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Record W2018494913 · doi:10.1517/13543776.2014.851669

An overview of patented small molecule stearoyl coenzyme-A desaturase inhibitors (2009 – 2013)

2013· review· en· W2018494913 on OpenAlexaff
David Powell

Bibliographic record

VenueExpert Opinion on Therapeutic Patents · 2013
Typereview
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsAboriginal Affairs Northern Dev Canada
FundersGlenmark PharmaceuticalsPfizer
KeywordsAdverse effectPharmacologyMedicineSmall moleculeFatty liverBioinformaticsBiologyCancer researchBiochemistryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Stearoyl coenzyme-A desaturase (SCD) is a critical lipogenic enzyme that converts a range of unsaturated lipids to their corresponding monounsaturated fatty acids. Genetic and enzyme-knockdown experiments have suggested an important role of SCD1 in the regulation of various metabolic disorders. With the prognostication that SCD-inhibition may serve to remediate various metabolic diseases, several pharmaceutical companies have embarked on the development of small-molecule SCD-inhibitors, with over 100 patent applications by 17 companies being reported to date. AREAS COVERED: Recent progress on the development of SCD-inhibitors, including preclinical efficacy and safety are reviewed. Strategies toward overcoming systemic adverse events and the establishment of a suitable therapeutic margin for clinical studies are discussed. EXPERT OPINION: Preclinically, SCD-inhibition leads to reductions in body-weight gain, improvements in glucose clearance and improved liver-lipid profile. However, chronic SCD inhibition in skin and eye-lubricating glands results in undesirable adverse events. Several strategies to overcome these findings have been described, including alternative administration routes for acne or oncology applications, use of potent and rapidly cleared compounds and SCD-inhibitors with a liver-targeted tissue distribution profile. The attainment of sufficient therapeutic margin and robust efficacy for therapeutic applications in humans remains a major frontier for SCD-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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.275
GPT teacher head0.441
Teacher spread0.166 · 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

Citations19
Published2013
Admission routes1
Has abstractyes

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