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基于药效团模型的小分子蛋白-蛋白相互作用抑制剂虚拟筛选技术研究

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

机构信息

Zhang Initiative Research Unit, Advanced Science Institute, RIKEN, Hirosawa, Wako, Saitama, Japan.

出版信息

Curr Pharm Des. 2012;18(30):4586-98. doi: 10.2174/138161212802651616.

Abstract

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.

摘要

药效团搜索已成为一种流行的工具,用于对库进行虚拟筛选,以鉴定可能开发成药物的新型活性物质。虽然它们已经在常见的药物靶点上应用多年,但在发现蛋白质-蛋白质相互作用抑制剂方面的应用仍然有限。这篇综述描述了当前在发现针对蛋白质-蛋白质相互作用的新型抑制剂的药效团建模方法。我们首先讨论了用晶体结构复合物中观察到的各自抑制剂来模拟蛋白质-蛋白质相互作用。可以利用这种模拟从蛋白质-蛋白质复合物结构中推导出药效团查询。然后,我们讨论了几个利用药效团查询发现各自蛋白质-蛋白质相互作用靶标首例抑制剂的案例。这些例子证明了药效团建模在寻找蛋白质-蛋白质相互作用抑制剂方面的有用性。

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