Development of the Structural Basis for Antimicrobial and Hemolytic Activities of Peptides Based on Gramicidin S and Design of Novel Analogs Using NMR Spectroscopy
Bibliographic record
Abstract
The structures of 14-residue head-to-tail cyclic gramicidin S peptides have been investigated to develop the structural rationale for their antimicrobial and hemolytic profiles. The basis for these studies is GS14 (cyclo(VKLKVdYPLKVKLdYP)), designed as an extension of the naturally occurring antimicrobial peptide. The structure of GS14 has been determined using NMR methods and was found to exist in a highly amphipathic antiparallel beta-sheet conformation. Systematic enantiomeric substitutions within the framework of the GS14 peptide were found to decrease the amphipathicity of this molecule. These results indicated that there was a direct correlation between the high amphipathic character and potent hemolytic activity in the diastereomers, whereas an inverse correlation existed between amphipathicity and antimicrobial function. To define the structural consequences of changing the amphipathic nature of GS14 analogs to maximize antimicrobial activity and to minimize hemolysis, NMR structures were determined in water and the membrane-mimetic solvent trifluoroethanol. The structures show that these attributes are the result of induction of the beta-sheet character in a membrane environment and the positioning of charged side chains on the hydrophobic face of the cyclic framework, thus decreasing the amphipathicity and directed hydrophobicity of these molecules. Implications for the design of more effective antimicrobials are discussed.
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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) | 0.001 | 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".