第六章。筛选技术

F. Sheinerman
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引用次数: 0

摘要

筛选先进的化合物可以发现直接重新利用的候选药物,用于优化的新型药物样线索,以及信息丰富的药理学探针。在本章中,我们描述了用于药物再利用的不同类型的筛选集合,讨论了准备和执行再利用筛选时的问题和注意事项,并介绍了体外和体内再利用测定的示例。我们进一步描述了报告不同类型去风险化合物信息的各种数据源,并说明了如何使用数据挖掘和化学信息学和化学基因组学搜索来获取大量高级化合物,并组装最适合在给定疾病模型中筛选的集合。我们认为,将筛查作为寻找临床试验候选人的大规模赌注的观点是狭隘和不完整的。相反,如果经过深思熟虑的执行,再风险化合物的筛选是根据目标病理生物学来进行的,并提供了一种有效的方法,将复杂的非临床模型的发展进展和疾病机制的新见解转化为新的药物样线索和候选开发。
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Chapter 6. Screening Technologies
Screening advanced compounds enables discovery of direct repurposing candidates, novel drug-like leads for optimization, and informative pharmacological probes. In this chapter, we describe different types of screening collections used in drug repurposing, discuss issues and considerations in preparing and executing a repurposing screen, and present examples of in vitro and in vivo repurposing assays. We further describe various data sources reporting information on de-risked compounds of different types and illustrate how data mining and chemoinformatic and chemogenomic searches can be used to access large numbers of advanced compounds and assemble collections most suitable for screening in a given disease model. We argue that a view of repurposing screening as a large-scale bet on finding candidates for clinical testing is narrow and incomplete. Rather, when thoughtfully executed, screening of re-risked compounds is informed by target pathobiology and offers a means to efficiently convert advances in the development of sophisticated non-clinical models and new insights in disease mechanisms into novel drug-like leads and candidates for development.
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Chapter 2. Role of Academia: Drug Repurposing to Induce Autophagy for Treatment of Neurodegenerative Diseases Chapter 11. Harnessing the Potential of Early Access: Advancing Timely Patient Access to Innovative Medicines in a Sustainable Way Chapter 8. Using Artificial Intelligence for Drug Repurposing Chapter 14. Regulatory Considerations and Strategies for Drug Repositioning Chapter 7. Cheminformatics Data Mining and Modeling for Drug Repurposing
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