The T99K variant of glycosylasparaginase shows a new structural mechanism of the genetic disease aspartylglucosaminuria
Bibliographic record
Abstract
Abstract Aspartylglucosaminuria (AGU) is an inherited disease caused by mutations in a lysosomal amidase called aspartylglucosaminidase (AGA) or glycosylasparaginase (GA). This disorder results in an accumulation of glycoasparagines in the lysosomes of virtually all cell types, with severe clinical symptoms affecting the central nervous system, skeletal abnormalities, and connective tissue lesions. GA is synthesized as a single‐chain precursor that requires an intramolecular autoprocessing to form a mature amidase. Previously, we showed that a Canadian AGU mutation disrupts this obligatory intramolecular autoprocessing with the enzyme trapped as an inactive precursor. Here, we report biochemical and structural characterization of a model enzyme corresponding to a new American AGU allele, the T99K variant. Unlike other variants with known 3D structures, this T99K model enzyme still has autoprocessing capacity to generate a mature form. However, its amidase activity to digest glycoasparagines remains low, consistent with its association with AGU. We have determined a 1.5‐Å‐resolution structure of this new AGU model enzyme and built an enzyme–substrate complex to provide a structural basis to analyze the negative effects of the T99K point mutation on K M and k cat of the amidase. It appears that a “molecular clamp” capable of fixing local disorders at the dimer interface might be able to rescue the deficiency of this new AGU variant.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".