Discovery and Development of Simeprevir (TMC435), a HCV NS3/4A Protease Inhibitor
Bibliographic record
Abstract
Hepatitis C virus is a blood-borne infection and the leading cause of chronic liver disease (including cirrhosis and cancer) and liver transplantation. Since the identification of HCV in 1989, there has been an extensive effort to identify and improve treatment options. An important milestone was reached in 2011 with the approval of the first-generation HCV NS3/4A protease inhibitors. However, new therapies are needed to improve cure rates, shorten treatment duration, and improve tolerability. Here we summarize the extensive medicinal chemistry effort to develop novel P2 cyclopentane macrocyclic inhibitors guided by HCV NS3 protease assays, the cellular replicon system, structure-based design, and a panel of DMPK assays. The selection of compound 29 (simeprevir, TMC435) as clinical candidate was based on its excellent biological, PK, and safety pharmacology profile. Compound 29 has recently been approved for treatment of chronic HCV infection in combination with pegylated interferon-α and ribavirin in Japan, Canada, and USA.
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".