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Virtual Screening on Natural Products for Discovering Active Compounds and Target Information

虚拟筛选 药物发现 计算生物学 化学空间 数据科学 计算机科学 蛋白质组 生物 生物信息学
作者
Jianhua Shen,Xiaoying Xu,Feng Cheng,Hong Liu,Xiaomin Luo,Jingkang Shen,Kaixian Chen,Weimin Zhao,Xu Shen,Hualiang Jiang
出处
期刊:Current Medicinal Chemistry [Bentham Science]
卷期号:10 (21): 2327-2342 被引量:136
标识
DOI:10.2174/0929867033456729
摘要

Natural products, containing inherently large-scale structural diversity than synthetic compounds, have been the major resources of bioactive agents and will continually play as protagonists for discovering new drugs. However, how to access this diverse chemical space efficiently and effectively is an exciting challenge for medicinal chemists and pharmacologists. While virtual screening, which has shown a great promise in drug discovery, will play an important role in digging out lead (active) compounds from natural products. This review focuses on the strategy of virtual screening based on molecular docking and, with successful examples from our laboratory, illustrates the efficiency of virtual screening in discovering active compounds from natural products. On the other hand, the sequencing of the human genome and numerous pathogen genomes has resulted in an unprecedented opportunity for discovering potential new drug targets. Chemogenomics has appeared as a new technology to initiate target discovery by using active compounds as probes to characterize proteome functions. Natural products are the ideal probes for such research. Binding affinity fingerprint is a powerful chemogenomic descriptor to characterize both small molecules and pharmacologically relevant proteins. Therefore, this review also discusses binding affinity fingerprint strategy for identifying target information from the genomic data by using natural products as the probes. Keywords: virtual screening, natural product, molecular docking, chinese natural product database, chemogenomics, binding affinity fingerprint
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