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Mining Temporal Protein Complex Based on the Dynamic PIN Weighted with Connected Affinity and Gene Co-Expression

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成果类型:
期刊论文
作者:
Shen, Xianjun;Yi, Li;Jiang, Xingpeng(蒋兴鹏);He, Tingting(何婷婷);Hu, Xiaohua;...
通讯作者:
Yang, Jincai
作者机构:
[Jiang, Xingpeng; Yang, Jincai; He, Tingting; Shen, Xianjun; Hu, Xiaohua; Yi, Li] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
[Hu, Xiaohua] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
通讯机构:
[Yang, Jincai] C
Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
语种:
英文
关键词:
Protein complexes;Protein interactions;Protein interaction networks;Gene expression;Algorithms;Molecular evolution;Protein expression;Protein metabolism
期刊:
PLOS ONE
ISSN:
1932-6203
年:
2016
卷:
11
期:
4
页码:
e0153967
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008]; International Cooperation Project of Hubei Province [2014BHE0017]; Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU14A02008]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
The identification of temporal protein complexes would make great contribution to our knowledge of the dynamic organization characteristics in protein interaction networks (PINs). Recent studies have focused on integrating gene expression data into static PIN to construct dynamic PIN which reveals the dynamic evolutionary procedure of protein interactions, but they fail in practice for recognizing the active time points of proteins with low or high expression levels. We construct a Time-Evolving PIN (TEPIN) with a novel method called Deviation Degree, which is designed to identify the active t...

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