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Tools for GPCR drug discovery
Open accessAbstract
G-protein-coupled receptors (GPCRs) mediate many important physiological functions and are considered as one of the most successful therapeutic targets for a broad spectrum of diseases. The design and implementation of high-throughput GPCR assays that allow the cost-effective screening of large compound libraries to identify novel drug candidates are critical in early drug discovery. Early functional GPCR assays depend primarily on the measurement of G-protein-mediated 2nd messenger generation. Taking advantage of the continuously deepening understanding of GPCR signal transduction, many G-protein-independent pathways are utilized to detect the activity of GPCRs, and may provide additional information on functional selectivity of candidate compounds. With the combination of automated imaging systems and label-free detection systems, such assays are now suitable for high-throughput screening (HTS). In this review, we summarize the most widely used GPCR assays and recent advances in HTS technologies for GPCR drug discovery.
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Inositol trisphosphate and calcium signalling
Berridge, M. J. (1993) · Nature · doi:10.1038/361315a0 · Cited by 6,545
Crystal Structure of Rhodopsin: A G Protein-Coupled Receptor
Palczewski, K., Kumasaka, T., Hori, T., Behnke, C. A., Motoshima, H., Fox, B. A., Trong, I. L., Teller, D. C., Okada, T., Stenkamp, R. E., et al. (2000) · Science · doi:10.1126/science.289.5480.739 · Cited by 5,637
The GTPase superfamily: conserved structure and molecular mechanism
Bourne, H. R., Sanders, D. A., & McCormick, F. (1991) · Nature · doi:10.1038/349117a0 · Cited by 3,392
Crystal structure of the β2 adrenergic receptor–Gs protein complex
Rasmussen, S. G. F., DeVree, B. T., Zou, Y., Kruse, A. C., Chung, K. Y., Kobilka, T. S., Thian, F. S., Chae, P. S., Pardon, E., Calinski, D., et al. (2011) · Nature · doi:10.1038/nature10361 · Cited by 3,009
Fredriksson, R., Lagerström, M. C., Lundin, L.-G., & Schiöth, H. B. (2003) · Molecular Pharmacology · doi:10.1124/mol.63.6.1256 · Cited by 2,941
Degorce, F. (2009) · Current Chemical Genomics · doi:10.2174/1875397300903010022 · Cited by 501
Hamdan, F. F., Audet, M., Garneau, P., Pelletier, J., & Bouvier, M. (2005) · SLAS Discovery · doi:10.1177/1087057105275344 · Cited by 183
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De Vrieze, L. M., Walton, S. E., Pottie, E., Papsun, D., Logan, B. K., Krotulski, A. J., Stove, C. P., & Vandeputte, M. M. (2024) · Archives of Toxicology · doi:10.1007/s00204-024-03774-7 · Cited by 58
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Metadata
- Authors
- Zhang, R., & Xie, X.
- Venue
- Acta Pharmacologica Sinica
- Published
- 2012-01-23
- Volume
- 33
- Issue
- 3
- Pages
- 372-384
- ISSN
- 0253-9756 (ISSN-L)
- 1671-4083
- 1745-7254
- OpenAlex
- W1981385111
- Cited by
- 317
- References
- 7
- FWCI
- 8.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
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