Efficient Production and Purification of Bioactive E50-52-Class IIa Peptidic Bacteriocin Is Achieved through Fusion with the Catalytic Domain of Lysostaphin-Class III Bacteriocin
Bibliographic record
Abstract
Abstract E50-52, a class IIa-peptidic bacteriocin produced by a strain of Enterococcus faecium, has broad-spectrum antimicrobial activity against various foodborne pathogens. However, effective utilization of the E50-52 has been limited by low production yields and challenges associated with separation and purification of this 39-amino acid antimicrobial peptide. In this study, we have successfully produced a biologically active recombinant form of E50-52 by fusing it with the 16-kDa catalytic domain of lysostaphin-class III bacteriocin (LssCAT), which resulted in high-yield production. Initially, the LssCAT-E50-52 chimeric protein was insoluble upon over-expression in Escherichia coli, but it became soluble using phosphate buffer (pH 7.4) supplemented with 8 M urea. Purification using immobilized-Ni2+ affinity chromatography under urea denaturing conditions resulted in consistent production a homogenous products (LssCAT-E50-52) with >95% purity. The purified protein was refolded using an optimized stepwise dialysis process. The resulting refolded LssCAT-E50-52 protein exhibited dose-dependent inhibitory activity against Helicobacter pylori, a Gram-negative, flagellated, helical bacterium that is associated with gastric cancer. Overall, the optimized protocol described in this study effectively produced large quantities of high-purity recombinant LssCAT-E50-52 protein, yielding approximately 100 mg per liter of culture. To the best of our knowledge, this is the first report on the impact of LssCAT-E50-52 on H. pylori. This finding could pave the way for further research into bactericidal mechanism and potential applications of this bacteriocin in biomedical industry.
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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".