Controlled self-assembly of macrocyclic peptide into multifunctional photoluminescent nanoparticles
Bibliographic record
Abstract
Self-assembled peptide nanoparticles are unique stimuli responsive biodegradable materials with applications in biomedicines as delivery carriers and imaging agents. This study investigates the controlled self-assembly of chicken Angiogenin 4 derived immunomodulatory macrocyclic peptide (mCA4-5) in the presence of an inert amphipathic stabilizing peptide and as a function of pH, temperature and presence of ions to yield optically active, physiologically stable and biodegradable peptide nanoparticles. The photoluminescent peptide nanoparticles (PLPNs) produced were characterized for the size, surface charge, optical properties and crystallinity. The carvacrol loaded nanoparticles prepared by facile encapsulation of the drug during the self-assembly process were evaluated for the drug release efficacies, as a function of pH and in the presence of reducing agent. Carvacrol loaded, physiologically stable PLPNs obtained with high conversion efficacy were highly effective against planktonic bacteria and bacterial biofilms and efficiently eradicated intracellular bacteria in infected macrophages and fibroblast. Furthermore, the drug-loaded nanoparticles exhibited significant antioxidant activities and immunomodulatory effects, highlighting their multifunctional therapeutic potential.
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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) | 0.000 | 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) | 0.000 | 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".