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Inferring protein interactions from experimental data by association probabilistic method
Chen, LN; Wu, LY; Wang, Y; Zhang, XS
2006-03-01
发表期刊PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
ISSN0887-3585
卷号62期号:4页码:833-837
摘要To elucidate protein interaction networks is one of the major goals of functional genomics for whole organisms. So far, various computational methods have been proposed for inference of protein-protein interactions. Based on the association method by Sprinzak et al., we propose an association probabilistic method in this short communication to infer protein interactions directly from the experimental data, which outperformed other existing methods in terms of both accuracy and efficiency despite its simple form. Specifically, we show that the association probabilistic method achieves the highest accuracy among the existing approaches for the measures of root-mean-square error and the Pearson correlation coefficient, and also runs much faster than the LP-based method, by experimental dataset in Yeast. Software is available from the authors upon request.
关键词protein interaction domain interaction protein network bioinformatics
DOI10.1002/prot.20783
语种英语
WOS研究方向Biochemistry & Molecular Biology ; Biophysics
WOS类目Biochemistry & Molecular Biology ; Biophysics
WOS记录号WOS:000235872700001
出版者WILEY-LISS
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/3405
专题应用数学研究所
通讯作者Chen, LN
作者单位1.Osaka Sangyo Univ, Osaka 5748530, Japan
2.CAS, Acad Math & Syst Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Chen, LN,Wu, LY,Wang, Y,et al. Inferring protein interactions from experimental data by association probabilistic method[J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS,2006,62(4):833-837.
APA Chen, LN,Wu, LY,Wang, Y,&Zhang, XS.(2006).Inferring protein interactions from experimental data by association probabilistic method.PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS,62(4),833-837.
MLA Chen, LN,et al."Inferring protein interactions from experimental data by association probabilistic method".PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS 62.4(2006):833-837.
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