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Record W1981523473 · doi:10.2217/fvl.09.29

HCV NS2/3 Protease: A Future Antiviral Drug Target?

2009· article· en· W1981523473 on OpenAlexafffund
Sarah Welbourn, Arnim Pause

Bibliographic record

VenueFuture Virology · 2009
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsMcGill University
FundersCanadian Institutes of Health ResearchCanadian Liver Foundation
KeywordsProteaseNS3VirologyNS2-3 proteaseViral replicationDrug discoveryEnzymeInfectivityAntiviral drugBiologyDrug developmentDrug targetDrugComputational biologyVirusPharmacologyBioinformaticsBiochemistry

Abstract

fetched live from OpenAlex

Current HCV therapy presents many side effects, is inadequate in treating all patients infected with the disease, and it is likely that future therapy will involve the specific targeting of multiple viral enzymes. The HCV NS2/3 protease is a dimeric autocatalytic protease that cleaves the viral polyprotein between NS2 and NS3. NS2/3 cleavage has been shown to be absolutely required for genome replication and viral infectivity in a chimpanzee and, therefore, NS2/3 has been suggested to be a promising target for future HCV drug development. This article focuses on the characterization of NS2/3 processing, the methods developed and progress achieved towards the generation of NS2/3 cleavage inhibitors. The challenges involved in developing active site inhibitors of this enzyme, as well as alternative approaches to inhibiting HCV replication through the NS2/3 and NS2 proteins, are also discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.008
GPT teacher head0.292
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2009
Admission routes2
Has abstractyes

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