Analysing the similarity of proteins based on a new approach to empirical mode decomposition

Zhu, Shaoming, Yu, Zu-Guo, Anh, Vo, & Yang, Sheng-Yuan (2010) Analysing the similarity of proteins based on a new approach to empirical mode decomposition. In Chou, K (Ed.) Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on, IEEE, China, pp. 1-4.

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The function of a protein can be partially determined by the information contained in its amino acid sequence. It can be assumed that proteins with similar amino acid sequences normally have closer functions. Hence analysing the similarity of proteins has become one of the most important areas of protein study. In this work, a layered comparison method is used to analyze the similarity of proteins. It is based on the empirical mode decomposition (EMD) method, and protein sequences are characterized by the intrinsic mode functions (IMFs). The similarity of proteins is studied with a new cross-correlation formula. It seems that the EMD method can be used to detect the functional relationship of two proteins. This kind of similarity method is a complement of traditional sequence similarity approaches which focus on the alignment of amino acids

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ID Code: 80581
Item Type: Conference Paper
Refereed: Yes
Keywords: Similarity, Protein Function, Empirical Mode Decomposition
DOI: 10.1109/ICBBE.2010.5515603
ISBN: 9781424447121
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Mathematical Sciences
Copyright Owner: Copyright ©2010 IEEE
Deposited On: 21 Jan 2015 22:49
Last Modified: 06 Mar 2015 01:07

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