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首页> 外文期刊>Journal of chemical information and modeling >Visual characterization and diversity quantification of chemical libraries: 1. Creation of delimited reference chemical subspaces
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Visual characterization and diversity quantification of chemical libraries: 1. Creation of delimited reference chemical subspaces

机译:化学文库的视觉表征和多样性定量:1.创建分隔的参考化学子空间

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High-throughput screening (HTS) is a well-established technology which can test up to several million compounds in a few weeks. Despite these appealing capabilities, available resources and high costs may limit the number of molecules screened, making diversity analysis a method of choice to design and prioritize screening libraries. With a constantly increasing number of molecules available for screening, chemical space has become a key concept for visualizing, analyzing, and comparing chemical libraries. In this first article, we present a new method to build delimited reference chemical subspaces (DRCS). A set of 16 million screening compounds from 73 chemical providers has been gathered, resulting in a database of 6.63 million standardized and unique molecules. These molecules have been used to create three DRCS using three different sets of chemical descriptors. A robust principal component analysis model for each space has been obtained, whereby molecules are projected in a reduced two-dimensional viewable space. The specificity of our approach is that each reduced space has been delimited by a representative contour encompassing a very large proportion of molecules and reflecting its overall shape. The methodology is illustrated by mapping and comparing various chemical libraries. Several tools used in these studies are made freely available, thus enabling any user to compute DRCS matching specific requirements.
机译:高通量筛选(HTS)是一项成熟的技术,可以在几周内测试多达数百万种化合物。尽管具有这些吸引人的功能,但可用资源和高昂的成本可能会限制筛选分子的数量,这使多样性分析成为设计筛选库并确定其优先级的首选方法。随着可用于筛选的分子数量不断增加,化学空间已成为可视化,分析和比较化学文库的关键概念。在第一篇文章中,我们提出了一种建立定界参考化学子空间(DRCS)的新方法。收集了来自73个化学品供应商的1600万种筛选化合物,形成了663万个标准化和独特分子的数据库。这些分子已用于使用三组不同的化学描述符创建三个DRCS。已获得每个空间的稳健主成分分析模型,从而将分子投影​​在缩小的二维可视空间中。我们方法的特殊性在于,每个减小的空间都由一个代表轮廓来界定,该轮廓包含很大比例的分子并反映了其整体形状。通过绘制和比较各种化学库来说明该方法。这些研究中使用的几种工具可免费获得,从而使任何用户都可以计算出符合特定要求的DRCS。

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