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Record W2027588368 · doi:10.1021/jm0303002

NMR Structural Characterization of Peptide Inhibitors Bound to the Hepatitis C Virus NS3 Protease:  Design of a New P2 Substituent

2003· article· en· W2027588368 on OpenAlexaff
Nathalie Goudreau, Dale R. Cameron, Pierre Bonneau, Vida Gorys, Céline Plouffe, Martin Poirier, Daniel Lamarre, Montse Llinàs‐Brunet

Bibliographic record

VenueJournal of Medicinal Chemistry · 2003
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsBoehringer Ingelheim (Canada)
Fundersnot available
KeywordsChemistrySubstituentTetrapeptideStereochemistryProteaseNS3Residue (chemistry)Protease inhibitor (pharmacology)PeptideNuclear Overhauser effectNuclear magnetic resonance spectroscopyEnzymeBiochemistryVirusVirology

Abstract

fetched live from OpenAlex

A comparative NMR conformational analysis of three distinct tetrapeptide inhibitors of the Hepatitis C NS3 protease that differ at the 4-aryloxy-substituted P2 proline position was undertaken. Specifically, transferred nuclear Overhauser effect experiments in combination with restrained systematic conformational searches were used to characterize the orientation of the P2 aryl substituents of these inhibitors when bound to the NS3 protease. Differences between free and bound conformations were also investigated. Analysis of the results allowed the design of a new P2 aromatic substituent, which significantly increased the potency of our inhibitors. The bound conformation of a specific competitive inhibitor having this novel P2 substituent is also described, along with a model of this inhibitor bound to the NS3 protease. This NS3 protease/inhibitor complex model also supports a hypothetical stabilization role for the P2 residue of the substrates and/or inhibitors and further elucidates the subtle details of the binding of the P2 residue of substrate-based inhibitors.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0010.000

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 head0.030
GPT teacher head0.302
Teacher spread0.272 · 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.

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

Citations65
Published2003
Admission routes1
Has abstractyes

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