Identification of an N-Terminal Formylated, Two-Peptide Bacteriocin from Enterococcus faecalis 710C
Bibliographic record
Abstract
Enterococcus faecalis 710C, isolated from beef product, has a broad antimicrobial activity spectrum against foodborne pathogens. Two bacteriocins, enterocin 7A (Ent7A) and enterocin 7B (Ent7B), were purified from the culture supernatant of E. faecalis 710C and characterized using matrix-assisted laser desorption ionization-time-of-flight mass spectrometry and electrospray infusion tandem mass spectrometry analyses. These data and subsequent genetic analysis showed that Ent7A and Ent7B are produced without N-terminal leader sequences and have amino acid sequences that are identical to those of enterocins MR10A and MR10B, respectively. However, the observed masses for Ent7A and Ent7B are 5200.80 and 5206.65 Da (monoisotopic mass), respectively, which are higher than the theoretical molecular masses of MR10A and MR10B, respectively. This study provides evidence that both Ent7A and Ent7B are formylated on the N-terminal methionine residue. Purified Ent7A and Ent7B are active against spoilage microorganisms and foodborne pathogens, including Clostridium sporogenes , Listeria monocytogenes , and Staphylococcus aureus as well as Brevundimonas diminuta , which has been associated with infections among immune-suppressed cancer patients.
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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".