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Protein complex prediction via improved verification methods using constrained domain-domain matching.

作者信息

Zhao Yang, Hayashida Morihiro, Nacher Jose C, Nagamochi Hiroshi, Akutsu Tatsuya

机构信息

Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, Japan.

出版信息

Int J Bioinform Res Appl. 2012;8(3-4):210-27. doi: 10.1504/IJBRA.2012.048970.

DOI:10.1504/IJBRA.2012.048970
PMID:22961452
Abstract

Identification of protein complexes within protein-protein interaction networks is one of the important objectives in functional genomics. Ozawa et al. proposed a verification method of protein complexes by introducing a structural constraint. In this paper, we propose an improved integer programming-based method based on the idea that a candidate complex should not be divided into many small complexes, and combination methods with maximal components and extreme sets. The results of computational experiments suggest that our methods outperform the method by Ozawa et al. We prove that the verification problems are NP-hard, which justifies the use of integer programming.

摘要

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