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Record W8174760

TMC-435, an NS3/4A protease inhibitor for the treatment of HCV infection.

2009· article· en· W8174760 on OpenAlexaff
Youla S. Tsantrizos

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsMcGill University
Fundersnot available
KeywordsRibavirinNS3Hepatitis C virusPharmacologyMedicineHepatocellular carcinomaProtease inhibitor (pharmacology)HepacivirusHepatitis CNS5BVirologyVirusInternal medicineViral load
DOInot available

Abstract

fetched live from OpenAlex

TMC-435, being developed by Tibotec Pharmaceuticals Ltd, is an orally administered, macrocyclic inhibitor of the HCV NS3/4A serine protease. HCV infection can cause chronic hepatitis, cirrhosis of the liver and hepatocellular carcinoma. The HCV NS3/4A enzyme is an essential component for viral replication, suggesting that this protein is a key therapeutic target. Biochemical assays demonstrated potent inhibition of HCV NS3/4A by TMC-435 in all HCV genotypes tested, with the exception of HCV-3. In cellular replicon models, the compound selectively inhibited HCV-1 replication and displayed additive effects with ribavirin, and had synergistic activity with IFNalpha and an NS5B polymerase inhibitor. Pharmacokinetic data demonstrated high exposure and good oral bioavailability, supporting once-daily dosing of TMC-435 in humans. In phase I and II clinical trials, the administration of TCM-435 to patients infected with HCV-1, alone or in combination with PEG-IFNalpha and ribavirin, produced significant reductions in HCV-RNA without any significant adverse effects, thus providing a basis for further development of this compound as an anti-HCV therapeutic agent. At the time of publication, phase II trials with TMC-435 were ongoing.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.075
GPT teacher head0.339
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2009
Admission routes1
Has abstractyes

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