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Structure-Based Design of Estrogen Receptor-β Selective Ligands

Authors: Eric S, Manas; Rayomand J, Unwalla; Zhang B, Xu; Michael S, Malamas; Chris P, Miller; Heather A, Harris; Chulai, Hsiao; +9 Authors

Structure-Based Design of Estrogen Receptor-β Selective Ligands

Abstract

We present the structure-based optimization of a series of estrogen receptor-beta (ERbeta) selective ligands. X-ray cocrystal structures of these ligands complexed to both ERalpha and ERbeta are described. We also discuss how molecular modeling was used to take advantage of subtle differences between the two binding cavities in order to optimize selectivity for ERbeta over ERalpha. Quantum chemical calculations are utilized to gain insight into the mechanism of selectivity enhancement. Despite only two relatively conservative residue substitutions in the ligand binding pocket, the most selective compounds have greater than 100-fold selectivity for ERbeta relative to ERalpha when measured using a competitive radioligand binding assay.

Related Organizations
Keywords

Male, Models, Molecular, Benzoxazoles, Binding Sites, Protein Conformation, Molecular Sequence Data, Estrogen Receptor alpha, Crystallography, X-Ray, Ligands, Binding, Competitive, Substrate Specificity, Radioligand Assay, Structure-Activity Relationship, Estrogen Receptor beta, Humans, Quantum Theory, Amino Acid Sequence, Benzofurans

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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!
170
Top 10%
Top 10%
Top 1%
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