Identification and Characterization of Glycopeptides from Egg Protein Ovomucin with Anti-Agglutinating Activity against Porcine K88 Enterotoxigenic <i>Escherichia coli</i> Strains
Bibliographic record
Abstract
Ovomucin is a glycoprotein from egg white with potential to act as an anti-adhesive agent against infectious diseases. This study aimed to determine whether ovomucin or ovomucin hydrolysates could prevent adhesion of two porcine K88 enterotoxigenic Escherichia coli (ETEC) strains. Adhesion was assessed in vitro using a hemagglutination assay. Ovomucin hydrolysates, but not intact ovomucin, prevented adhesion of ETEC to porcine erythrocytes. The ovomucin hydrolysate prepared by acid protease II exhibited the best anti-agglutinating activity against both strains; this hydrolysate was fractionated by cation exchange chromatography and reverse-phase high-performance liquid chromatography (HPLC). The most active fractions, F3(9) and F7(1), with minimal inhibitory concentrations of 0.03 and 0.25 g/L against strains ECL13795 and ECL13998, respectively, were subjected to structural characterization. Six identified glycopeptides were all derived from α-ovomucin, composed of a pentasaccharide core of two N -acetylglucosamine and three mannose residues (GlcNAc 2 Man 3 ) and a bisecting N -acetylglucosamine (GlcNAc). The terminal β-linked galactose from these glycopeptides could be one of the binding sites for K88 ac fimbriae.
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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) | 0.001 | 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".