Identifying protein submitochondrial location by using features of sequence

Author

FengMin Li ; Huanmin Zhou

Author_Institution

Coll. of Sci., Inner Mongolia Agric. Univ., Hohhot, China

fYear

2012

fDate

16-18 Oct. 2012

Firstpage

1198

Lastpage

1201

Abstract

The function of proteins is closely related to it´s subcellular localization. With the number of sequences entering into databanks rapidly increasing, it is highly desirable to predict a protein subcellular localization from its amino acid sequence. In this paper, the amino acid composition, N-terminal region of protein sequence, the amino acid hydropathy composition and gene ontology are selected as feature parameters by using support vector machine. The predictive results show that our method is efficient to predict the protein submitochondrial localization.

Keywords

bioinformatics; cellular biophysics; feature extraction; genetics; genomics; molecular biophysics; molecular configurations; ontologies (artificial intelligence); proteins; support vector machines; N-terminal region; amino acid hydropathy composition; amino acid sequence; databanks; feature parameter selection; features-of-sequence; gene ontology; protein function; protein subcellular localization; protein submitochondrial localization; support vector machine; amino acid; gene ontology; submitochondrial localization; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on

Conference_Location

Chongqing

Print_ISBN

978-1-4673-1183-0

Type

conf

DOI

10.1109/BMEI.2012.6513183

Filename

6513183