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GPCR Assay Automation for Leveraging Lead Optimization

Mary Ellen Cvijic, Jing Chen, Steve Kubala, Joseph Nolfo, Garrett Kolodin, Litao Zhang

Year
2012
Citations
5
Access
Open access

Abstract

The drug discovery process is dependent on the ability of screening efforts to identify and optimize lead compounds with therapeutic potential. Because G-protein-coupled receptors (GPCRs) account for the most "druggable" targets, the development of high-throughput, low-cost, and high-density GPCR assays to accommodate the increasing size of compound collections is significant. In this study, we report the application of an advanced LEADseeker robotic platform equipped with customized IT solutions for rapid data transfer to reduce assay cycles times for support of GPCR panel screening. The advantages of assay throughput, format, automation design, data management flow, and data reproducibility are discussed in terms of gains in productivity for lead optimization. The GPCR robotic platform demonstrates how automation technology can leverage traditional drug discovery processes by providing consistent and reliable data packages to expedite lead optimization efforts.

Keywords

Lead (geology)AutomationComputer scienceG protein-coupled receptorComputational biologyBiochemical engineeringEngineeringBiologyCell biologySignal transduction

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