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