Inhibition of the family 20 glycoside hydrolase catalytic modules in the Streptococcus pneumoniae exo-β-d-N-acetylglucosaminidase, StrH
Bibliographic record
Abstract
Streptococcus pneumoniae produces a cell-surface attached β-N-acetylglucosaminidase called StrH that is used by this pathogen to process the termini of host complex N-linked glycans. N-Acetyl-D-glucosamine-thiazoline (NAG-Thiazoline, NGT) and O-(2-acetamido-2-deoxy-D-glucopyranosylidene)amino N-phenyl carbamate (PUGNAc) are inhibitors of the two family 20 glycoside hydrolase catalytic modules within StrH and these inhibitors have proven useful in modulating the activity of StrH in assays that model aspects of the host-bacterium interaction. Here we explore the molecular basis of StrH inhibition through structural, kinetic, thermodynamic and site-directed mutagenic analyses using the recombinantly produced independent catalytic modules of StrH (GH20A and GH20B) and the inhibitors NGT and PUGNAc. The results reveal a similar binding mode of the sugar moiety of these inhibitors at the -1 subsite in the active sites of GH20A and GH20B. The lower affinity of NGT as compared to PUGNAc for these catalytic modules can be attributed to the hydrophobic phenylcarbamate moiety of PUGNAc that is absent in NGT. This moiety also displayed variations in its interactions with the active sites of GH20A and GH20B that provide a rationale for the 400-fold difference observed in the Ki values of this compound for these two β-N-acetylglucosaminidase catalytic modules.
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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".