首页> 外文期刊>Biointerphases >Microarray-based enzyme profiling: Recent advances and applications (Review)
【24h】

Microarray-based enzyme profiling: Recent advances and applications (Review)

机译:基于微阵列的酶谱分析:最新进展和应用(综述)

获取原文
           

摘要

Enzymes are an integral part of biological systems. They constitute a significant majority of all proteins expressed (an estimated 18%–29%) within eukaryotic genomes. It thus comes as no major surprise that enzymes have been implicated in many diseases and form the second largest group of drug targets, after receptors. Despite their involvement in a multitude of physiological processes, only a limited number of enzymes have thus far been well-characterized. Consequently, little is understood about the physiological roles, substrate specificity, and downstream targets of the vast majority of these important proteins. In order to facilitate the biological characterization of enzymes, as well as their adoption as drug targets, there is a need for global “-omics” solutions that bridge the gap in understanding these proteins and their interactions. Herein the authors showcase how microarray methods can be adopted to facilitate investigations into enzymes and their properties, in a high-throughput manner. They will focus on several major classes of enzymes, including kinases, phosphatases, and proteases. As a result of research efforts over the last decade, these groups of enzymes have become readily amenable to microarray-based profiling methods. The authors will also describe the specific design considerations that are required to develop the appropriate chemical tools and libraries to characterize each enzyme class. These include peptide substrates, activity-based probes, and chemical compound libraries, which may be rapidly assembled using efficient combinatorial synthesis or “click chemistry” strategies. Taken together, microarrays offer a powerful means to study, profile, and also discover potent small molecules with which to modulate enzyme activity.
机译:酶是生物系统的组成部分。它们构成了真核生物基因组中表达的所有蛋白质的绝大部分(估计为18%–29%)。因此,酶参与许多疾病并形成仅次于受体的第二大药物靶标也就不足为奇了。尽管它们参与多种生理过程,但迄今为止,仅有限数量的酶已被充分表征。因此,对于这些重要蛋白质的绝大多数的生理作用,底物特异性和下游靶标了解甚少。为了促进酶的生物学表征以及将其用作药物靶标,需要全球“组学”解决方案,以弥合对这些蛋白质及其相互作用的理解的差距。本文作者展示了如何以高通量方式采用微阵列方法来促进酶及其性质的研究。他们将重点研究几种主要的酶,包括激酶,磷酸酶和蛋白酶。由于过去十年的研究努力,这些酶类别已很容易适用于基于微阵列的分析方法。作者还将描述开发适当的化学工具和库以表征每种酶类别所需的具体设计注意事项。这些包括肽底物,基于活性的探针和化合物库,可以使用有效的组合合成或“点击化学”策略快速组装。总之,微阵列为研究,分析和发现有效的小分子以调节酶活性提供了有力的手段。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号