首页> 美国卫生研究院文献>Proceedings of the National Academy of Sciences of the United States of America >Organic Synthesis Toward Small-Molecule Probes and Drugs Special Feature: Quantifying structure and performance diversity for sets of small molecules comprising small-molecule screening collections
【2h】

Organic Synthesis Toward Small-Molecule Probes and Drugs Special Feature: Quantifying structure and performance diversity for sets of small molecules comprising small-molecule screening collections

机译:面向小分子探针和药物的有机合成特殊功能:量化包含小分子筛选集合的小分子组的结构和性能多样性

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Using a diverse collection of small molecules we recently found that compound sets from different sources (commercial; academic; natural) have different protein-binding behaviors, and these behaviors correlate with trends in stereochemical complexity for these compound sets. These results lend insight into structural features that synthetic chemists might target when synthesizing screening collections for biological discovery. We report extensive characterization of structural properties and diversity of biological performance for these compounds and expand comparative analyses to include physicochemical properties and three-dimensional shapes of predicted conformers. The results highlight additional similarities and differences between the sets, but also the dependence of such comparisons on the choice of molecular descriptors. Using a protein-binding dataset, we introduce an information-theoretic measure to assess diversity of performance with a constraint on specificity. Rather than relying on finding individual active compounds, this measure allows rational judgment of compound subsets as groups. We also apply this measure to publicly available data from ChemBank for the same compound sets across a diverse group of functional assays. We find that performance diversity of compound sets is relatively stable across a range of property values as judged by this measure, both in protein-binding studies and functional assays. Because building screening collections with improved performance depends on efficient use of synthetic organic chemistry resources, these studies illustrate an important quantitative framework to help prioritize choices made in building such collections.
机译:最近,通过使用各种小分子集合,我们发现来自不同来源(商业,学术,自然)的化合物组具有不同的蛋白质结合行为,并且这些行为与这些化合物组的立体化学复杂性趋势相关。这些结果为合成化学家在合成用于生物学发现的筛选收集物时可能针对的结构特征提供了见识。我们报告这些化合物的结构特性和生物学性能的广泛表征,并扩大比较分析,以包括理化特性和预测构象异构体的三维形状。结果突出显示了集合之间的其他相似性和差异,但也强调了此类比较对分子描述符选择的依赖性。使用蛋白质结合数据集,我们引入了一种信息理论方法来评估性能的多样性并限制特异性。无需依赖于查找单个活性化合物,该方法就可以合理地判断化合物子集的类别。我们还将这项措施应用于来自ChemBank的公开数据,这些数据适用于多种功能测定的相同化合物组。我们发现,在蛋白质结合研究和功能测定中,通过该方法判断的化合物组的性能多样性在一系列属性值中相对稳定。由于构建具有改进性能的筛选收集物取决于合成有机化学资源的有效利用,因此这些研究说明了一个重要的定量框架,可帮助优先考虑在构建此类收集物中做出的选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号