Membrane interactions of designed cationic antimicrobial peptides: The two thresholds
Bibliographic record
Abstract
Novel cationic antimicrobial peptides (CAPs) designed in our lab-typified by sequences such as KKKKKKAAX-AAXAAXAA-NH(2), where X = Phe/Trp-display high antibacterial activity but exhibit little or no hemolytic activity towards human red blood cells even at high doses. To clarify the mechanism of their selectivity for bacterial versus mammalian membranes and to increase our understanding of the relationships between primary sequence and bioactivity, a library of derivatives was prepared by increasing segmental hydrophobicity, in which systematic substitutions of Ala for two, three, or four Leu residues were made. Conformationally constrained dimeric and cyclic derivatives were also synthesized. The peptides were examined for activity against pathogenic bacteria (Pseudomonas aeruginosa), hemolytic activity on human red blood cells, and insertion into models of natural bacterial membranes (containing anionic lipids) and mammalian membranes (containing zwitterionic lipids + cholesterol). Results were compared with corresponding properties of the natural CAPs magainin and cecropin. Using circular dichroism and fluorescence spectroscopy, we found that peptide conformation and membrane insertion were sequence dependent, both upon the number of Leu residues, and upon their positions along the hydrophobic core. Membrane disruption was likely enhanced by the fact that the peptides contain potent dimerization-promoting sequence motifs, as assessed by SDS-PAGE gel analysis. The overall results led us to identify distinctions in the mechanism of actions of these CAPs for disruption of bacterial versus mammalian membranes, the latter dependent on surpassing a "second hydrophobicity threshold" for insertion into zwitterionic membranes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.001 |
| 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 teacher head, 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".