Optimization of the purification process and characterization of natural variants and truncated forms of enterocin L50A/L50B from <i>Enterococcus durans</i> LC2 with antibacterial activity
Bibliographic record
Abstract
AIMS: The rise of multidrug-resistant (MDR) pathogens has driven interest in bacteriocins as alternative antimicrobial agents. This study aimed to isolate bacteriocin-producing lactic acid bacteria from traditional Moroccan foods, purify their active compounds, and assess their activity against MDR clinical isolates. METHODS AND RESULTS: Enterococcus durans LC2, isolated from camel milk, was found to produce four bacteriocins (B1, B2, C1, C2). Initial purification using a C18 reversed-phase HPLC column yielded partially overlapping peaks; to improve separation, a phenyl-hexyl column was introduced as a second-stage refinement. Four active fractions were isolated and characterized using mass spectrometry and Edman degradation. B1 and B2 were identified as modified forms of enterocin L50A/B, while C1 and C2 were novel truncated variants. Antimicrobial testing revealed limited activity for B1 and B2, but strong synergistic effects of C1 and C2, particularly against Acinetobacter baumannii and Enterococcus faecalis. CONCLUSION: Structurally modified enterocins C1 and C2 show promising synergistic activity against MDR pathogens, highlighting their potential as alternative therapeutic agents in the fight against antimicrobial resistance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".