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Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design

机译:使用有效的计算机模拟肽直接配体设计鉴定选择性的蛋白质-蛋白质相互作用抑制剂

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摘要

The development of protein–protein interaction (PPI) inhibitors with therapeutic value is of increasing importance as the first clinical agent has now been approved, but PPIs remain difficult targets for the development of small molecule ligands. This article describes a highly efficient approach to the development of inhibitors of the p53/hDMX or hDM2 interaction that involves the design of small molecules in silico based upon a peptide/protein structure. The process for molecule design, starting from a virtual library of just over 1200 fragments, led to the eventual synthesis of twenty compounds, of which ten bound to either hDM2, hDMX or both in in vitro binding assays. This 50% success rate is extremely efficient compared to traditional high throughput screening. The identification of two selective hDMX inhibitors from twenty compounds highlights this efficiency as, to date, only two other hDMX-selective agents exist in the literature. Preliminary biological studies show that 20% of the compounds identified have cellular activity and activate downstream pathways associated with p53 activation.
机译:随着目前已被批准的第一种临床药物,具有治疗价值的蛋白-蛋白相互作用(PPI)抑制剂的开发越来越重要,但是PPI仍然是开发小分子配体的困难目标。本文介绍了一种开发p53 / hDMX或hDM2相互作用抑制剂的高效方法,该方法涉及基于肽/蛋白质结构的计算机小分子设计。从刚好有超过1200个片段的虚拟文库开始的分子设计过程,最终合成了20种化合物,其中10种在体外结合测定中与hDM2,hDMX或两者结合。与传统的高通量筛选相比,成功率高达50%。从二十种化合物中鉴定出两种选择性hDMX抑制剂突显了这种效率,因为迄今为止,文献中仅存在另外两种hDMX选择性剂。初步的生物学研究表明,鉴定出的化合物中有20%具有细胞活性并激活与p53激活相关的下游途径。

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