Inhibitory Activity and Structural Characterization of a C-Terminal Peptide Fragment Derived from the Prosegment of the Proprotein Convertase PC7
Bibliographic record
Abstract
Mammalian proprotein convertases (PCs) belong to the family of recently discovered serine proteases responsible for the processing of a large number of precursor proteins into their active forms. The enzymatic activities of the convertases have been implicated in a variety of disease states, such as cancer and infectious and inflammatory diseases. Like many other proteases, PCs are also synthesized as inactive proenzymes with N-terminal extensions as their prosegments. Here, we present the inhibitory activities of a number of "putative" interfacial peptide fragments derived from the proregion of PC7. We found that a peptide fragment corresponding to the C-terminal region (residues 81p-104p, or C24: E(1)-A-V-L-A-K-H-E-A-V-R-W-H-S-E-Q-R-L-L-K-R-A-K-R(24)) of the PC7 prosegment displays a strong inhibition (K(i) = 7 nM) of the PC7 enzyme comparable to that of the full-length (104 residue) prosegment. The same 24 residue peptide shows significantly populated helical conformations in an aqueous solution close to the physiological condition. Structure calculations driven by NOE distance restraints revealed a slightly kinked helical conformation for the entire peptide, characterized by many side-chain/side-chain interactions including those involving charged residues E8-R11-E15 and hydrophobic residues W12 and L19. These results suggest that the C-terminal region of the prosegment of PC7 may play a dominant role in conferring the inhibitory potency to the cognate enzyme and this strong inhibitory activity may be a direct consequence of the folded conformation of the peptide fragment in solution. We surmise that such a structure-function correlation for an inhibitory peptide could lead to the design and discovery of molecules mimicking the specific interactions of the PC prosegments for their cognate proteases.
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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".