Hit Discovery, Discovery Science, AstraZeneca R&D, Cambridge CB2 0AA, UK.
Hit Discovery, Discovery Science, AstraZeneca R&D, Gothenburg SE-431 83, Sweden.
Drug Discov Today. 2024 Oct;29(10):104143. doi: 10.1016/j.drudis.2024.104143. Epub 2024 Aug 22.
Identification of high-quality hit chemical matter is of vital importance to the success of drug discovery campaigns. However, this goal is becoming ever harder to achieve as the targets entering the portfolios of pharmaceutical and biotechnology companies are increasingly trending towards novel and traditionally challenging to drug. This demand has fuelled the development and adoption of numerous new screening approaches, whereby the contemporary hit identification toolbox comprises a growing number of orthogonal and complementary technologies including high-throughput screening, fragment-based ligand design, affinity screening (affinity-selection mass spectrometry, differential scanning fluorimetry, DNA-encoded library screening), as well as increasingly sophisticated computational predictive approaches. Herein we describe how an integrated strategy for hit discovery, whereby multiple hit identification techniques are tactically applied, selected in the context of target suitability and resource priority, represents an optimal and often essential approach to maximise the likelihood of identifying quality starting points from which to develop the next generation of medicines.
鉴定高质量的命中化学物质对于药物发现项目的成功至关重要。然而,随着制药和生物技术公司投资组合中的目标越来越倾向于新型和传统上具有挑战性的药物,这一目标越来越难以实现。这种需求推动了许多新的筛选方法的发展和采用,因此,现代命中鉴定工具包包括越来越多的正交和互补技术,包括高通量筛选、基于片段的配体设计、亲和筛选(亲和选择质谱、差示扫描荧光法、DNA 编码文库筛选),以及越来越复杂的计算预测方法。本文介绍了一种集成的命中发现策略,即战术性地应用多种命中鉴定技术,根据目标适用性和资源优先级进行选择,这是一种优化的、通常是必不可少的方法,可以最大限度地提高从高质量起点中识别出的可能性,从而开发下一代药物。