MASSP3: A System for Predicting Protein Secondary Structure

MASSP3: A System for Predicting Protein Secondary Structure

<p/> <p>A system that resorts to multiple experts for dealing with the problem of predicting secondary structures is described, whose performances are comparable to those obtained by other state-of-the-art predictors. The system performs an overall processing based on two main steps: fir...

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Main Authors: Armano Giuliano, Orro Alessandro, Vargiu Eloisa
Format: Article
Language:English
Published: SpringerOpen 2006-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/ASP/2006/17195
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spelling doaj-aa5a8e2d1e8e4a989be4526890af55722020-11-25T00:18:34ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061017195MASSP3: A System for Predicting Protein Secondary StructureArmano GiulianoOrro AlessandroVargiu Eloisa<p/> <p>A system that resorts to multiple experts for dealing with the problem of predicting secondary structures is described, whose performances are comparable to those obtained by other state-of-the-art predictors. The system performs an overall processing based on two main steps: first, a "sequence-to-structure" prediction is performed, by resorting to a population of hybrid genetic-neural experts, and then a "structure-to-structure" prediction is performed, by resorting to a feedforward artificial neural networks. To investigate the performance of the proposed approach, the system has been tested on the RS126 set of proteins. Experimental results (about 76% of accuracy) point to the validity of the approach.</p> http://dx.doi.org/10.1155/ASP/2006/17195
collection DOAJ
language English
format Article
sources DOAJ
author Armano Giuliano
Orro Alessandro
Vargiu Eloisa
spellingShingle Armano Giuliano
Orro Alessandro
Vargiu Eloisa
MASSP3: A System for Predicting Protein Secondary Structure
EURASIP Journal on Advances in Signal Processing
author_facet Armano Giuliano
Orro Alessandro
Vargiu Eloisa
author_sort Armano Giuliano
title MASSP3: A System for Predicting Protein Secondary Structure
title_short MASSP3: A System for Predicting Protein Secondary Structure
title_full MASSP3: A System for Predicting Protein Secondary Structure
title_fullStr MASSP3: A System for Predicting Protein Secondary Structure
title_full_unstemmed MASSP3: A System for Predicting Protein Secondary Structure
title_sort massp3: a system for predicting protein secondary structure
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2006-01-01
description <p/> <p>A system that resorts to multiple experts for dealing with the problem of predicting secondary structures is described, whose performances are comparable to those obtained by other state-of-the-art predictors. The system performs an overall processing based on two main steps: first, a "sequence-to-structure" prediction is performed, by resorting to a population of hybrid genetic-neural experts, and then a "structure-to-structure" prediction is performed, by resorting to a feedforward artificial neural networks. To investigate the performance of the proposed approach, the system has been tested on the RS126 set of proteins. Experimental results (about 76% of accuracy) point to the validity of the approach.</p>
url http://dx.doi.org/10.1155/ASP/2006/17195
work_keys_str_mv AT armanogiuliano massp3asystemforpredictingproteinsecondarystructure
AT orroalessandro massp3asystemforpredictingproteinsecondarystructure
AT vargiueloisa massp3asystemforpredictingproteinsecondarystructure
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