RECEPTOR MEDIATED BINDING OF AVIDIN TO POLYMER COVERED LIPOSOMES
Bibliographic record
Abstract
Fluoresence technique involving a receptor-mediated fluorescence increase of bodipy-labeled avidin upon binding to biotinylated lipids has been used to investigate the steric barrier effect of submicellar concentrations of poly(ethylene glycol)-phospholipids (PE-PEG(2000) and PE-PEG(5000)) incorporated into pure DPPC liposomes as well as PE-PEG(5000) incorporated into DPPC liposomes containing 20 mol% cholesterol. It is found that the incorporation of PE-PEG lipopolymers into DPPC lipid bilayers lowers the receptor-mediated adhesion of avidin to the biotinylated liposomes. The most pronounced screening effect is observed at surface densities corresponding to the mushroom conformation of the polymer. Furthermore, the results show that the steric baric effect induced by the surface-grafted polymers becomes stronger when the length of the polymer chain increases. In addition it is found that cholesterol improves the barrier effect of PE-PEG(5000) at low lipopolymer concentrations while no effect is observed at higher concentrations. The results reveal that both the surface density and the polymer length of the PE-PEG lipopolymers play a major role for the accessibility of avidin to biotin surface receptors. However, none of the lipopolymers were capable of completely preventing avidin from reaching the surface bound ligands. Cholesterol only affected the barrier effect at lipopolymer concentrations below the mushroom to brush transition. Consequently, from a steric stabilization viewpoint there is no rationale for incorporating cholesterol into liposomes when the PE-PEG lipopolymer concentration exceeds the mushroom to brush transition. The results presented in this study are of importance in relation to a deeper understanding of the interaction of liposome degrading enzymes and proteins with polymer covered liposomes as well as for the receptor-based targeting and interaction of liposomes with cell surface receptors.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".