Pharmacophore Mapping of Selective Binding Affinity of Estrogen Modulators Through Classical and Space Modeling Approaches: Exploration of Bridged‐Cyclic Compounds with Diarylethylene Linkage.
“…A receptor-independent pharmacophore mapping model was proposed by Mukherjee et al [47] to visualize the pharmacophores of ER a and b based on the binding affinities of 14 bridged bicyclic-1 and 20 1-diarylethylene derivatives. The models for ER subtypes demonstrated the importance of the critical inter-feature distances among H-bond acceptor, hydrophobic and ring aromatic features, along with steric influence primarily governing the ER-subtypes specific binding of scaffolds containing the 1,1-diaryl compounds of SERMs.…”
With the goal of reducing toxicity and/or improving efficacy, challenges to the successful modeling of endocrine agents are proposed, providing new paradigms for the design of ER inhibitors.
“…A receptor-independent pharmacophore mapping model was proposed by Mukherjee et al [47] to visualize the pharmacophores of ER a and b based on the binding affinities of 14 bridged bicyclic-1 and 20 1-diarylethylene derivatives. The models for ER subtypes demonstrated the importance of the critical inter-feature distances among H-bond acceptor, hydrophobic and ring aromatic features, along with steric influence primarily governing the ER-subtypes specific binding of scaffolds containing the 1,1-diaryl compounds of SERMs.…”
With the goal of reducing toxicity and/or improving efficacy, challenges to the successful modeling of endocrine agents are proposed, providing new paradigms for the design of ER inhibitors.
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