N-terminal portion acts as an initiator of the inactivation of pepsin at neutral pH
Bibliographic record
Abstract
Porcine pepsin, an aspartic protease, is unstable at neutral pHs where it rapidly loses activity, however, its zymogen, pepsinogen, is stable at neutral pHs. The difference between the two is the presence of the prosegment in pepsinogen. In this study, possible factors responsible for instability were investigated and included: (i) the distribution of positively charged residues on the surface, (ii) an insertion of a peptide in the C-terminal domain and (iii) the dissociation of the N-terminal fragment of pepsin. Mutations to change the number and the distribution of positive charges on the surface had a minor effect on stability. No effect on stability was observed for the deletion of a peptide from the C-terminal domain. However, mutations on the N-terminal fragment had a major impact on stability. At pH 7.0, the N-fragment mutant was inactivated 5.8 times slower than the wild-type. The introduction of a disulfide bond between the N-terminal fragment and the enzyme body prevented the enzyme from denaturing. The above results showed that the inactivation of pepsin was initiated by the dissociation of the N-fragment and that the sequence of this portion was a major determinant for enzyme stability. Through this study, we have created porcine pepsin with increased pH stability at neutral pHs.
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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 | 0.000 |
| 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".