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Updated: May 31, 2026

A "Dual-Addition" Calcium Fluorescence Assay for the High-Throughput Screening of Recombinant G Protein-Coupled Receptors
Published on: December 2, 2022
G-protein coupled receptors virtual screening using genetic algorithm focused chemical space.
Carleton Sage1, Runtong Wang, Gareth Jones
1Computational Systems, Arena Pharmaceuticals, San Diego, California 92121, USA. csage@arenapharm.com
A new method, GAFDAS, improves ligand-based virtual screening (LBVS) for G-protein coupled receptors (GPCRs). It uses a genetic algorithm to select focused descriptors, enhancing the early identification of potential drug compounds.
Area of Science:
- Computational chemistry
- Drug discovery
- Bioinformatics
Background:
- Ligand-based virtual screening (LBVS) leverages compound activity data for target identification.
- G-protein coupled receptors (GPCRs) are crucial drug targets, necessitating efficient screening methods.
- Existing methods face challenges in handling large, complex datasets.
Purpose of the Study:
- To develop an advanced LBVS method for GPCRs.
- To enhance screening collection and facilitate hit expansion.
- To improve the selection of active compounds from large databases.
Main Methods:
- Implemented a modified descriptor selection method (rBDACCS) by removing correlated descriptors.
- Extended rBDACCS with a genetic algorithm (GA) for target-specific descriptor selection, creating GAFDAS.
- Validated GAFDAS and rBDACCS using 252 GPCR/ligand sets against decoy databases.
Main Results:
- Both rBDACCS and GAFDAS demonstrated effectiveness in LBVS.
- GAFDAS consistently outperformed rBDACCS in the early selection of active compounds.
- The genetic algorithm approach optimized descriptor sets for improved screening performance.
Conclusions:
- GAFDAS offers a superior approach for LBVS, particularly for GPCR targets.
- Target-specific descriptor selection via genetic algorithms enhances compound identification accuracy.
- The developed method holds significant potential for accelerating drug discovery efforts.
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