Systems-Based Discovery Advances Drug Development

被引:10
|
作者
Waldman, S. A. [1 ,2 ]
Terzic, A. [3 ,4 ,5 ,6 ,7 ,8 ]
机构
[1] Delaware Valley Inst Clin & Translat Sci, Dept Pharmacol & Expt Therapeut, Philadelphia, PA 19107 USA
[2] Thomas Jefferson Univ, Dept Med, Div Clin Pharmacol, Philadelphia, PA 19107 USA
[3] Mayo Clin, Mayo Clin Ctr Regenerat Med, Div Cardiovasc Dis, Dept Med, Rochester, MN USA
[4] Mayo Clin, Mayo Clin Ctr Regenerat Med, Div Clin Pharmacol, Dept Med, Rochester, MN USA
[5] Mayo Clin, Mayo Clin Ctr Regenerat Med, Div Cardiovasc Dis, Dept Mol Pharmacol, Rochester, MN USA
[6] Mayo Clin, Mayo Clin Ctr Regenerat Med, Div Clin Pharmacol, Dept Mol Pharmacol, Rochester, MN USA
[7] Mayo Clin, Mayo Clin Ctr Regenerat Med, Div Cardiovasc Dis, Dept Expt Therapeut & Med Genet, Rochester, MN USA
[8] Mayo Clin, Mayo Clin Ctr Regenerat Med, Div Clin Pharmacol, Dept Expt Therapeut & Med Genet, Rochester, MN USA
关键词
GENOMIC DATA;
D O I
10.1038/clpt.2013.21
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Drug development expenditures continue to escalate, in part reflecting inefficiencies in current drug discovery paradigms. Traditional drug discovery has been dichotomous, focusing either on phenotypic effects of distinct agents in biological systems, without knowledge of respective targets, or on target-based activities of specific molecules in cell-free assays. Driven by advances in biology, engineering, and informatics, new paradigms integrate phenotypic with target-based algorithms into comprehensive, systems-level approaches offering value-added strategies for optimized drug discovery.
引用
收藏
页码:285 / 287
页数:3
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