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Highly Stereoselective Synthesis of a Compound Collection Based on the Bicyclic Scaffolds of Natural Products

机译:基于天然产物的双环支架的化合物集合的高度立体选择性合成

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摘要

Despite the great contribution of natural products in the history of successful drug discovery, there are significant limitations that persuade the pharmaceutical industry to evade natural products in drug discovery research. The extreme scarcity as well as structural complexity of natural products renders their practical synthetic access and further modifications extremely challenging. Although other alternative technologies, particularly combinatorial chemistry, were embraced by the pharmaceutical industry to get quick access to a large number of small molecules with simple frameworks that often lack three-dimensional complexity, hardly any success was achieved in the discovery of lead molecules. To acquire chemotypes beholding structural features of natural products, for instance high sp3 character, the synthesis of compound collections based on core-scaffolds of natural products presents a promising strategy. Here, we report a natural product inspired synthesis of six different chemotypes and their derivatives for drug discovery research. These bicyclic hetero- and carbocyclic scaffolds are highly novel, rich in sp3 features and with ideal physicochemical properties to display drug likeness. The functional groups on the scaffolds were exploited further to generate corresponding compound collections. Synthesis of two of these collections exemplified with ca. 350 compounds are each also presented. The whole compound library is being exposed to various biological screenings within the European Lead Factory consortium.
机译:尽管天然产物在成功的药物发现历史上做出了巨大贡献,但是仍然存在着明显的局限性,这说服了制药业在药物发现研究中回避了天然产物。天然产物的极度稀缺和结构复杂性使得它们的实际合成途径和进一步的修饰极具挑战性。尽管制药行业采用了其他替代技术,尤其是组合化学,以快速访问具有通常缺乏三维复杂性的简单框架的大量小分子,但是在发现先导分子方面几乎没有取得任何成功。为了获得具有天然产物结构特征的化学型,例如高sp 3 特性,基于天然产物核心骨架的化合物集合的合成提出了一种有前途的策略。在这里,我们报告了一种由天然产物激发的六种不同化学型及其衍生物的合成方法,用于药物发现研究。这些双环杂和碳环骨架是高度新颖的,具有sp 3 功能,并具有理想的理化性质以显示药物相似性。支架上的官能团被进一步利用以产生相应的化合物集合。这些集合中两个的合成示例为ca。还列出了350种化合物。整个化合物库将在欧洲铅工厂联盟中进行各种生物筛选。

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