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Reseach Article

A Comparative Study of the Protein Secondary Structure Prediction methods

Published on March 2014 by Shivani Agarwal, Arushi Baboota, Atul Kumar
International Conference on Advances in Computer Engineering and Applications
Foundation of Computer Science USA
ICACEA - Number 4
March 2014
Authors: Shivani Agarwal, Arushi Baboota, Atul Kumar
ab8e1b39-09c3-4cf8-bbc1-f229594318b5

Shivani Agarwal, Arushi Baboota, Atul Kumar . A Comparative Study of the Protein Secondary Structure Prediction methods. International Conference on Advances in Computer Engineering and Applications. ICACEA, 4 (March 2014), 21-24.

@article{
author = { Shivani Agarwal, Arushi Baboota, Atul Kumar },
title = { A Comparative Study of the Protein Secondary Structure Prediction methods },
journal = { International Conference on Advances in Computer Engineering and Applications },
issue_date = { March 2014 },
volume = { ICACEA },
number = { 4 },
month = { March },
year = { 2014 },
issn = 0975-8887,
pages = { 21-24 },
numpages = 4,
url = { /proceedings/icacea/number4/15636-1445/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Computer Engineering and Applications
%A Shivani Agarwal
%A Arushi Baboota
%A Atul Kumar
%T A Comparative Study of the Protein Secondary Structure Prediction methods
%J International Conference on Advances in Computer Engineering and Applications
%@ 0975-8887
%V ICACEA
%N 4
%P 21-24
%D 2014
%I International Journal of Computer Applications
Abstract

Computationally biology is the innovative research for better drug designing. A number of classifiers and techniques are used for prediction of secondary structure prediction of proteins. The basic aim of this paper shows the comparative study by using these three models: - Artificial Neural Network, Fuzzy Logic, and Hidden Markov Model and to acquire the optimum end result.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network Fuzzy Logic Hidden Markov Model Soft Computing Dssp.