Introduction of structural perturbations into drug polymers: effect on enzyme hydrolysis
Bibliographic record
Abstract
Antimicrobial agents have been incorporated into devices in an attempt to address bacterial infection. This thesis furthers the work done on the development of biodegradable polyurethanes with reduced hard segment packing and potential antimicrobial properties. Drug polymers having norfloxacin were synthesized with diisocyanates having pendant methyl (2,2,4-trimethyl-1-6-diisocyanatohexane) and ester (lysine diisocyanate) groups on their backbone and a polycarbonate/polyester soft segment. The surface and bulk properties of the polymers were characterized. Degradation studies, performed in the presence of the enzyme cholesterol esterase, were assessed by high performance liquid chromatography (HPLC) and mass spectrometry (MS). One of the polymers degraded to release drug without any other drug derived products in the presence of enzyme. The results indicate that the presence of diisocyanates with pendant groups alter the degradation profile of the drug polymer, suggesting that an ideal drug release profile can be achieved by modification of the polymer chemistry.
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".