Mechanism of the CBM35 domain in assisting catalysis by Ape1, a <i>Campylobacter jejuni</i> O-acetyl esterase
Bibliographic record
Abstract
Abstract Peptidoglycan (PG) is O -acetylated by bacteria to resist killing by host lysozyme. During PG turnover, however, deacetylation is a prerequisite for glycan strand hydrolysis by lytic transglycosylases. Ape1, a de- O -acetylase from Campylobacter jejuni , is a bi-modular protein composed of an SGNH hydrolase domain and a CBM35 domain. The conserved Asp-His-Ser catalytic triad in the SGNH hydrolase domain confers enzymatic activity. The PG binding mode and function of the CBM35 domain in de- O -acetylation remained unclear. In this paper, we present a 1.8 Å resolution crystal structure of a complex between acetate and Ape1. An active site cleft is formed at the interface of the two domains and two large loops from the CBM35 domain form part of the active site. Site-directed mutagenesis of residues in these loops coupled with activity assays using p -nitrophenol acetate indicate the CBM35 loops are required for full catalytic efficiency. Molecular docking of a model O -acetylated hexasaccharide PG substrate to Ape1 using HADDOCK suggests the interaction is formed by the active cleft and the saccharide motif of PG. Together, we propose that the active cleft of Ape1 diverges from other SGNH hydrolase members by using the CBM35 loops to assist catalysis. The concave Ape1 active cleft may accommodate the long glycan strands for selecting PG substrates to regulate subsequent biological events.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".