The Prosegment Catalyzes Pepsin Folding to a Kinetically Trapped Native State
Bibliographic record
Abstract
Investigations of irreversible protein unfolding often assume that alterations to the unfolded state, rather than the nature of the native state itself, are the cause of the irreversibility. However, the present study describes a less common explanation for the irreversible denaturation of pepsin, a zymogen-derived aspartic peptidase. The presence of a large folding barrier combined with the thermodynamically metastable nature of the native state, the formation of which depends on a separate prosegment (PS) domain, is the source of the irreversibility. Pepsin is unable to refold to the native state upon return from denaturing conditions due to a large folding barrier (24.6 kcal/mol) and instead forms a thermodynamically stable, yet inactive, refolded state. The native state is kinetically stabilized by an unfolding activation energy of 24.5 kcal/mol, comparable to the folding barrier, indicating that native pepsin exists as a thermodynamically metastable state. However, in the presence of the PS, the native state becomes thermodynamically stable, and the PS catalyzes pepsin folding by stabilizing the folding transition state by 14.7 kcal/mol. Once folded, the PS is removed, and the native conformation exists as a kinetically trapped state. Thus, while PS-guided folding is thermodynamically driven, without the PS the pepsin energy landscape is dominated by kinetic barriers rather than by free energy differences between native and denatured states. As pepsin is the archetype of a broad class of aspartic peptidases of similar structure and function, and many require their PS for correct folding, these results suggest that the occurrence of native states optimized for kinetic rather than thermodynamic stability may be a common feature of protein design.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".