Current advances in the use of bioluminescence assays for drug discovery: an update of the last ten years.

IF 6 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Expert Opinion on Drug Discovery Pub Date : 2024-01-01 Epub Date: 2024-01-08 DOI:10.1080/17460441.2023.2266989
Maria Maddalena Calabretta, Elisa Michelini
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引用次数: 0

Abstract

Introduction: Bioluminescence is a well-established optical detection technique widely used in several bioanalytical applications, including high-throughput and high-content screenings. Thanks to advances in synthetic biology techniques and deep learning, a wide portfolio of luciferases is now available with tuned emission wavelengths, kinetics, and high stability. These luciferases can be implemented in the drug discovery and development pipeline, allowing high sensitivity and multiplexing capability.

Areas covered: This review summarizes the latest advancements of bioluminescent systems as toolsets in drug discovery programs for in vitro applications. Particular attention is paid to the most advanced bioluminescence-based technologies for drug screening over the past 10 years (from 2013 to 2023) such as cell-free assays, cell-based assays based on genetically modified cells, bioluminescence resonance energy transfer, and protein complementation assays in 2D and 3D cell models.

Expert opinion: The availability of tuned bioluminescent proteins with improved emission and stability properties is vital for the development of bioluminescence assays for drug discovery, spanning from reporter gene technology to protein-protein techniques. Further studies, combining machine learning with synthetic biology, will be necessary to obtain new tools for sustainable and highly predictive bioluminescent drug discovery platforms.

生物发光分析用于药物发现的最新进展:过去十年的更新。
简介:生物发光是一种成熟的光学检测技术,广泛应用于多种生物分析应用,包括高通量和高含量筛选。由于合成生物学技术和深度学习的进步,现在可以获得具有调谐发射波长、动力学和高稳定性的广泛荧光素酶组合。这些荧光素酶可以在药物发现和开发过程中实现,具有高灵敏度和多路复用能力。涵盖的领域:这篇综述总结了生物发光系统作为体外应用药物发现计划工具集的最新进展。在过去的10年里,人们特别关注最先进的基于生物发光的药物筛选技术 年(2013年至2023年),如无细胞测定、基于转基因细胞的细胞测定、生物发光共振能量转移以及2D和3D细胞模型中的蛋白质互补测定。专家意见:具有改进的发射和稳定性的调谐生物发光蛋白的可用性对于开发用于药物发现的生物发光分析至关重要,从报告基因技术到蛋白质-蛋白质技术。将机器学习与合成生物学相结合的进一步研究对于获得可持续和高度预测性的生物发光药物发现平台的新工具是必要的。
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来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.
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