Suppr超能文献

基于化学生物学方法的小分子靶点鉴定

Target identification of small molecules based on chemical biology approaches.

作者信息

Futamura Yushi, Muroi Makoto, Osada Hiroyuki

机构信息

Chemical Biology Core Facility, Chemical Biology Department, RIKEN Advanced Science Institute, Wako-shi, Saitama 351-0198, Japan.

出版信息

Mol Biosyst. 2013 May;9(5):897-914. doi: 10.1039/c2mb25468a.

Abstract

Recently, a phenotypic approach-screens that assess the effects of compounds on cells, tissues, or whole organisms-has been reconsidered and reintroduced as a complementary strategy of a target-based approach for drug discovery. Although the finding of novel bioactive compounds from large chemical libraries has become routine, the identification of their molecular targets is still a time-consuming and difficult process, making this step rate-limiting in drug development. In the last decade, we and other researchers have amassed a large amount of phenotypic data through progress in omics research and advances in instrumentation. Accordingly, the profiling methodologies using these datasets expertly have emerged to identify and validate specific molecular targets of drug candidates, attaining some progress in current drug discovery (e.g., eribulin). In the case of a compound that shows an unprecedented phenotype likely by inhibiting a first-in-class target, however, such phenotypic profiling is invalid. Under the circumstances, a photo-crosslinking affinity approach should be beneficial. In this review, we describe and summarize recent progress in both affinity-based (direct) and phenotypic profiling (indirect) approaches for chemical biology target identification.

摘要

最近,一种表型方法——评估化合物对细胞、组织或整个生物体影响的筛选方法——已被重新审视并作为基于靶点的药物发现方法的补充策略重新引入。尽管从大型化学文库中发现新型生物活性化合物已成为常规操作,但确定它们的分子靶点仍然是一个耗时且困难的过程,这使得这一步骤成为药物开发中的限速环节。在过去十年中,我们和其他研究人员通过组学研究的进展和仪器技术的进步积累了大量表型数据。因此,巧妙利用这些数据集的分析方法应运而生,以识别和验证候选药物的特定分子靶点,在当前的药物发现中取得了一些进展(例如,艾瑞布林)。然而,对于一种可能通过抑制首个同类靶点而表现出前所未有的表型的化合物,这种表型分析是无效的。在这种情况下,光交联亲和方法应该会有所帮助。在这篇综述中,我们描述并总结了基于亲和(直接)和表型分析(间接)方法在化学生物学靶点识别方面的最新进展。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验