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Identification of protein latent periodicities using recurrent correlation analysis

文献类型： 外文期刊

作者： Ji, Xiaofeng 1 ; Wang, Yuejun 1 ; Wang, Haiying 1 ; Sun, Mi 1 ;

作者机构： 1.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao 266071, Shandong, Peoples R China

关键词： Mainly beta class;Pearson correlation coefficient;Sequence;Tertiary structure

期刊名称：JOURNAL OF THEORETICAL BIOLOGY （ 影响因子：2.691； 五年影响因子：2.374 ）

ISSN： 0022-5193

年卷期： 2008 年 255 卷 3 期

页码：

收录情况： SCI

摘要： Many large proteins have evolved by internal duplication and fusion. For proteins with internal structural symmetry, this means that their sequences should be made up of identical repeats. However, many of these repeat signals can only be seen at the structural level yet. We suggested a method of recurrent correlation analysis to detect the sequence repeats of proteins directly from their sequences. It showed that the internal repetitions of the representative proteins in six folds of mainly beta class could be identified directly at the sequence level. (C) 2008 Elsevier Ltd. All rights reserved.

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