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


Autoria(s): Zhu, Shaoming; Yu, Zu-Guo; Anh, Vo; Yang, Sheng-Yuan
Contribuinte(s)

Chou, K

Data(s)

2010

Resumo

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

Identificador

http://eprints.qut.edu.au/80581/

Publicador

IEEE

Relação

DOI:10.1109/ICBBE.2010.5515603

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.

Direitos

Copyright ©2010 IEEE

Fonte

Faculty of Science and Technology; Mathematical Sciences

Palavras-Chave #Similarity, Protein Function, Empirical Mode Decomposition
Tipo

Conference Paper