Integration of virtual and high-throughput screening

被引:649
作者
Bajorath, F
机构
[1] Albany Mol Discovery, Dept Comp Aided Drug Discovery, Bothell Res Ctr, AMRI BRC, Bothell, WA 98011 USA
[2] Univ Washington, Dept Biol Struct, Seattle, WA 98195 USA
关键词
D O I
10.1038/nrd941
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
High-throughput and virtual screening are important components of modern drug discovery research. Typically, these screening technologies are considered distinct approaches, as one is experimental and the other is theoretical in nature. However, given their similar tasks and goals, these approaches are much more complementary to each other than often thought. Various statistical, informatics and filtering methods have recently been introduced to foster the integration of experimental and in silico screening and maximize their output in drug discovery. Although many of these ideas and efforts have not yet proceeded much beyond the conceptual level, there are several success stories and good indications that early-stage drug discovery will benefit greatly from a more unified and knowledge-based approach to biological screening, despite the many technical advances towards even higher throughput that are made in the screening arena.
引用
收藏
页码:882 / 894
页数:13
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