title: Protein-structure-based prediction of animal model suitability for pharmacodynamic studies of subtype-selective estrogens.
abstract: Subtype-selective estrogens are of increasing importance as tools used to unravel physiological roles of the estrogen receptors, ERalpha and ERbeta, in various species. Although human ERalpha and ERbeta differ by only two amino acids within the binding pockets, we and others recently succeeded in generating subtype-selective agonists. We have proposed that the selectivity of the steroidal compounds 16alpha-lactone-estradiol (16alpha-LE(2), hERalpha selective) and 8beta-vinyl-estradiol (8beta-VE(2), hERbeta selective) is based on the interaction of certain substituents of these compounds with essentially one amino acid in the respective ER binding pockets. For in vitro and ex vivo pharmacological experiments with these compounds we intended to use bovine tissues available from slaughterhouses in larger quantities. Using homology modeling techniques we determined that the amino acid conferring high hERbeta-selectivity to 8beta-VE(2) is not exchanged between human and bovine ERalpha and bovine ERbeta. Thus, we predicted our steroidal hERbeta-selective compound to exhibit only weak agonistic activity at bERbeta and that bovine tissue is therefore not suited for investigation of ERbeta functions. The situation is presumably identical for pig, sheep, and the common marmoset, whereas rats, mice, and rhesus macaques are appropriate animal models to study pharmacological effects of 8beta-VE(2) in vivo. This prediction was confirmed in transactivation studies assessing estradiol (E(2)) and the two subtype-selective ligands on bovine ERbeta and on a series of hERalpha and hERbeta with mutations in their respective ligand-binding pockets. We have shown that the detailed understanding of the interactions of a compound with its target protein enables the identification of relevant species for pharmacological studies.
authors.affiliation: Department of Genomics and Bioinformatics, Schering AG, Müllerstrasse 170-178, 13342 Berlin, Germany. luisella.toschi@schering.de
authors.forename: Luisella
authors.initials: L
authors.lastname: Toschi
authors.forename: Jochen
authors.initials: J
authors.lastname: Hilbig
authors.forename: Tim
authors.initials: T
authors.lastname: Wintermantel
authors.forename: Adelheid
authors.initials: A
authors.lastname: Engelhaupt
authors.forename: Alexander
authors.initials: A
authors.lastname: Walter
authors.forename: Karl-Heinrich
authors.initials: KH
authors.lastname: Fritzemeier
authors.forename: Alexander
authors.initials: A
authors.lastname: Hillisch
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D004967:Estrogens / Q000494:pharmacology*; D023421:Models, Animal; D008969:Molecular Sequence Data; D016297:Mutagenesis, Site-Directed; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D017386:Sequence Homology, Amino Acid
chemical_list: D004967:Estrogens; D011506:Proteins