New Trend of Protein Secondary Structure Prediction

Author

Zhai, Yun ; Yang, Bingru ; Wang, Lijun ; An, Bing

Author_Institution

Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China

fYear

2009

fDate

15-16 May 2009

Firstpage

121

Lastpage

124

Abstract

At first, this paper reviews the development history of the protein secondary structure prediction. Some concerned secondary structure prediction methods are introduced. Then a novel method is proposed, which substantially improves the prediction accuracy of CB513 with 80.49% and RS126 with 82.79% respectively. In the end, this paper points out several possible trends in the protein secondary structure prediction.

Keywords

biology computing; data mining; molecular configurations; pattern classification; proteomics; support vector machines; Knowledge Discovery Theory based on Inner Cognitive Mechanism; attribute association classifier; prediction accuracy; protein alpha helix; protein beta sheet; protein coil; protein loop; protein secondary structure prediction; secondary structure prediction methods; structural association classifier; support vector machine; Accuracy; Amino acids; Bioinformatics; Computer science education; Databases; Educational technology; Intelligent structures; Prediction methods; Protein engineering; Ubiquitous computing; KDD; combination method; protein secondary structure prediction; trend;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Ubiquitous Computing and Education, 2009 International Symposium on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3619-4

Type

conf

DOI

10.1109/IUCE.2009.9

Filename

5223305