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An efficient algorithm for global alignment of protein-protein interaction networks
Global alignment of two protein-protein interaction networks is an essentially important task in bioinformatics/computational biology field of study. It is a challenging and widely studied research topic in recent years. Accurately aligned networks allow us to identify functional modules of proteins...
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Main Authors: | , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | Global alignment of two protein-protein interaction networks is an essentially important task in bioinformatics/computational biology field of study. It is a challenging and widely studied research topic in recent years. Accurately aligned networks allow us to identify functional modules of proteins and/or orthologous proteins from which unknown functions of a protein can be inferred. We here introduce a novel efficient heuristic global network alignment algorithm called FASTAn, which includes two phases: the first to construct an initial alignment and the second to improve such alignment by exerting a repeated local optimization procedure. The experimental results demonstrated that FASTAn outperformed SPINAL, the state-of-the-art global network alignment method in terms of both commonly used objective scores and the running time. |
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ISSN: | 2162-1020 2162-1039 |
DOI: | 10.1109/ATC.2015.7388345 |