A robust and efficient FRET-based assay for cannabinoid receptor ligands discovery
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Abstract
The identification of new modulators for Cannabinoid Receptors (CBRs) has garnered significant attention in drug discovery over recent years, owing to their manifold pathophysiological implications. In the context of hit identification, the availability of robust and sensitive high-throughput screening assays is essential to enhance the likelihood of success. In this study, we present the development and validation of a Tag-lite® binding assay designed for screening hCB1/hCB2 binding, employing a dual fluorescent ligand, CELT-335. Representative ligands for CBRs, exhibiting diverse affinity and functional profiles, were utilized as reference compounds to validate the robustness and efficiency of the newly developed Tag-lite® binding assay protocol. The homogeneous format, coupled with the sensitivity and optimal performance of the fluorescent ligand CELT-335, establishes this assay as a viable and reliable method for screening in hit and lead identification campaigns
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Navarro, G., Sotelo, E., Raïch, I., Loza, M. I., Brea, J., & Majellaro, M. (2023). A Robust and Efficient FRET-Based Assay for Cannabinoid Receptor Ligands Discovery. Molecules, 28(24), 8107. https://doi.org/10.3390/molecules28248107
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https://doi.org/10.3390/molecules28248107Sponsors
This research was partially funded by XUNTA DE GALICIA, Agencia Galega de Investigación IGNICIA program, grant number PID2020-113430RB-I00, the Consellería de Cultura, Educación e Ordenación Universitaria of the Galician Government [D431B 2020/43], Centro Singular de Investigación de Galicia accreditation 2019–2022 [ED431G 2019/03] and the European Regional Development Fund (ERDF)
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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
Attribution 4.0 International
Attribution 4.0 International








