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1.
Med Res Rev ; 21(6): 523-39, 2001 Nov.
Article in English | MEDLINE | ID: mdl-11607933

ABSTRACT

The aim of this study is to compare crystal structures of nuclear receptor ligand binding domains in complex with different agonists and partial agonists to achieve a better understanding of the three-dimensional structures and their ligand-induced conformational changes. This led to the identification of structurally conserved "rigid" regions and more flexible parts of the proteins. The analysis was found to be of great value in fitting selected non-steroidal compounds into the human estrogen receptor alpha (hER alpha) ligand binding pocket. The experimentally determined binding affinities for a number of 2-aryl indoles and 2-aryl indenones are in good agreement with the subsequently modeled binding interactions. To date, no crystal structure is published for a complex with a pure antagonist. We therefore used the available structural information on complexes with partial agonists and the crystal structure of a mutant protein in complex with estradiol displaying a similar conformation to predict binding interactions for antagonists. The results are discussed in detail.


Subject(s)
Receptors, Estrogen/chemistry , Humans , Ligands , Models, Molecular , Molecular Conformation , Receptors, Estrogen/metabolism
2.
Curr Opin Biotechnol ; 10(6): 550-6, 1999 Dec.
Article in English | MEDLINE | ID: mdl-10600690

ABSTRACT

Estrogen receptors are multi-domain proteins that interact with other proteins and DNA to fulfil their function: the regulation of transcription. During the past 2-3 years, our understanding of this complex process has increased tremendously as crystal structures of isolated ligand-binding domains in complex with various ligands, as well as co-activator peptides, are now available. The structural information, combined with new data on novel co-activators/co-repressors, muteins and their actions, and novel ligands, allows for the first time the development of detailed theories for the first steps of transcription initiation.


Subject(s)
Receptors, Estrogen/metabolism , Amino Acid Sequence , Animals , Dimerization , Humans , Ligands , Molecular Sequence Data , Mutation , Phylogeny , Protein Binding , Protein Conformation , Receptors, Estrogen/chemistry , Receptors, Estrogen/genetics , Sequence Homology, Amino Acid
3.
Biochim Biophys Acta ; 1429(2): 391-400, 1999 Jan 11.
Article in English | MEDLINE | ID: mdl-9989224

ABSTRACT

The aim of this study was to investigate the binding interactions of the human progesterone receptor (hPR) with its natural ligand. Therefore, a homology-derived model of the hPR ligand binding domain has been constructed and used to predict residues potentially involved in interactions with progesterone. These residues and the free cysteines have been mutated (in total 13 residues with 15 mutations). All exchanges have been designed to preserve the three-dimensional structure of the protein. With respect to the binding characteristics towards progesterone, the muteins fall into three groups displaying no, reduced, or wildtype-like binding activity.


Subject(s)
Progesterone/metabolism , Receptors, Progesterone/metabolism , Amino Acid Sequence , Animals , Electrophoresis, Polyacrylamide Gel , Humans , Models, Molecular , Molecular Sequence Data , Mutagenesis, Site-Directed , Point Mutation , Receptors, Progesterone/chemistry , Receptors, Progesterone/genetics , Sequence Alignment
4.
J Med Chem ; 41(11): 1803-14, 1998 May 21.
Article in English | MEDLINE | ID: mdl-9599231

ABSTRACT

On the basis of the recently determined crystal structures of the ligand binding domains (LBDs) of the retinoic acid nuclear receptors (NRs), we present a three-dimensional (3D) molecular model of the human estrogen receptor alpha (hERalpha) LBD. A literature search for mutants affecting the binding properties has been performed; 45 out of 48 published mutants can be explained satisfactorily on the basis of the model. Estradiol has been docked into the binding pocket to probe its interactions with the protein. Energy minimizations and molecular dynamics calculations were performed for various ligand orientations. To evaluate their quality, the different models were scored using known structure-activity relationship (SAR) data for selected close estradiol homologues. The two best models explain largely the binding affinities of more distantly related ligands.


Subject(s)
Models, Molecular , Protein Conformation , Receptors, Estrogen/metabolism , Amino Acid Sequence , Crystallography, X-Ray , Estradiol/analogs & derivatives , Estradiol/chemistry , Estradiol/metabolism , Estrogen Receptor alpha , Humans , Ligands , Molecular Sequence Data , Mutation , Receptors, Estrogen/chemistry , Receptors, Estrogen/genetics , Receptors, Retinoic Acid/chemistry , Receptors, Retinoic Acid/metabolism , Structure-Activity Relationship
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