Integration of virtual and high-throughput screening

虚拟筛选 药物发现 计算机科学 信息学 数据科学 高通量筛选 筛选技术 吞吐量 风险分析(工程) 生物信息学 医学 生物 工程类 电信 电气工程 无线
作者
Jürgen Bajorath
出处
期刊:Nature Reviews Drug Discovery [Springer Nature]
卷期号:1 (11): 882-894 被引量:868
标识
DOI:10.1038/nrd941
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.
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