Peptide-Based Inhibitors of the Hepatitis C Virus NS3 Protease: Structure−Activity Relationship at the<i>C</i>-Terminal Position
Bibliographic record
Abstract
The structure-activity relationship at the C-terminal position of peptide-based inhibitors of the hepatitis C virus NS3 protease is presented. The observation that the N-terminal cleavage product (DDIVPC-OH) of a substrate derived from the NS5A/5B cleavage site was a competitive inhibitor of the NS3 protease was previously described. The chemically unstable cysteine residue found at the P1 position of these peptide-based inhibitors could be replaced with a norvaline residue, at the expense of a substantial drop in the enzymatic activity. The fact that an aminocyclopropane carboxylic acid (ACCA) residue at the P1 position of a tetrapeptide such as 1 led to a significant gain in the inhibitory enzymatic activity, as compared to the corresponding norvaline derivative 2, prompted a systematic study of substituent effects on the three-membered ring. We report herein that the incorporation of a vinyl group with the proper configuration onto this small cycle produced inhibitors of the protease with much improved in vitro potency. The vinyl-ACCA is the first reported carboxylic acid containing a P1 residue that produced NS3 protease inhibitors that are significantly more active than inhibitors containing a cysteine at the same position.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".