Inhibitory Potency and Specificity of Subtilase-like Pro-protein Convertase (SPC) Prodomains
Bibliographic record
Abstract
The SPCs (subtilisin-like pro-protein convertases) are a family of enzymes responsible for the proteolytic processing of numerous precursor proteins of the constitutive and regulated secretory pathways. SPCs are themselves synthesized as inactive zymogens. Activation of SPCs occurs via the intramolecular autocatalytic removal of the prodomain. SPC prodomains have been proposed as templates in the development of potent and specific SPC inhibitors. In this study, we investigated the specificity and potency of complete prodomains and short C-terminal prodomain peptides of each SPC on highly purified, soluble enzyme preparations of human SPC1, SPC6, and SPC7. Progress curve kinetic analysis of prodomain peptides and complete prodomains showed competitive inhibitory profiles in the low nanomolar range. Complete prodomains were 5-100 times more potent than C-terminal prodomain peptides, suggesting that N-terminal determinants are involved in the recognition process. However, complete prodomains and prodomain peptides exhibit only a partial specificity toward their cognate enzyme. Ala-scan structure activity studies indicated the importance of basic residues in the P(4), P(5), and P(6) positions for inhibition of SPC1. In contrast, hydrophobic residues in P(6) and P(7), as well as basic residues in P(4) and P(5), were critical for inhibition of SPC7. Our data demonstrated that the use of prodomains as specific inhibitors acting in trans would be of limited usefulness, unless modified into more specific compounds.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".