DocumentCode :
3103051
Title :
Analysing the Similarity of Proteins Based on a New Approach to Empirical Mode Decomposition
Author :
Zhu, Shao-Ming ; Yu, Zu-Guo ; Anh, Vo ; Yang, Sheng-Yuan
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
biology computing; molecular biophysics; numerical analysis; proteins; EMD method; amino acid sequence; empirical mode decomposition; intrinsic mode functions; layered comparison method; protein sequences; protein similarity analysis; Amino acids; Artificial neural networks; Australia; Databases; Hidden Markov models; Information analysis; Protein engineering; Protein sequence; Signal analysis; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
ISSN :
2151-7614
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5515603
Filename :
5515603
Link To Document :
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