble, and one half of all drugs fail in trials because of poor pharmacokinetics. Block copolymer micelles are nanosized particles that can solubilize hydrophobic drugs and coincidentally alter their kinetics in vitro and in vivo. In using such micelles it is important that the drug is not lost due to premature vehicle disassembly and that its effectiveness is not diminished by unfavorable distribution of the micelles. Disintegration of micelles depends on a number of environmental conditions, with consequent variation in drug release rates; these rates, however, are always faster than those which occur by simple diffusion from intact micelles. When these thesis studies began no data was available on integrity of micelles in cells and in vivo, and in vitro studies of distribution of micelles were scarce. This thesis begins by providing a detailed account of the distribution of model block copolymer micelles in live cells using fluorescent-labeled polymer and confocal microscopy. Next, the evidence for endocytosis of micelles, and their effectiveness in delivering a model micelle-incorporated agent anthra[1,9-cd]pyrazol-6(2H)-one (SP600125) is presented. The thesis ends with an account of the disruption of integrity of micelles in vitro and in vivo, made possible by a novel application of a fluorogenic-based assessment that enables the monitoring of the integrity of micelles under complex biological conditions.
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".