Integration of Diverse Data Sources for Prediction of Adverse Drug Events

被引：6
|
作者：
Abernethy, D. R. [1 ]
Bai, J. P. F. [1 ]
Burkhart, K. [1 ]
Xie, H-G [1 ]
Zhichkin, P. [1 ]
机构：
[1] US FDA, Off Clin Pharmacol, Off Translat Sci, Ctr Drug Evaluat & Res, Silver Spring, MD USA
来源：
CLINICAL PHARMACOLOGY & THERAPEUTICS | 2011年 / 90卷 / 05期
关键词：
PHARMACOLOGY;
D O I：
10.1038/clpt.2011.171
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
The rapid evolution of large biological, pharmacological, and chemical databases has led to optimism that such data resources can be leveraged for prediction of drug action based on molecular descriptors of the drug. Challenges to realize this possibility include organization of each type of database in a manner that allows extraction of information across disparate data sources and the linkage of information across the biological, pharmacological, and chemical domains.
引用
收藏
页码：645 / 646
页数：2
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