Structural Characterization of Lacticin 3147, a Two-Peptide Lantibiotic with Synergistic Activity
Bibliographic record
Abstract
Lantibiotics are antibacterial peptides isolated from bacterial sources that exhibit activity toward Gram-positive organisms and are usually several orders of magnitude more potent than traditional antibiotics such as penicillin. They contain a number of unique structural features including dehydro amino acid and lanthionine (thioether) residues. Introduced following ribosomal translation of the parent peptide, these moieties render conventional methods of peptide analysis ineffective. We report herein a new method using nickel boride (Ni(2)B), in the presence of deuterium gas, to reduce dehydro side chains and reductively desulfurize lanthionine bridges found in lantibiotics. Using this approach, it is possible to identify and distinguish the original locations of dehydro side chains and lanthionine bridges by traditional peptide sequencing (Edman degradation) followed by mass spectrometry. The strategy was initially verified using nisin A, a structurally well characterized lantibiotic, and subsequently extended to the novel two-component lantibiotic, lacticin 3147, produced by Lactococcus lactis subspecies lactis DPC3147. The primary structures of both lacticin 3147 peptides were then fully assigned by use of multidimensional NMR spectroscopy, showing that lacticin 3147 A1 has a specific lanthionine bridging pattern which resembles the globular type-B lantibiotic mersacidin, whereas the A2 peptide is a member of the elongated type-A lantibiotic class. Also obtained by NMR were solution conformations of both lacticin 3147 peptides, indicating that A1 may adopt a conformation similar to that of mersacidin and that the A2 peptide adopts alpha-helical structure. These results are the first of their kind for a synergistic lantibiotic pair (only four such pairs have been reported to date).
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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".