ArticleJournal of computational chemistry2012
In silico screening for agonists and blockers of the β(2) adrenergic receptor: implications of inactive and activated state structures.
Article in Journal of computational chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- Computational Methods for the Discovery and Optimization of TAAR1 and TAAR5 Ligands.International journal of molecular sciences · 2024Review
- AI-based identification of therapeutic agents targeting GPCRs: introducing ligand type classifiers and systems biology.Chemical science · 2023Article
- Review
- Accelerating GPCR Drug Discovery With Conformation-Stabilizing VHHs.Frontiers in molecular biosciences · 2022Review
- Article
- Influence of the Structural Accuracy of Homology Models on Their Applicability to Docking-Based Virtual Screening: The βJournal of chemical information and modeling · 2019Article
- Improving virtual screening of G protein-coupled receptors via ligand-directed modeling.PLoS computational biology · 2017Article
- Structural features embedded in G protein-coupled receptor co-crystal structures are key to their success in virtual screening.PloS one · 2017Article
- Towards predictive docking at aminergic G-protein coupled receptors.Journal of molecular modeling · 2015Article
- Computational studies to predict or explain G protein coupled receptor polypharmacology.Trends in pharmacological sciences · 2014Article
- Conformation guides molecular efficacy in docking screens of activated β-2 adrenergic G protein coupled receptor.ACS chemical biology · 2013Article
- Graph analysis of β2 adrenergic receptor structures: a "social network" of GPCR residues.In silico pharmacology · 2013Article
- New insights for drug design from the X-ray crystallographic structures of G-protein-coupled receptors.Molecular pharmacology · 2012Review
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Ten crystal structures of the β(2) adrenergic receptor have been published, reflecting different signaling states. Here, through controlled-docking experiments, we examined the implications of using inactive or activated structures on the in silico screening for agonists and blockers of the receptor. Specifically, we targeted the crystal structures solved in complex with carazolol (2RH1), the neutral antagonist alprenalol, the irreversible agonist FAUC50 (3PDS), and the full agonist BI-167017 (3P0G). Our results indicate that activated structures favor agonists over blockers, whereas inactive structures favor blockers over agonists. This tendency is more marked for activated than for inactive structures. Additionally, agonists tend to receive more favorable docking scores when docked at activated rather than inactive structures, while blockers do the opposite. Hence, the difference between the docking scores attained with an activated and an inactive structure is an excellent means for the classification of ligands into agonists and blockers as we determined through receiver operating characteristic curves and linear discriminant analysis. With respect to virtual screening, all structures prioritized well agonists and blockers over nonbinders. However, inactive structures worked better for blockers and activated structures worked better for agonists, respectively. Notably, the combination of individual docking experiments through receptor ensemble docking resulted in an excellent performance in the retrieval of both agonists and blockers. Finally, we demonstrated that the induced-fit docking of agonists is a viable way of modifying an inactive crystal structure and bias it toward the in silico recognition of agonists rather than blockers.
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