NDLI: A Hybrid Genetic Algorithm Approach for Protein Secondary Structures

Content Provider	IEEE Xplore Digital Library
Author	Yen-Wei Chu Chuen-Tsai Sun
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. & Inf. Sci., National Chiao Tung Univ., Hsinchu (Yen-Wei Chu; Chuen-Tsai Sun)
Abstract	The importance of secondary protein structures is to help us to recognize many biological features, such as the structure and function of a protein, the evolutionary relation between proteins, and protein classification. Unfortunately, the secondary protein structures are hard to get from experimental analysis, and most researchers usually use predictive information instead of real structures. However, we want to look at the natures of protein secondary structures rather than putting too much focus on current approaches to protein secondary structure prediction. For the regularity of secondary protein structures, we define a schema and adopt an approach of evolutionary computation. The approach combines a clustering method and genetic algorithms to produce the schemata for the visible natures of protein secondary structures. There are two major roles of clustering algorithm, one is to generate part of the initial chromosomes in the genetic algorithms and the other is to assist schemata in predicting secondary protein structures. By performing the new approach, the accuracy of Q3 can be improved 12% more than the previous researches. Finally, we will demonstrate some schemata with interesting biological meaning
Starting Page	3320
Ending Page	3324
File Size	512109
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712982
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Proteins Clustering methods Clustering algorithms Steady-state Sun Biology computing Information science Electronic mail Information analysis knowledge discovery genetic algorithms clustering protein secondary structure data mining
Content Type	Text
Resource Type	Article

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