Antimicrobial peptide RP‐1 structure and interactions with anionic versus zwitterionic micelles
Bibliographic record
Abstract
Topologically, platelet factor-4 kinocidins consist of distinct N-terminal extended, C-terminal helical, and interposing gamma-core structural domains. The C-terminal alpha-helices autonomously confer direct microbicidal activity, and the synthetic antimicrobial peptide RP-1 is modeled upon these domains. In this study, the structure of RP-1 was assessed using several complementary techniques. The high-resolution structure of RP-1 was determined by NMR in anionic sodium dodecyl sulfate (SDS) and zwitterionic dodecylphosphocholine (DPC) micelles, which approximate prokaryotic and eukaryotic membranes, respectively. NMR data indicate the peptide assumes an amphipathic alpha-helical backbone conformation in both micelle environments. However, small differences were observed in the side-chain orientations of lysine, tyrosine, and phenylalanine residues in SDS versus DPC environments. NMR experiments with a paramagnetic probe indicated differences in positioning of the peptide within the two micelle types. Molecular dynamics (MD) simulations of the peptide in both micelle types were also performed to add insight into the peptide/micelle interactions and to assess the validity of this technique to predict the structure of peptides in complex with micelles. MD independently predicted RP-1 to interact only peripherally with the DPC micelle, leaving its spherical shape intact. In contrast, RP-1 entered deeply into and significantly distorted the SDS micelle. Overall, the experimental and MD results support a preferential specificity of RP-1 for anionic membranes over zwitterionic membranes. This specificity likely derives from differences in RP-1 interaction with distinct lipid systems, including subtle differences in side chain orientations, rather than gross changes in RP-1 structure in the two lipid environments.
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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".