ArticleProteins2012
Do crystal structures obviate the need for theoretical models of GPCRs for structure-based virtual screening?
Article in Proteins, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Homology Modeling of the G Protein-Coupled Receptors.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Article
- A Chemosensory GPCR as a Potential Target to Control the Root-Knot NematodeMolecules (Basel, Switzerland) · 2019Article
- GPCRs from fusarium graminearum detection, modeling and virtual screening - the search for new routes to control head blight disease.BMC bioinformatics · 2016Article
- Multiple conformational states in retrospective virtual screening - homology models vs. crystal structures: beta-2 adrenergic receptor case study.Journal of cheminformatics · 2015Article
- Protein structure prediction provides comparable performance to crystallographic structures in docking-based virtual screening.Methods (San Diego, Calif.) · 2015Article
- Modelling three-dimensional protein structures for applications in drug design.Drug discovery today · 2014Review
- Development of 7TM receptor-ligand complex models using ligand-biased, semi-empirical helix-bundle repacking in torsion space: application to the agonist interaction of the human dopamine D2 receptor.Journal of computer-aided molecular design · 2013Article
- Molecular determinants of ligand binding at the human histamine HJournal of chemical and pharmaceutical research · 2012Article
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Authors and funding
4 authors.
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Abstract
Recent highly expected structural characterizations of agonist-bound and antagonist-bound beta-2 adrenoreceptor (β2AR) by X-ray crystallography have been widely regarded as critical advances to enable more effective structure-based discovery of GPCRs ligands. It appears that this very important development may have undermined many previous efforts to develop 3D theoretical models of GPCRs. To address this question directly, we have compared several historical β2AR models versus the inactive state and nanobody-stabilized active state of β2AR crystal structures in terms of their structural similarity and effectiveness of use in virtual screening for β2AR specific agonists and antagonists. Theoretical models, incluing both homology and de novo types, were collected from five different groups who have published extensively in the field of GPCRs modeling. All models were built before X-ray structures became available. In general, β2AR theoretical models differ significantly from the crystal structure in terms of TMH definition and the global packing. Nevertheless, surprisingly, several models afforded hit rates resulting from virtual screening of large chemical library enriched by known β2AR ligands that exceeded those using X-ray structures. The hit rates were particularly higher for agonists. Furthemore, the screening performance of models is associated with local structural quality, such as the RMSDs for binding pocket residues and the ability to capture accurately, most if not all critical protein/ligand interactions. These results suggest that carefully built models of GPCRs could capture critical chemical and structural features of the binding pocket, and thus may be even more useful for practical structure-based drug discovery than X-ray structures.
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