Mutation of Arg273 to Leu Alters the Specificity of the Yeast N-Glycan Processing Class I α1,2-Mannosidase
Bibliographic record
Abstract
Class I alpha1,2-mannosidases (glycosyl hydrolase family 47) involved in the processing of N-glycans during glycoprotein maturation have different specificities. Enzymes in the endoplasmic reticulum of yeast and mammalian cells remove a single mannose from Man(9)GlcNAc(2) to form Man(8)GlcNAc(2) isomer B (lacking the alpha1, 2-mannose residue of the middle alpha1, 3-arm), whereas other alpha1,2-mannosidases, including Golgi alpha1,2-mannosidases IA and IB, can convert Man(9)GlcNAc(2) to Man(5)GlcNAc(2). In the present work, it is demonstrated that with a single mutation in its catalytic domain (Arg(273) --> Leu) the yeast endoplasmic reticulum alpha1,2-mannosidase acquires the ability to transform Man(9)GlcNAc to Man(5)GlcNAc. High resolution proton nuclear magnetic resonance analysis of the products shows that the order of removal of mannose from Man(9)GlcNAc is different from that of other alpha1, 2-mannosidases that remove four mannose from Man(9)GlcNAc. These results demonstrate that Arg(273) is in part responsible for the specificity of the endoplasmic reticulum alpha1,2-mannosidase and that small differences in non-conserved amino acids interacting with the oligosaccharide substrate in the active site of class I alpha1, 2-mannosidases are responsible for the different specificities of these enzymes.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".