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.
Department of Chemistry, University of York, Heslington, York, YO10 5DD, UK.
Drug Discov Today Technol. 2020 Dec;38:77-90. doi: 10.1016/j.ddtec.2021.05.001. Epub 2021 Jun 17.
Fragment-based drug discovery (FBDD) has grown into a well-established approach in the pursuit of new therapeutics. Key to the success of FBDD is the low molecular complexity of the initial hits and this has resulted in fragment libraries that mainly contain compounds with a two-dimensional (2D) shape. In an effort to increase the chemical diversity and explore the impact of increased molecular complexity on the hit rate of fragment library screening, several academic and industrial groups have designed and synthesised novel fragments with a three-dimensional (3D) shape. This review provides an overview of 25 synthetic 3D fragment libraries from the recent literature. We calculate and compare physicochemical properties and descriptors that are typically used to measure molecular three-dimensionality such as fraction sp (Fsp), plane of best fit (PBF) scores and principal moment of inertia (PMI) plots. Although the libraries vary widely in structure and properties, some key common features can be identified which may have utility in designing the next generation of 3D fragment libraries.
基于片段的药物发现(FBDD)已成为一种成熟的方法,用于追求新的治疗方法。FBDD 的成功关键在于初始命中物的低分子复杂性,这导致了片段文库主要包含具有二维(2D)形状的化合物。为了增加化学多样性并探索增加分子复杂性对片段文库筛选命中率的影响,一些学术和工业团体已经设计和合成了具有三维(3D)形状的新型片段。本综述概述了来自近期文献的 25 个合成 3D 片段文库。我们计算并比较了通常用于测量分子三维性的物理化学性质和描述符,例如分数 sp(Fsp)、最佳拟合平面(PBF)分数和主惯性矩(PMI)图。尽管这些文库在结构和性质上差异很大,但可以确定一些关键的共同特征,这些特征可能有助于设计下一代 3D 片段文库。