应用化学基因组信息预测小分子化合物的潜在生物靶标的理论方法  

Theoretical approaches to the prediction of the biological targets of small-molecular compounds based on chemogenomic information

作　　者：李嫣[1] 王任小[1] 

机构地区：[1]中国科学院上海有机化学研究所生命有机化学国家重点实验室,上海200032

出　　处：《生命科学》2009年第3期400-407,共8页Chinese Bulletin of Life Sciences

基　　金：国家自然科学基金(20502031;20772149;90813006);"863"项目(2006AA02Z337);上海市科委项目(074319113)

摘　　要：在后基因组时代,化学基因组技术在药物作用靶点的确认、小分子化合物对通路的作用,以及小分子先导化合物的识别等方面都有着广泛的应用,为新药研发提供了新的技术方法。本文主要介绍了当前几种基于化学基因组信息来预测小分子化合物潜在生物靶标的理论方法(包括化学相似性搜索方法、反向分子对接方法、数据挖掘方法以及生物活性谱图分析方法),并分析了这些方法的优缺点以及应用前景。In this post-genomic era, chemogenomics can be applied in target elucidation, understanamg oi me effects of small-molecular compounds on biological pathways, and discovery of novel active compounds. These new techniques collectively play an important role in modern drug discovery. This article reviews the existing theoretical approaches to the prediction of biological targets of small-molecular compounds based on chemogenomic information, including chemical similarity searching, reverse docking, data mining, and bioactivity spectrum, and depicts the strength and shortcomings of these methods as well as their perspectives in the future.

关 键 词：化学基因组 生物靶标预测 数据挖掘 生物活性谱图 

分 类 号：Q78[生物学—分子生物学]