Title :
Predicting the Secondary Structure of Proteins Using New Ways of Classification
Author_Institution :
Dept. of Ship Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
In this paper we imitate the ways of the information theory and propose new ways to classify features from 20 amino acids, we then use the classify features as inputs code for a neural network and apply to prediction the secondary structure of globular protein and give a new thought to research the protein structure.
Keywords :
biology computing; information theory; neural nets; pattern classification; proteins; amino acids; feature classification; globular protein secondary structure; information theory; neural network; protein secondary structure prediction; Accuracy; Amino acids; Coils; Databases; Mathematical model; Neural networks; Proteins; Predicting the secondary structure; information theory; net network;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
DOI :
10.1109/IHMSC.2012.147
