Physical Properties Affecting Cochleate Formation and Morphology Using Antimicrobial Oligo-acyl-lysyl Peptide Mimetics and Mixtures Mimicking the Composition of Bacterial Membranes in the Absence of Divalent Cations
Bibliographic record
Abstract
Several cationic antimicrobial oligo-acyl-lysyl (OAK) peptide mimetics can form cochleate structures, that is, elongated multilayered cylindrical structures, with lipid mixtures mimicking the composition of bacterial cytoplasmic membranes. These cochleate structures do not require divalent cations for their assembly. In the present work, we use light microscopy to screen for cochleate formation in several OAK-lipid systems and freeze-fracture electron microscopy to assess their morphological features and size. We identify several factors that facilitate a structural change in these assemblies. Dehydration of the membrane interface and a high melting temperature are features of the lipids that enhance cochleate formation in OAK-based lipid systems. In addition, we observed that there is a specific length of the hydrocarbon linker in the OAK of 8-9 carbon atoms that provides optimal formation of these structures. The biophysical properties established in this study will allow for a better understanding of their role and suitability for biological studies.
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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 | 0.001 |
| 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".