Department of Chemistry, University of York, Heslington, York YO10 5DD, UK.
Division of Medicinal Chemistry, Amsterdam Institute of Molecular and Life Sciences (AIMMS), Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ Amsterdam, the Netherlands.
Drug Discov Today. 2022 Sep;27(9):2484-2496. doi: 10.1016/j.drudis.2022.05.021. Epub 2022 May 27.
In fragment-based drug discovery (FBDD), there is a developing appreciation that 3D fragments could offer opportunities that are not provided by 2D fragments. This review provides an overview of the synthetic strategies that have been used to prepare 3D fragments, as discussed in 25 papers published from 2011 to mid-May 2020. Three distinct strategies are highlighted: (i) diversity-oriented synthesis; (ii) the synthesis and diversification of scaffolds; and (iii) computational design and synthesis (where 3D fragments were computationally enumerated and filtered on the basis of computationally generated 3D shape descriptors and other properties). We conclude that a workflow that combines computational design and one other strategy, together with a consideration of fragment properties, 3D shape and 'fragment sociability', could allow 3D fragments to feature more widely in fragment libraries and could facilitate fragment-to-lead optimisation.
在基于片段的药物发现(FBDD)中,人们越来越认识到 3D 片段可以提供 2D 片段无法提供的机会。这篇综述概述了 2011 年至 2020 年 5 月中旬发表的 25 篇论文中讨论的用于制备 3D 片段的合成策略。重点介绍了三种不同的策略:(i)多样性导向合成;(ii)支架的合成和多样化;和(iii)计算设计和合成(其中通过基于计算生成的 3D 形状描述符和其他性质对 3D 片段进行计算枚举和过滤)。我们得出的结论是,将计算设计与其他策略相结合的工作流程,以及对片段性质、3D 形状和“片段社交性”的考虑,可以使 3D 片段在片段库中得到更广泛的应用,并有助于片段到先导物的优化。