Effect of N-linked glycosylation on the aspartic proteinase porcine pepsin expressed from Pichia pastoris
Bibliographic record
Abstract
A study was undertaken to examine the effects of N-linked glycosylation on the structure-function of porcine pepsin. The N-linked motif was incorporated into four sites (two on the N-terminal domain and two on the C-terminal domain), and the recombinant protein expressed using Pichia pastoris. All four N-linked recombinants exhibited similar secondary and tertiary structure to nonglycosylated pepsin, that is, wild type. Similar K(m) values were observed, but catalytic efficiencies were approximately one-third for all mutants compared with the wild type; however, substrate specificity was not altered. Activation of pepsinogen to pepsin occurred between pH 1.0 to 4.0 for wild-type pepsin, whereas the glycosylated recombinants activated over a wider range, pH 1.0 to 6.0. Glycosylation on the C-terminal domain exhibited similar pH activity profiles to nonglycosylated pepsin, and glycosylation on the N-domain resulted in a change in activity profile. Overall, glycosylation on the C-domain led to a more global stabilization of the structure, which translated into enzymatic stability, whereas on the N-domain, an increase in structural stability had little effect on enzymatic stability. Finally, glycosylation on the flexible loop region also appeared to increase the overall structural stability of the protein compared with wild type. It is postulated that the presence of the carbohydrate residues added rigidity to the protein structure by reducing conformational mobility of the protein, thereby increasing the structural stability of the protein.
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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".