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高通量、多重分析酶活性超家族分析检测法

A high-throughput, multiplexed assay for superfamily-wide profiling of enzyme activity.

机构信息

The Eli and Edythe L. Broad Institute, Cambridge, Massachusetts, USA.

Department of Biochemistry, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts, USA.

出版信息

Nat Chem Biol. 2014 Aug;10(8):656-63. doi: 10.1038/nchembio.1578. Epub 2014 Jul 6.

Abstract

The selectivity of an enzyme inhibitor is a key determinant of its usefulness as a tool compound or its safety as a drug. Yet selectivity is never assessed comprehensively in the early stages of the drug discovery process, and only rarely in the later stages, because technical limitations prohibit doing otherwise. Here, we report EnPlex, an efficient, high-throughput method for simultaneously assessing inhibitor potency and specificity, and pilot its application to 96 serine hydrolases. EnPlex analysis of widely used serine hydrolase inhibitors revealed numerous previously unrecognized off-target interactions, some of which may help to explain previously confounding adverse effects. In addition, EnPlex screening of a hydrolase-directed library of boronic acid- and nitrile-containing compounds provided structure-activity relationships in both potency and selectivity dimensions from which lead candidates could be more effectively prioritized. Follow-up of a series of dipeptidyl peptidase 4 inhibitors showed that EnPlex indeed predicted efficacy and safety in animal models. These results demonstrate the feasibility and value of high-throughput, superfamily-wide selectivity profiling and suggest that such profiling can be incorporated into the earliest stages of drug discovery.

摘要

酶抑制剂的选择性是其作为工具化合物的有用性或作为药物的安全性的关键决定因素。然而,在药物发现过程的早期阶段,选择性从未得到全面评估,在后期阶段也很少评估,因为技术限制使得无法进行全面评估。在这里,我们报告了 EnPlex,这是一种高效、高通量的方法,可同时评估抑制剂的效力和特异性,并对 96 种丝氨酸水解酶进行了初步应用。EnPlex 对广泛使用的丝氨酸水解酶抑制剂的分析揭示了许多以前未被识别的非靶标相互作用,其中一些可能有助于解释以前令人困惑的不良反应。此外,EnPlex 对硼酸盐和腈基化合物的水解酶定向文库进行筛选,提供了在效力和选择性方面的结构活性关系,从中可以更有效地优先选择先导候选物。一系列二肽基肽酶 4 抑制剂的后续研究表明,EnPlex 确实可以预测动物模型中的疗效和安全性。这些结果证明了高通量、超家族范围的选择性分析的可行性和价值,并表明这种分析可以纳入药物发现的早期阶段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feff/5953424/5cb826b904c3/nihms600567f1.jpg

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