系统生物学
稳健性(进化)
系统医学
有机体
生物
计算机科学
模拟生物系统
计算生物学
数据科学
生物化学
基因
古生物学
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2002-03-01
卷期号:295 (5560): 1662-1664
被引量:4205
标识
DOI:10.1126/science.1069492
摘要
To understand biology at the system level, we must examine the structure and dynamics of cellular and organismal function, rather than the characteristics of isolated parts of a cell or organism. Properties of systems, such as robustness, emerge as central issues, and understanding these properties may have an impact on the future of medicine. However, many breakthroughs in experimental devices, advanced software, and analytical methods are required before the achievements of systems biology can live up to their much-touted potential.
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