Cheminformatics analysis of natural products: lessons from nature inspiring the design of new drugs.

Peter Ertl, Ansgar Schuffenhauer
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引用次数: 47

Abstract

Natural products (NPs) have evolved over a very long natural selection process to form optimal interactions with biological macromolecules. NPs are therefore an extremely useful source of inspiration for the design of new drugs. In the present study we report the results of a cheminformatics analysis of more than 130,000 NP structures. The physicochemical properties of NPs and their typical structural features are compared to those of bioactive molecules and average organic molecules. The relationship between the structure of NPs and the type of organism from which they have come has also been analyzed. The aim of this study was to identify those properties and structural features which are typical for NPs and discriminate this class of molecules from common synthetic molecules, with the ultimate goal being to provide a guide for the design of novel NP-like bioactive structures. Hopefully the results of this analysis help to eliminate the old myth about NPs as being 'too complex' or having 'bad properties', as well as help us to focus on these areas of NP structural space which are essential for biological activity, taking advantage of the process of natural selection over billions of years to guide us to new and as yet unexplored areas of the Chemical Structure Universe.

天然产物的化学信息学分析:启发新药设计的自然经验。
天然产物(NPs)经过漫长的自然选择过程进化而形成与生物大分子的最佳相互作用。因此,NPs是新药设计的一个极其有用的灵感来源。在本研究中,我们报告了超过130,000个NP结构的化学信息学分析结果。将NPs的物理化学性质及其典型结构特征与生物活性分子和普通有机分子进行了比较。还分析了NPs的结构与它们来自的生物体类型之间的关系。本研究的目的是确定NPs的典型性质和结构特征,并将这类分子与常见的合成分子区分开来,最终目的是为设计新的类np生物活性结构提供指导。希望这一分析的结果有助于消除关于NP“过于复杂”或具有“不良属性”的旧神话,并帮助我们专注于这些对生物活动至关重要的NP结构空间领域,利用数十亿年的自然选择过程,引导我们进入化学结构宇宙中尚未探索的新领域。
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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