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Pharmacophore modelling as a virtual screening tool for the discovery of small molecule protein-protein interaction inhibitors

机译:药理学模型作为发现小分子蛋白质-蛋白质相互作用抑制剂的虚拟筛选工具

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摘要

Pharmacophore searches have become a popular tool for virtual screening of libraries to identify novel active substances that can be potentially developed into drugs. While they have been applied for years on common drug targets, their application in the discovery of protein-protein interaction inhibitors remains limited. This review describes current pharmacophore modelling methods applied in the discovery of novel inhibitors targeting protein-protein interactions. We first address the mimicry of protein-protein interactions with their respective inhibitors as observed in crystal structure complexes. This mimicry can be exploited to derive a pharmacophore query from protein-protein complex structures. We then discuss several cases where pharmacophore queries were utilized for the discovery of first-in-class inhibitors of their respective protein-protein interaction targets. These examples have demonstrated the usefulness of pharmacophore modelling in the quest for protein-protein interaction inhibitors.
机译:药理学搜索已成为一种虚拟筛选库的流行工具,以识别可以潜在发展为药物的新型活性物质。尽管它们已经在常见药物靶标上应用了多年,但它们在发现蛋白-蛋白相互作用抑制剂中的应用仍然受到限制。这篇综述描述了当前的药效基团建模方法,该方法应用于发现靶向蛋白质-蛋白质相互作用的新型抑制剂。我们首先讨论了在晶体结构复合物中观察到的蛋白质-蛋白质与它们各自的抑制剂的相互作用的拟态。这种模仿可以被利用来从蛋白质-蛋白质复合物结构推导药效团查询。然后,我们讨论了几种利用药效基团查询来发现其各自蛋白质-蛋白质相互作用目标的一流抑制剂的情况。这些例子证明了药效基团建模在寻找蛋白质-蛋白质相互作用抑制剂中的有用性。

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