Identification of Asp<sup>174</sup> and Asp<sup>175</sup> as the Key Catalytic Residues of Human <i>O</i>-GlcNAcase by Functional Analysis of Site-Directed Mutants
Bibliographic record
Abstract
O-GlcNAcase is a family 84 beta-N-acetylglucosaminidase catalyzing the hydrolytic cleavage of beta-O-linked 2-acetamido-2-deoxy-d-glycopyranose (O-GlcNAc) from serine and threonine residues of posttranslationally modified proteins. O-GlcNAcases use a double-displacement mechanism involving formation and breakdown of a transient bicyclic oxazoline intermediate. The key catalytic residues of any family 84 enzyme facilitating this reaction, however, are unknown. Two mutants of human O-GlcNAcase, D174A and D175A, were generated since these residues are highly conserved among family 84 glycoside hydrolases. Structure-reactivity studies of the D174A mutant enzyme reveals severely impaired catalytic activity across a broad range of substrates alongside a pH-activity profile consistent with deletion of a key catalytic residue. The D175A mutant enzyme shows a significant decrease in catalytic efficiency with substrates bearing poor leaving groups (up to 3000-fold), while for substates bearing good leading groups the difference is much smaller (7-fold). This mutant enzyme also cleaves thioglycosides with essentially the same catalytic efficiency as the wild-type enzyme. As well, addition of azide as an exogenous nucleophile increases the activity of this enzyme toward a substrate bearing an excellent leaving group. Together, these results allow unambiguous assignment of Asp(174) as the residue that polarizes the 2-acetamido group for attack on the anomeric center and Asp(175) as the residue that functions as the general acid/base catalyst. Therefore, the family 84 glycoside hydrolases use a DD catalytic pair to effect catalysis.
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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) | 0.001 | 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".