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计算重定位和已批准药物抑制 HIF-脯氨酰羟化酶的实验验证。

Computational repositioning and experimental validation of approved drugs for HIF-prolyl hydroxylase inhibition.

机构信息

School of Biotechnology, National Institute of Technology Calicut, Calicut 673601, Kerala, India.

出版信息

J Chem Inf Model. 2013 Jul 22;53(7):1818-24. doi: 10.1021/ci400254a. Epub 2013 Jul 2.

Abstract

HIF stability and activation are governed by a family of dioxygenases called HIF prolyl-4-hydroxylases (PHDs). It has been identified as a new target to augment the adaptive machinery that governs cytoprotection in disorders associated with ischemia/reperfusion, inflammation, and oxidative stress. In this sense, PHD inhibition has been proposed to mimic, at least in part, the protective effects of exposure to hypoxia. Exploiting drug polypharmacology to identify novel modes of actions for drug repurposing has gained significant attention in the current era of weak drug pipelines. The present work plan aims at giving new purpose to some well-established FDA-approved drugs. Here, we propose that by combining the literature survey, docking, and manual interpretation altogether, we were able to perform virtual screening on FDA-approved drugs to identify potential PHD inhibitors. Upon screening of 1537 marketed drugs, a final set of six hits were selected for experimental testing. All six drugs were divers, and immuno blotting was carried out to evaluate their ability to upregulate HIF in order to validate our hypothesis. Out of the six, three drugs showed significant upregulation of HIF possibly by inhibiting the PHD. It is believed that the appropriate use of the literature survey, docking, manual interpretation, and experimental validation strategy in the drug design process should improve the ability to identify hits and confirm their potential to serve as basis for drug repurposing.

摘要

HIF 的稳定性和激活受一类称为 HIF 脯氨酰-4-羟化酶(PHD)的双氧酶家族调控。它已被确定为一个新的靶点,以增强与缺血/再灌注、炎症和氧化应激相关的疾病中细胞保护的适应性机制。在这种意义上,PHD 抑制被提议至少部分模拟低氧暴露的保护作用。利用药物多药理学来识别药物再利用的新作用模式,在当前药物管道薄弱的时代引起了广泛关注。本工作计划旨在为一些已被广泛认可的 FDA 批准药物赋予新的用途。在这里,我们提出通过将文献调查、对接和手动解释相结合,我们能够对 FDA 批准的药物进行虚拟筛选,以识别潜在的 PHD 抑制剂。在筛选了 1537 种上市药物后,最终选择了六组药物进行实验测试。所有六种药物都是多样化的,通过免疫印迹评估它们上调 HIF 的能力,以验证我们的假设。在这六种药物中,有三种药物可能通过抑制 PHD 而上调 HIF,表明其具有显著的作用。人们相信,在药物设计过程中适当运用文献调查、对接、手动解释和实验验证策略,应该能够提高识别命中药物的能力,并确认其作为药物再利用基础的潜力。

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