LC-MS/Proteomics: a platform for the identification and selection of drug targets

被引:0
|
作者
Lazar, Iulia M. [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Dept Biol Sci, Blacksburg, VA 24061 USA
关键词
LC-MS; proteomics; drug targets; CANCER;
D O I
暂无
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
Conventional, hypothesis-driven biological research is conducted by studying the effect of a perturbation on a targeted cellular process. By using focused experimental analysis strategies, only a subset of the effects of such a perturbation can be explored, the large-scale implications having to be ignored. Proteomic technologies bring unsurpassed capabilities for generating a holistic view of the complex processes that control the growth and proliferation of a cell, and represent, therefore, a powerful approach for elucidating the molecular mechanisms of disease progression and response to therapeutic drugs. In this work, the potential of proteomic technologies, as completed on liquid chromatography (LC)-mass spectrometry detection (MS) platforms, for the discovery of networked drug-target clusters, as well as the implications for future drug discovery efforts, are discussed.
引用
收藏
页码:18 / +
页数:4
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