Construction, expression and characterization of a chimaeric mammalian-plant aspartic proteinase
Bibliographic record
Abstract
Aspartic proteinases are a well-characterized class of proteinases. In plants, all nascent aspartic proteinases possess a 100-amino-acid, plant-specific sequence (PSS) within their C-terminal lobe, presumed to possess a targeting role in vivo. In this study, the PSS domain from the Arabidopsis thaliana aspartic proteinase was inserted into porcine pepsinogen at the identical location found in nascent plant aspartic proteinases, to create a chimaeric mammalian-plant enzyme. Based on enzymic activity, this chimaeric enzyme demonstrated increases in pH stability above 6 and temperature stability above 60 degrees C compared with commercial pepsin. Differential scanning calorimetry of the chimaeric enzyme illustrated an approx. 2 degrees C increase in denaturation temperature ( T (m)), with increases in co-operativity and similar enthalpy values. Kinetic analysis indicated an increase in K (m) and decreased k (cat) compared with pepsin, but with a catalytic efficiency similar to the monomeric plant aspartic proteinase from wheat. Using oxidized insulin B-chain, the chimaeric enzyme demonstrated more restricted substrate specificity in comparison with commercial pepsin. This study highlights the use of a chimaeric enzyme strategy in order to characterize unique protein domains within enzyme families, and, for the first time, a putative structure-function role for the PSS as it pertains to plant aspartic proteinases.
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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 | 0.001 |
| 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".