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Structural characterization of a subtype-selective ligand reveals a novel mode of estrogen receptor antagonism

Authors: Benita S. Katzenellenbogen; John A. Katzenellenbogen; Danielle Barstad; Kendall W. Nettles; Andrew K. Shiau; Geoffrey L. Greene; James T. Radek; +2 Authors

Structural characterization of a subtype-selective ligand reveals a novel mode of estrogen receptor antagonism

Abstract

The R,R enantiomer of 5,11-cis-diethyl-5,6,11,12-tetrahydrochrysene-2,8-diol (THC) exerts opposite effects on the transcriptional activity of the two estrogen receptor (ER) subtypes, ER alpha and ER beta. THC acts as an ER alpha agonist and as an ER beta antagonist. We have determined the crystal structures of the ER alpha ligand binding domain (LBD) bound to both THC and a fragment of the transcriptional coactivator GRIP1, and the ER beta LBD bound to THC. THC stabilizes a conformation of the ER alpha LBD that permits coactivator association and a conformation of the ER beta LBD that prevents coactivator association. A comparison of the two structures, taken together with functional data, reveals that THC does not act on ER beta through the same mechanisms used by other known ER antagonists. Instead, THC antagonizes ER beta through a novel mechanism we term 'passive antagonism'.

Keywords

Models, Molecular, Binding Sites, Estrogen Receptor alpha, Crystallography, X-Ray, Ligands, Chrysenes, Peptide Fragments, Protein Structure, Tertiary, Substrate Specificity, Nuclear Receptor Coactivator 2, Structure-Activity Relationship, Receptors, Estrogen, Estrogen Receptor beta, Humans, Transcription Factors

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Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
345
Top 10%
Top 1%
Top 1%