Purification and characterization of a novel antibacterial peptide against Clostridium perfringens
Bibliographic record
Abstract
Bacillus velezensis HG88 was isolated from ileal mucosa samples of egg layer hens that were raised without the use of antibiotics. Its cell-free supernatant (CFS) was found to inhibit the growth of Clostridium perfringens, the causative agent of necrotic enteritis in chickens. The inhibitory compound was determined to be proteinaceous due to its susceptibility to protease digestion. The antimicrobial activity was specific towards C. perfringens, as the CFS did not inhibit the growth of Gram-positive or Gram-negative bacteria across nine different species and two yeast fungi. Separation of proteins from the CFS followed by peptide mass fingerprinting and genomic analyses of the strain enabled the identification of a putative antibacterial peptide with an export signal for secretion from the cell. The peptide from B. velezensis HG88, named IPHG88, has sequence similarity to bacterial SH3 domains that are known to bind to the peptide portion of peptidoglycan. The gene encoding this peptide was cloned, and the peptide was purified from recombinant Escherichia coli as an N-terminal His-tagged peptide. The IPHG88 with or without the His-tag inhibited the growth of C. perfringens with a minimum bactericidal concentration of ~57.0 or 39.1 µg ml−1, respectively. The 3D structure of IPHG88 was also predicted using AlphaFold 2.0.
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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".