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Revealing the Macromolecular Targets of Fragment-Like Natural Products

机译:揭示类似于片段的天然产物的大分子靶标

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摘要

Fragment-like natural products were identified as ligand-efficient chemical matter for hit-to-lead development and chemical-probe discovery. Relying on a computational method using a topological pharmacophore descriptor and a drug database, several macromolecular targets from distinct protein families were expeditiously retrieved for structurally unrelated chemotypes. The selected fragments feature structural dissimilarity to the reference compounds and suitable target affinity, and they offer opportunities for chemical optimization. Experimental confirmation of hitherto unknown macromolecular targets for the selected molecules corroborate the usefulness of the computational approach and suggests broad applicability to chemical biology and molecular medicine.
机译:碎片状的天然产物被认为是配体有效的化学物质,可用于铅到铅的开发和化学探针的发现。依靠使用拓扑药效基团描述符和药物数据库的计算方法,可快速检索来自不同蛋白质家族的几个大分子靶标,以寻找结构上不相关的化学型。选择的片段具有与参考化合物的结构差异和合适的目标亲和力,并为化学优化提供了机会。对所选分子的迄今未知的大分子靶标的实验确认证实了该计算方法的有用性,并暗示了其在化学生物学和分子医学中的广泛适用性。

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