Escape from planarity in fragment-based drug discovery: A physicochemical and 3D property analysis of synthetic 3D fragment libraries

Q1 Pharmacology, Toxicology and Pharmaceutics
David J. Hamilton , Tom Dekker , Hanna F. Klein , Guido V. Janssen , Maikel Wijtmans , Peter O’Brien , Iwan J.P. de Esch
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引用次数: 11

Abstract

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 sp3 (Fsp3), 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.

在基于片段的药物发现中逃避平面性:合成三维片段文库的物理化学和三维性质分析
基于片段的药物发现(FBDD)已经发展成为一种成熟的新治疗方法。FBDD成功的关键是初始命中的低分子复杂性,这导致片段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和探索增加分子复杂性对片段库筛选命中率的影响,一些学术和工业团体设计并合成了具有三维(3D)形状的新型片段。这篇综述从最近的文献中提供了25个合成3D片段库的概述。我们计算并比较了通常用于测量分子三维度的物理化学性质和描述符,如分数sp3 (Fsp3),最佳拟合平面(PBF)分数和主惯性矩(PMI)图。尽管这些库在结构和属性上差异很大,但可以确定一些关键的共同特征,这些特征可能在设计下一代3D片段库时具有实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Drug Discovery Today: Technologies
Drug Discovery Today: Technologies Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
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期刊介绍: Discovery Today: Technologies compares different technological tools and techniques used from the discovery of new drug targets through to the launch of new medicines.
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