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Updated: Feb 17, 2026

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Parallel Interrogation of β-Arrestin2 Recruitment for Ligand Screening on a GPCR-Wide Scale using PRESTO-Tango Assay
Published on: March 10, 2020
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Methods for Virtual Screening of GPCR Targets: Approaches and Challenges
1University of Texas MD Anderson Cancer Center, Houston, TX, 77054, USA. jbcross@mdanderson.org.
Methods in Molecular Biology (Clifton, N.J.)
|December 1, 2017
Summary
Virtual screening (VS) aids drug discovery for G protein-coupled receptors (GPCRs). Integrating structural data enhances VS success for identifying novel drug candidates, despite ongoing challenges.
Area of Science:
- Computational chemistry and drug discovery.
- Pharmacology and structural biology.
Background:
- Virtual screening (VS) is crucial for identifying novel drug starting points, particularly for G protein-coupled receptors (GPCRs).
- Ligand-based VS, utilizing known active compound data, has a proven track record across diverse GPCR targets.
- Advances in GPCR X-ray crystallography now enable the integration of detailed structural information into VS.
Purpose of the Study:
- To review the latest virtual screening techniques applicable to GPCR drug discovery.
- To provide examples of successful applications of these advanced VS methods.
- To discuss best practices and current challenges in optimizing VS for GPCR targets.
Main Methods:
- Exploration of ligand-based virtual screening approaches.
- Integration of structural information from GPCR X-ray crystallography into VS workflows.
- Case studies illustrating successful virtual screening campaigns.
Main Results:
- Demonstration of various state-of-the-art VS techniques.
- Highlighting successful identification of novel chemical starting points for GPCRs.
- Presentation of practical examples and case studies.
Conclusions:
- Virtual screening, especially when incorporating structural data, is a powerful strategy for GPCR drug discovery.
- Adherence to best practices can significantly improve the success rate of VS campaigns.
- Continued research and methodological advancements are needed to address existing challenges in VS for GPCRs.
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