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Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC
oleh: Jie Zhao, Xiujuan Lei, Fang-Xiang Wu
Format: | Article |
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Diterbitkan: | Hindawi-Wiley 2017-01-01 |
Deskripsi
Protein complexes play a critical role in understanding the biological processes and the functions of cellular mechanisms. Most existing protein complex detection algorithms cannot reflect dynamics of protein complexes. In this paper, a novel algorithm named Improved Cuckoo Search Clustering (ICSC) algorithm is proposed to detect protein complexes in weighted dynamic protein-protein interaction (PPI) networks. First, we constructed weighted dynamic PPI networks and detected protein complex cores in each dynamic subnetwork. Then, ICSC algorithm was used to cluster the protein attachments to the cores. The experimental results on both DIP dataset and Krogan dataset demonstrated that ICSC algorithm is more effective in identifying protein complexes than other competing methods.