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Record W2142845455 · doi:10.2174/156802606775270279

Control of Chronic Inflammation with Pathway Selective Estrogen Receptor Ligands

2006· review· en· W2142845455 on OpenAlexaff
Robert J. Steffan, Edward Matelan, Mark A. Ashwell, William Moore, William R. Solvibile, Eugene J. Trybulski, Christopher C. Chadwick, Susan Chippari, Thomas Kenney, Richard C. Winneker, A Eckert, Lisa Borges-Marcucci, Steven J. Adelman, Xu Zhang, Lydia Mosyak, Douglas C. Harnish

Bibliographic record

VenueCurrent Topics in Medicinal Chemistry · 2006
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsInflammationEstrogen receptorEstrogenReceptorChemistryPharmacologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

The discovery of novel intervention points in the inflammatory pathway has been a focus of drug development in recent years. We have identified pathway selective ligands for the estrogen receptor (ER) that inhibit NF-kappaB mediated inflammatory gene expression causing a reduction of cytokines, chemokines, adhesion molecules and inflammatory enzymes. SAR development of a series of 4-(Indazol-3-yl)-phenols has led to the identification of WAY-169916 an orally active non-steroidal ligand with the potential use in the treatment of inflammatory diseases without the classical proliferative effects associated with non-selective estrogens.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.001
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 head0.009
GPT teacher head0.281
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.

Study designOther design
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

Citations13
Published2006
Admission routes1
Has abstractyes

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