Protein-based virtual screening of chemical databases. II. Are homology models of g-protein coupled receptors suitable targets?

The aim of the current study is to investigate whether homology models of G‐Protein‐Coupled Receptors (GPCRs) that are based on bovine rhodopsin are reliable enough to be used for virtual screening of chemical databases. Starting from the recently described 2.8 Å‐resolution X‐ray structure of bovine...

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Veröffentlicht in:	Proteins, structure, function, and bioinformatics structure, function, and bioinformatics, 2003-01, Vol.50 (1), p.5-25
Hauptverfasser:	Bissantz, Caterina, Bernard, Philippe, Hibert, Marcel, Rognan, Didier
Format:	Artikel
Sprache:	eng
Schlagworte:	Adrenergic beta-2 Receptor Agonists Algorithms Amino Acid Sequence Animals Antidiuretic Hormone Receptor Antagonists Cattle Computational Biology - methods Computer Simulation Databases, Factual docking Dopamine D2 Receptor Antagonists Drug Delivery Systems GPCRs Heterotrimeric GTP-Binding Proteins - metabolism homology modeling Humans Ligands Models, Molecular Molecular Sequence Data Receptor, Muscarinic M1 Receptors, Adrenergic, beta-2 - chemistry Receptors, Cell Surface - agonists Receptors, Cell Surface - antagonists & inhibitors Receptors, Cell Surface - chemistry Receptors, Dopamine D2 - agonists Receptors, Dopamine D2 - chemistry Receptors, Dopamine D3 Receptors, Muscarinic - chemistry Receptors, Opioid, delta - agonists Receptors, Opioid, delta - chemistry Receptors, Vasopressin - chemistry Rhodopsin - chemistry scoring Sequence Alignment Sequence Homology, Amino Acid structure-based ligand design
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