天然产物
药物发现
化学空间
计算生物学
生化工程
合成生物学
小分子
计算机科学
蓝图
生物信息学
化学
合理设计
环氧合酶
组合化学
纳米技术
生物
生物化学
工程类
材料科学
机械工程
作者
Lukas Friedrich,Gino Cingolani,Ying‐Hui Ko,Mariaclara Iaselli,Morena Miciaccia,Maria Grazia Perrone,Konstantin Neukirch,Veronika Bobinger,Daniel Merk,R. Hofstetter,Oliver Werz,Andreas Koeberle,Antonio Scilimati,Gisbert Schneider
标识
DOI:10.1002/advs.202100832
摘要
The repertoire of natural products offers tremendous opportunities for chemical biology and drug discovery. Natural product-inspired synthetic molecules represent an ecologically and economically sustainable alternative to the direct utilization of natural products. De novo design with machine intelligence bridges the gap between the worlds of bioactive natural products and synthetic molecules. On employing the compound Marinopyrrole A from marine Streptomyces as a design template, the algorithm constructs innovative small molecules that can be synthesized in three steps, following the computationally suggested synthesis route. Computational activity prediction reveals cyclooxygenase (COX) as a putative target of both Marinopyrrole A and the de novo designs. The molecular designs are experimentally confirmed as selective COX-1 inhibitors with nanomolar potency. X-ray structure analysis reveals the binding of the most selective compound to COX-1. This molecular design approach provides a blueprint for natural product-inspired hit and lead identification for drug discovery with machine intelligence.
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