An Independent Homology Analysis Method in Compound Pyramid Model

Author

Xin, Zhige ; Yang, Bingru

Author_Institution

Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. Beijing, Beijing, China

fYear

2010

fDate

18-20 June 2010

Firstpage

1

Lastpage

4

Abstract

Protein secondary structure prediction plays an important role in protein engineering. But its accuracy has not been improved dramatically in recent years and many methods rely on servers to get first data. So an independent homology analysis method is proposed. Besides, this method is successfully applied to the homology analysis module located at comprehensive layer in our compound pyramid model and get better results in our experiment comparing with other methods. The accuracy of the prediction is 83.06% on the RS126 data set and 80.49% on the CB513 data set.

Keywords

bioinformatics; neural nets; proteins; proteomics; artificial neural network model; bioinformatics; compound pyramid model; comprehensive layer; independent homology analysis method; protein engineering; protein secondary structure; sequence analysis; Accuracy; Artificial neural networks; Biological system modeling; Biology; Computer science; Databases; Predictive models; Protein engineering; Space technology; 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.2010.5516435

Filename

5516435