Biological complexity and drug discovery: a practical systems biology approach
被引:18
作者:
Berg, EL
论文数: 0引用数: 0
h-index: 0
机构:
BioSeek Inc, Burlingame, CA 94010 USABioSeek Inc, Burlingame, CA 94010 USA
Berg, EL
[1
]
Kunkel, EJ
论文数: 0引用数: 0
h-index: 0
机构:
BioSeek Inc, Burlingame, CA 94010 USABioSeek Inc, Burlingame, CA 94010 USA
Kunkel, EJ
[1
]
Hytopoulos, E
论文数: 0引用数: 0
h-index: 0
机构:
BioSeek Inc, Burlingame, CA 94010 USABioSeek Inc, Burlingame, CA 94010 USA
Hytopoulos, E
[1
]
机构:
[1] BioSeek Inc, Burlingame, CA 94010 USA
来源:
IEE PROCEEDINGS SYSTEMS BIOLOGY
|
2005年
/
152卷
/
04期
关键词:
D O I:
10.1049/ip-syb:20050036
中图分类号:
Q2 [细胞生物学];
学科分类号:
071009 ;
090102 ;
摘要:
Drugs fail in clinical studies most often from lack of efficacy or unexpected toxicities. These failures result from an inadequate understanding of drug action and follow, in part, from our dependence on drug discovery technologies that do not take into account the complexity of human disease biology. Biological systems exhibit many features of complex engineering systems, including modularity, redundancy, robustness, and emergent properties. Addressing these features has contributed to the successful design of an improved biological assay technology for inflammation drug discovery. This approach, termed Biologically Multiplexed Activity Profiling (BioMAP), involves the statistical analysis of protein datasets generated from novel complex primary human cell-based assay systems. Compound profiling in these systems has revealed that a surprisingly large number of biological mechanisms can be detected and distinguished. Features of these assays relevant to the behaviour of complex systems are described.