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Record W2952544614 · doi:10.1021/jm990336n

2‘,6‘-Dimethylphenoxyacetyl:  A New Achiral High Affinity P<sub>3</sub>-P<sub>2</sub>Ligand for Peptidomimetic-Based HIV Protease Inhibitors

2000· article· en· W2952544614 on OpenAlexaff
P. L. BEAULIEU, Paul C. Anderson, Dale R. Cameron, G Croteau, Vida Gorys, Chantal Grand‐Maître, Daniel Lamarre, Francine Liard, William Paris, Louis Plamondon, F. Soucy, Diane Thibeault, Dominik Wernic, Christiane Yoakim, Susan Pav, Liang Tong

Bibliographic record

VenueJournal of Medicinal Chemistry · 2000
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsBoehringer Ingelheim (Canada)
Fundersnot available
KeywordsChemistryPeptidomimeticStereochemistryProteaseLigand (biochemistry)Protease inhibitor (pharmacology)HIV-1 proteaseChemical synthesisPotencyStructure–activity relationshipBioavailabilityIn vitroHuman immunodeficiency virus (HIV)EnzymeReceptorBiochemistryPharmacologyVirologyAntiretroviral therapyPeptide

Abstract

fetched live from OpenAlex

Starting from palinavir (1), our lead HIV protease inhibitor, we have discovered a new series of truncated analogues in which the P(3)-P(2) quinaldic-valine portion of 1 was replaced by 2', 6'-dimethylphenoxyacetyl. With EC(50)'s in the 1-2 nM range, some of these compounds are among the most potent inhibitors of HIV replication in vitro, reported to date. One of the most promising members in this series (compound 27, BILA 2185 BS) exhibited a favorable overall pharmacokinetic profile, with 61% apparent oral bioavailability in rat. X-ray crystal structures and molecular modeling were used to rationalize the high potency resulting from incorporation of this structurally simple, achiral ligand into the P(3)-P(2) position of hydroxyethylamine-based HIV protease 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 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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.236
Teacher spread0.227 · 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

Citations29
Published2000
Admission routes1
Has abstractyes

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Same venueJournal of Medicinal ChemistrySame topicHIV/AIDS drug development and treatmentFrench-language works237,207