药物发现
药品
铅(地质)
计算机科学
管道(软件)
铅化合物
计算机辅助
计算生物学
药物开发
生化工程
化学
药理学
生物信息学
医学
生物
工程类
生物化学
古生物学
程序设计语言
体外
作者
Mingli Xiang,Yu Cao,Wenjie Fan,Lijuan Chen,Yirong Mo
出处
期刊:Combinatorial Chemistry & High Throughput Screening
[Bentham Science]
日期:2012-05-01
卷期号:15 (4): 328-337
被引量:66
标识
DOI:10.2174/138620712799361825
摘要
Over the past decade, there have been remarkable advances in the area of computer-aided drug design (CADD), which has been applied at almost all stages in the drug discovery pipeline. The generation of initial lead compounds and the subsequent optimization aimed at improving potency and pharmacological properties are the core activities among all. The development in these aspects over the past years will be the focus of this review. Keywords: Binding affinity prediction, computer-aided drug design, de novo design, database searching, lead optimization, pharmacological properties, low efficiency, drug, therapeutic targets, combinatorial chemistry, drug targets, high throughput screening, macromolecules, X-ray diffraction, amino acid, epidermal growth-factor receptor
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