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Record W2003550137 · doi:10.1021/jm058179h

Androsterone 3α-Ether-3β-Substituted and Androsterone 3β-Substituted Derivatives as Inhibitors of Type 3 17β-Hydroxysteroid Dehydrogenase:  Chemical Synthesis and Structure−Activity Relationship

2005· article· en· W2003550137 on OpenAlexafffund
Béatrice Tchédam Ngatcha, Fernand Labrie, Donald Poirier

Bibliographic record

VenueJournal of Medicinal Chemistry · 2005
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsWilfrid Laurier UniversityUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsChemistryAndrosteroneHydroxysteroid dehydrogenaseStereochemistryEtherDehydrogenaseEnzymeEnzyme inhibitorChemical synthesisAndrogenSteroidBiochemistryIn vitroOrganic chemistryHormone

Abstract

fetched live from OpenAlex

Type 3 17beta-hydroxysteroid dehydrogenase (17beta-HSD) is involved in the biosynthesis of androgen testosterone. To produce potent inhibitors of this key steroidogenic enzyme, we prepared a series of androsterone (ADT) derivatives by adding a variety of substituents at position 3. The 3beta-substituted ADT derivatives proved to be good inhibitors (IC(50) = 57-147 nM) with better inhibitory activities obtained for compounds bearing a propyl, s-butyl, cyclohexylalkyl, or phenylalkyl group. With an IC(50) value of 57 nM, the 3beta-phenylmethyl-ADT was 6-fold more potent than ADT, the lead compound, and 13-fold more potent than 4-androstene-3,17-dione, the natural enzyme substrate used itself as inhibitor. The 3alpha-ether-3beta-substituted ADT derivatives had a lower inhibitory activity compared to the 3beta-substituted ADT analogues except for the 3beta-phenylethyl-3alpha-methl-O-ADT (IC(50) = 73 nM), which proved to be a more potent inhibitor than 3beta-phenylethyl-ADT (IC(50) = 99 nM). The results of our study identified potent type 3 17beta-HSD inhibitors for potential use in the treatment of androgen-sensitive diseases.

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)0.001
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 score0.013
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.017
GPT teacher head0.265
Teacher spread0.248 · 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

Citations46
Published2005
Admission routes2
Has abstractyes

Explore more

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