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首页> 外文期刊>Journal of Medicinal Chemistry >A Common Mechanism Underlying Promiscuous Inhibitors form Virtual and High-Throughput Screening
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A Common Mechanism Underlying Promiscuous Inhibitors form Virtual and High-Throughput Screening

机译:虚拟和高通量筛选的混杂抑制剂基本机制

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High-throughput and virtual screening are widely used to discover novel leads for drug design. On examination, many screening hits appear non-drug-like: they act noncompetitively, show little relationship between structure and activity, and have poor selectivity. Attempts to develop these peculiar molecules into viable leads are often futile, and much time can be wasted on the characterization of these "phony" hits. Despite their common occurrence, the mechanism of action of these promiscuous molecules remains unknown. To investigate this problem, 45 diverse screening hits were studied. Fifteen of these were previously reported as inhibitors of various receptors, including β-lactamase, malarial protease, dihydrofolate reductase, HIV Tar RNA, thymidylate synthase, kinesin, insulin receptor, tyrosine kinases, farnesyltransferase, gyrase, prions, triosephosphate isomerase, nitric oxide synthase, phosphoinositide 3-kinase, and integrase; 30 were from an in-house screening library of a major pharmaceutical company. In addition to their original targets, 35 of these 45 compounds were shown to inhibit several unrelated model enzymes. These 35 screening hits included compounds, such as fullerenes, dyes, and quercetin, that have repeatedly shown activity against diverse targets. When tested against the model enzymes, the compounds showed time-dependent but reversible inhibition that was dramatically attenuated by albumin, guanidinium, or urea. Surprisingly, increasing the concentration of the model enzymes 10-fold largely eliminated inhibition, despite a 1000-fold excess of inhibitor; a well-behaved competitive inhibitor did not show this behavior. One model to explain these observations was that the active form of the promiscuous inhibitors was an aggregate of many individual molecules. To test this hypothesis, light scattering and electron microscopy experiments were performed. The nonspecific inhibitors were observed to form particles of 30-400 nm diameter by both techniques. In control experiments, a wellbehaved competitive inhibitor and an inactive dye-like molecule were not observed to form aggregates. Consistent with the hypothesis that the aggregates are the inhibitory species, the particle size and IC_(50) values of the promiscuous inhibitors varied monotonically with ionic strength; a competitive inhibitor was unaffected by changes in ionic strength. Unexpectedly, aggregate formation appears to explain the activity of many nonspecific inhibitors and may account for the activity of many promiscuous screening hits. Molecules acting via this mechanism may be widespread in drug discovery screening databases. Recognition of these compounds may improve screening results in many areas of pharmaceutical interest.
机译:高通量和虚拟筛选被广泛用于发现药物设计的新线索。在检查中,许多筛选结果看起来像是非药物样的:它们竞争性不强,在结构和活性之间几乎没有关系,并且选择性差。将这些奇特的分子发展成可行的线索的尝试通常是徒劳的,并且在这些“语音”片段的表征上会浪费很多时间。尽管它们经常发生,但是这些混杂分子的作用机理仍然未知。为了调查这个问题,研究了45种不同的筛选命中率。其中有15种以前被报道为各种受体的抑制剂,包括β-内酰胺酶,疟疾蛋白酶,二氢叶酸还原酶,HIV Tar RNA,胸苷酸合酶,驱动蛋白,胰岛素受体,酪氨酸激酶,法呢基转移酶,回旋酶,病毒,三糖磷酸异构酶,一氧化氮合酶。 ,磷酸肌醇3-激酶和整合酶; 30个来自大型制药公司的内部筛选库。除了最初的目标外,这45种化合物中的35种还显示出抑制几种不相关的模型酶的作用。这35个筛选结果包括化合物,例如富勒烯,染料和槲皮素,这些化合物反复显示出对多种靶标的活性。当针对模型酶进行测试时,这些化合物显示出时间依赖性但可逆的抑制作用,该抑制作用被白蛋白,胍盐或尿素显着减弱。出人意料的是,尽管抑制剂增加了1000倍,但将模型酶的浓度增加10倍却可以大大消除抑制作用。行为良好的竞争抑制剂没有表现出这种行为。解释这些发现的一种模型是,混杂抑制剂的活性形式是许多单个分子的聚集体。为了检验该假设,进行了光散射和电子显微镜实验。通过两种技术均观察到非特异性抑制剂形成直径为30-400 nm的颗粒。在对照实验中,没有观察到行为良好的竞争性抑制剂和无活性的类染料分子形成聚集体。与聚集体是抑制物质的假设相一致,混杂抑制剂的粒径和IC_(50)值随离子强度而单调变化;竞争性抑制剂不受离子强度变化的影响。出乎意料的是,聚集物的形成似乎可以解释许多非特异性抑制剂的活性,并可能解释了许多混杂筛选命中的活性。通过这种机制起作用的分子可能会在药物发现筛选数据库中广泛传播。这些化合物的识别可以改善许多药物领域的筛选结果。

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