The Small-World Model for Amino Acid Interaction Networks
被引:0
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作者:
Gaci, Omar
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机构:
Univ Havre, LITIS EA 4108, F-76058 Le Havre, FranceUniv Havre, LITIS EA 4108, F-76058 Le Havre, France
Gaci, Omar
[1
]
Balev, Stefan
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机构:
Univ Havre, LITIS EA 4108, F-76058 Le Havre, FranceUniv Havre, LITIS EA 4108, F-76058 Le Havre, France
Balev, Stefan
[1
]
机构:
[1] Univ Havre, LITIS EA 4108, F-76058 Le Havre, France
来源:
2009 INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS: WAINA, VOLS 1 AND 2
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2009年
关键词:
PROTEIN;
DYNAMICS;
D O I:
10.1109/WAINA.2009.41
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the protein's amino acids and whose edges are the interactions between them. Using a graph theory approach, we identify a number of properties of these networks. We compare them to the general small-world network model and we analyze their hierarchical structure.
机构:
Beijing Normal Univ, Dept Phys, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Dept Phys, Beijing 100875, Peoples R China
Gu, Weifeng
Liao, Xuhong
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机构:
Hangzhou Normal Univ, Hangzhou 310036, Zhejiang, Peoples R ChinaBeijing Normal Univ, Dept Phys, Beijing 100875, Peoples R China
Liao, Xuhong
Zhang, Lisheng
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h-index: 0
机构:
Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Dept Phys, Beijing 100875, Peoples R China
Zhang, Lisheng
Huang, Xuhui
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h-index: 0
机构:
Beijing Normal Univ, Dept Phys, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Dept Phys, Beijing 100875, Peoples R China
Huang, Xuhui
Hu, Gang
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Normal Univ, Dept Phys, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Dept Phys, Beijing 100875, Peoples R China
Hu, Gang
Mi, Yuanyuan
论文数: 0引用数: 0
h-index: 0
机构:
Soochow Univ, Ctr Syst Biol, Suzhou 215006, Jiangsu, Peoples R ChinaBeijing Normal Univ, Dept Phys, Beijing 100875, Peoples R China