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Record W2107217435 · doi:10.1517/13543784.14.9.1129

The therapeutic potential of NS3 protease inhibitors in HCV infection

2005· review· en· W2107217435 on OpenAlexaff
Nathalie Goudreau, Montse Llinàs‐Brunet

Bibliographic record

VenueExpert Opinion on Investigational Drugs · 2005
Typereview
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsBoehringer Ingelheim (Canada)
Fundersnot available
KeywordsNS3ProteaseHepatitis C virusVirologyViral replicationHepatitis CMedicineDrug discoveryBiologyVirusEnzymeImmunologyBioinformaticsBiochemistry

Abstract

fetched live from OpenAlex

Hepatitis C virus (HCV) infection is a serious cause of chronic liver disease worldwide and afflicts > 170 million people. The HCV-encoded NS3 protease is essential for viral replication and has long been recognised as a prime target for antiviral drugs. However, the peculiar active site structure of this enzyme, a shallow dent on the surface of the protein, has rendered the development of small-molecule inhibitors a highly challenging task. Nevertheless, perseverance and creativity has led to significant progress in this field over the last few years resulting in three compounds that are reported to enter the clinic. The impressive reduction of HCV RNA plasma levels observed with two of these inhibitors (ciluprevir and VX-950) in clinical trials has undoubtedly illustrated the potential of this viral enzyme-targeted drug discovery approach.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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.

Opus teacher head0.088
GPT teacher head0.417
Teacher spread0.329 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations47
Published2005
Admission routes1
Has abstractyes

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