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Record W1969081293 · doi:10.1517/13543776.2014.898753

LEDGINs, non-catalytic site inhibitors of HIV-1 integrase: a patent review (2006 – 2014)

2014· review· en· W1969081293 on OpenAlexaboutno aff
Jonas Demeulemeester, Patrick Chaltin, Arnaud Marchand, Marc De Maeyer, Zeger Debyser, Frauke Christ

Bibliographic record

VenueExpert Opinion on Therapeutic Patents · 2014
Typereview
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsIntegraseAllosteric regulationIntegrase inhibitorHuman immunodeficiency virus (HIV)BiologyComputational biologyPharmacologyVirologyEnzymeAntiretroviral therapyBiochemistryViral load

Abstract

fetched live from OpenAlex

INTRODUCTION: Integration of the viral genome into the host cell chromatin is a central step in the replication cycle of the HIV. Blocking the viral integrase (IN) enzyme therefore provides an attractive therapeutic strategy, as evidenced by the recent clinical approval of three IN strand transfer inhibitors. Viral resistance and cross-resistance among these inhibitors, however, warrant the search for compounds targeting HIV integration through alternative mechanisms of action. AREAS COVERED: The most potent class of allosteric IN inhibitors was independently identified at the University of Leuven, Belgium, and at Boehringer Ingelheim, Canada. These compounds, coined LEDGINs (after the lens epithelium-derived growth factor/p75 cofactor binding pocket on IN) or non-catalytic site IN inhibitors (NCINIs) by the respective groups, have shown remarkable antiviral activity. This review provides a brief introduction to the compound class and discusses the recent patent literature (2006 to the present). EXPERT OPINION: LEDGINs are still early in development. Trials with clinical candidate BI-224436 were put on hold despite promising results. Literature, however, reveals that almost all major pharmaceutical companies active in the treatment of HIV/AIDS have taken a significant interest in this class. As a result, several of these inhibitors may soon enter clinical trials.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.862
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
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)0.0000.003

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 head0.080
GPT teacher head0.358
Teacher spread0.278 · 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 designNot applicable
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

Citations83
Published2014
Admission routes1
Has abstractyes

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