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Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles

机译:不同来源的小分子具有与蛋白质结合谱相关的结构复杂性的独特分布

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摘要

Using a diverse collection of small molecules generated from a variety of sources, we measured protein-binding activities of each individual compound against each of 100 diverse (sequence-unre lated) proteins using small-molecule microarrays. We also analyzed structural features, including complexity, of the small molecules. We found that compounds from different sources (commercial, aca demic, natural) have different protein-binding behaviors and that these behaviors correlate with general trends in stereochemical and shape descriptors for these compound collections. Increasing the content of sp~3-hybridized and stereogenic atoms relative to compounds from commercial sources, which comprise the majority of current screening collections, improved binding selectivity and frequency. The results suggest structural features that synthetic chemists can target when synthesizing screening collections for biological discovery. Because binding proteins selectively can be a key feature of high-value probes and drugs, synthesizing com pounds having features identified in this study may result in improved performance of screening collections.
机译:使用从各种来源生成的小分子的各种集合,我们使用小分子微阵列测量了每种化合物对100种不同(序列无关)蛋白质中每一种的蛋白质结合活性。我们还分析了小分子的结构特征,包括复杂性。我们发现来自不同来源(商业,阿拉伯胶,天然)的化合物具有不同的蛋白质结合行为,并且这些行为与这些化合物集合的立体化学和形状描述符的一般趋势相关。相对于来自商业来源的化合物(其包含当前的大多数筛选收集物),增加sp〜3杂化和立体异构原子的含量,提高了结合选择性和频率。这些结果表明合成化学家在合成用于生物学发现的筛选集合时可以针对的结构特征。由于选择性地结合蛋白可能是高价值探针和药物的关键特征,因此合成具有本研究中确定特征的化合物可能会提高筛选收集物的性能。

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