Micelles as Intermediates in the Preparation of Protein−Liposome Conjugates
Bibliographic record
Abstract
A method for preparing protein-liposome conjugates based on micelles as intermediates was developed. Ovalbumin was thiolated with 2-IT and conjugated to the surface of micelles composed of a maleimide-derivatized active lipid and a micelle-forming lipid. These micelles were then incubated with liposomes, allowing the micelle components to exchange into the liposome bilayers. Using this technique we were able to demonstrate that it was possible to saturate the surface of the micelle with protein and use this property to control the level of conjugation. Titration of these protein-micelle conjugates into liposome solutions resulted in reproducible batches of protein-liposome conjugates. Chemical cross-linking could be observed in some cases; however, this was controllable through selection of reagent concentrations. The effects of parameters such as thiolation levels, micelle lipid composition, active lipid structure, micelle-forming lipid structure, and micelle/liposome/protein ratios were examined. The method represents a general approach to the preparation of well defined and reproducible protein-liposome-based drug formulations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".