Double Click: Dual Functionalized Polymeric Micelles with Antibodies and Peptides
Bibliographic record
Abstract
Polymeric nanoparticle micelles provide a possible platform for theranostic delivery, combining the role of therapeutics and diagnostics in one vehicle. To explore dual-functional micelles, the amphiphilic copolymer of poly(d,l-lactide-co-2-methyl-2-carboxytrimethylene carbonate)-graft-poly(ethylene glycol)-X (P(LA-co-TMCC)-g-PEG-X) was self-assembled to form micelles, with X representing either azide or furan. Micelles of P(LA-co-TMCC)-g-PEG-azide and P(LA-co-TMCC)-g-PEG-furan terminal functional groups were used to conjugate dibenzylcyclooctyne and maleimide-modified probes, respectively, taking advantage of orthogonal coupling chemistry. To verify the utility of the dual-functional micelles, trastuzumab-maleimide antibodies and FLAG-dibenzylcyclooctyne peptides were covalently bound by sequential click chemistry reactions. SKOV-3luc cells that were treated with the dual-functionalized micelles showed colocalization of the antibodies and peptides by confocal imaging, demonstrating the promise of this approach.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".