DSpace@nitr: Item 2080/1183

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1183

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DC Field	Value	Language
contributor.author	Sahu, S S	-
contributor.author	Panda, G	-
contributor.author	Nanda, S Jagannath	-
contributor.author	Mishra, S K	-
date.accessioned	2010-02-22T06:28:19Z	-
date.available	2010-02-22T06:28:19Z	-
date.issued	2009	-
identifier.citation	International Journal of Recent Trends in Engineering, Vol 2, No. 6, November 2009	en
identifier.uri	http://www.academypublisher.com/ijrte/vol02/no06/ijrte02066365.pdf	-
identifier.uri	http://hdl.handle.net/2080/1183	-
description.abstract	protein structural class prediction has been a challenging problem in protein science for many years. In this paper we present a new optimization approach using the Differential evolution (DE) for predicting the protein structural class. It uses the maximum component coefficient principle in association with the amino acid composition feature vector to efficiently classify the protein domains. The effectiveness is evaluated by comparing the results with that obtained from other existing methods using a standard database. Especially for all α and α +β class protein, the rate of accurate prediction by the proposed methods is much higher than their counterparts.	en
format.extent	489275 bytes	-
format.mimetype	application/pdf	-
language.iso	en	-
publisher	Academy Publisher	en
subject	Protein	en
subject	Differential Evloution	en
subject	Structural Class	en
title	Protein Structural Class Prediction Using Differential Evolution	en
type	Article	en
Appears in Collections:	Journal Articles

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