Exo-β-d-glucosaminidase from Amycolatopsis orientalis: catalytic residues, sugar recognition specificity, kinetics, and synergism
Bibliographic record
Abstract
Catalytic residues and the mode of action of the exo-beta-D-glucosaminidase (GlcNase) from Amycolatopsis orientalis were investigated using the wild-type and mutated enzymes. Mutations were introduced into the putative catalytic residues resulting in five mutated enzymes (D469A, D469E, E541D, E541Q, and S468N/D469E) that were successfully produced. The four single mutants were devoid of enzymatic activity, indicating that Asp469 and Glu541 are essential for catalysis as predicted by sequence alignments of enzymes belonging to GH-2 family. When mono-N-acetylated chitotetraose [(GlcN)3-GlcNAc] was hydrolyzed by the enzyme, the nonreducing-end glucosamine unit was produced together with the transglycosylation products. The rate of hydrolysis of the disaccharide, 2-amino-2-deoxy-D-glucopyranosyl 2-acetamido-2-deoxy-D-glucopyranose (GlcN-GlcNAc), was slightly lower than that of (GlcN)2, suggesting that N-acetyl group of the sugar residue located at (+1) site partly interferes with the catalytic reaction. The time-course of the enzymatic hydrolysis of the completely deacetylated chitotetraose [(GlcN)4] was quantitatively determined by high-performance liquid chromatography (HPLC) and used for in silico modeling of the enzymatic hydrolysis. The modeling study provided the values of binding free energy changes of +7.0, -2.9, -1.8, -0.9, -1.0, and -0.5 kcal/mol corresponding, respectively, to subsites (-2), (-1), (+1), (+2), (+3), and (+4). When chitosan polysaccharide was hydrolyzed by a binary enzyme system consisting of A. orientalis GlcNase and Streptomyces sp. N174 endochitosanase, the highest synergy in the rate of product formation was observed at the molar ratio 2:1. Thus, GlcNase would be an efficient tool for industrial production of glucosamine monosaccharide.
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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".