DocumentCode :
3147461
Title :
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
Link To Document :
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