scholarly journals Ligand Binding Affinities of Arctigenin and Its Demethylated Metabolites to Estrogen Receptor Alpha

Molecules ◽  
2013 ◽  
Vol 18 (1) ◽  
pp. 1122-1127 ◽  
Author(s):  
Jong-Sik Jin ◽  
Jong-Hyun Lee ◽  
Masao Hattori
2003 ◽  
Vol 75 (11-12) ◽  
pp. 2397-2403 ◽  
Author(s):  
J. A. Katzenellenbogen ◽  
R. Muthyala ◽  
B. S. Katzenellenbogen

The ligand-binding pockets of estrogen receptor alpha and beta (ERα and ERβ) appear to have subpockets of different size and flexibility. To find ligands that will discriminate between the two ER subtypes on the basis of affinity or efficacy, we have prepared compounds of varying size, shape and structure. We have evaluated the binding affinity of these compounds and their potency and efficacy as transcriptional activators through ERα and ERβ. In this manner, we have identified a number of ligands that show pronounced ER subtype selectivity. These studies also highlight the eclectic structure–activity relationships of estrogens and the challenges inherent in developing computational methods for the prediction of estrogenic activity.


eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Sean W Fanning ◽  
Christopher G Mayne ◽  
Venkatasubramanian Dharmarajan ◽  
Kathryn E Carlson ◽  
Teresa A Martin ◽  
...  

Somatic mutations in the estrogen receptor alpha (ERα) gene (ESR1), especially Y537S and D538G, have been linked to acquired resistance to endocrine therapies. Cell-based studies demonstrated that these mutants confer ERα constitutive activity and antiestrogen resistance and suggest that ligand-binding domain dysfunction leads to endocrine therapy resistance. Here, we integrate biophysical and structural biology data to reveal how these mutations lead to a constitutively active and antiestrogen-resistant ERα. We show that these mutant ERs recruit coactivator in the absence of hormone while their affinities for estrogen agonist (estradiol) and antagonist (4-hydroxytamoxifen) are reduced. Further, they confer antiestrogen resistance by altering the conformational dynamics of the loop connecting Helix 11 and Helix 12 in the ligand-binding domain of ERα, which leads to a stabilized agonist state and an altered antagonist state that resists inhibition.


2021 ◽  
Author(s):  
David J Hosfield ◽  
Sandra Weber ◽  
Nan-Sheng Li ◽  
Madline Suavage ◽  
Emily Sullivan ◽  
...  

Chemical manipulation of estrogen receptor alpha ligand binding domain structural mobility tunes receptor lifetime and influences breast cancer therapeutic activities. Selective estrogen receptor modulators (SERMs) extend ERα cellular lifetime, accumulation, and are antagonists in the breast and agonists in the uterine epithelium and/or in bone. Selective estrogen receptor degraders (SERDs) reduce ERα cellular lifetime/accumulation and are pure antagonists. Activating somatic ESR1 mutations Y537S and D538G enable resistance to first-line endocrine therapies. SERDs have shown significant activities in ESR1 mutant setting while few SERMs have been studied. To understand whether chemical manipulation of ERα cellular lifetime and accumulation influences antagonistic activity, we synthesized a series of methylpyrollidine lasofoxifene derivatives that maintained the drug’s antagonistic activities while uniquely tuning ERα cellular accumulation. These molecules were examined alongside a panel of antiestrogens in live cell assays of ERα cellular accumulation, lifetime, SUMOylation, and transcriptional antagonism. High-resolution x-ray crystal structures of WT and Y537S ERα ligand binding domain in complex with the methylated lasofoxifene derivatives, SERMs, and SERDs show that molecules that favor a highly buried helix 12 conformation achieve the greatest transcriptional suppression activities. Together these results show that chemical reduction of ERα cellular lifetime does not necessarily correlate with transcriptional antagonism in ESR1 mutated breast cancer cells. Importantly, our approach shows how minor chemical additions modulate receptor cellular lifetime while maintaining other activities to achieve desired SERM or SERD profiles.


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