秀丽隐杆线虫
简单(哲学)
计算机科学
复杂网络
计算生物学
结构母题
生物
酿酒酵母
生物网络
理论计算机科学
遗传学
万维网
基因
哲学
生物化学
认识论
作者
Ron Milo,Shai S. Shen-Orr,Shalev Itzkovitz,Nadav Kashtan,Dmitri B. Chklovskii,Uri Alon
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2002-10-24
卷期号:298 (5594): 824-827
被引量:6928
标识
DOI:10.1126/science.298.5594.824
摘要
Complex networks are studied across many fields of science. To uncover their structural design principles, we defined "network motifs," patterns of interconnections occurring in complex networks at numbers that are significantly higher than those in randomized networks. We found such motifs in networks from biochemistry, neurobiology, ecology, and engineering. The motifs shared by ecological food webs were distinct from the motifs shared by the genetic networks of Escherichia coli and Saccharomyces cerevisiae or from those found in the World Wide Web. Similar motifs were found in networks that perform information processing, even though they describe elements as different as biomolecules within a cell and synaptic connections between neurons in Caenorhabditis elegans. Motifs may thus define universal classes of networks. This approach may uncover the basic building blocks of most networks.
科研通智能强力驱动
Strongly Powered by AbleSci AI