Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database

In this paper we describe CB513 a non-redundant dataset, suitable for development of algorithms for prediction of secondary protein structure. A program was made in Borland Delphi for transforming data from our dataset to make it suitable for learning of neural network for prediction of secondary pr...

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Detalles Bibliográficos
Autores principales: Avdagic, Zikrija, Purisevic, Elvir, Omanovic, Samir, Coralic, Zlatan
Formato: Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2009
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041573/
https://www.ncbi.nlm.nih.gov/pubmed/21347158
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author Avdagic, Zikrija
Purisevic, Elvir
Omanovic, Samir
Coralic, Zlatan
author_facet Avdagic, Zikrija
Purisevic, Elvir
Omanovic, Samir
Coralic, Zlatan
author_sort Avdagic, Zikrija
collection PubMed
description In this paper we describe CB513 a non-redundant dataset, suitable for development of algorithms for prediction of secondary protein structure. A program was made in Borland Delphi for transforming data from our dataset to make it suitable for learning of neural network for prediction of secondary protein structure implemented in MATLAB Neural-Network Toolbox. Learning (training and testing) of neural network is researched with different sizes of windows, different number of neurons in the hidden layer and different number of training epochs, while using dataset CB513.
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spelling pubmed-30415732011-02-23 Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database Avdagic, Zikrija Purisevic, Elvir Omanovic, Samir Coralic, Zlatan Summit on Translat Bioinforma Articles In this paper we describe CB513 a non-redundant dataset, suitable for development of algorithms for prediction of secondary protein structure. A program was made in Borland Delphi for transforming data from our dataset to make it suitable for learning of neural network for prediction of secondary protein structure implemented in MATLAB Neural-Network Toolbox. Learning (training and testing) of neural network is researched with different sizes of windows, different number of neurons in the hidden layer and different number of training epochs, while using dataset CB513. American Medical Informatics Association 2009-03-01 /pmc/articles/PMC3041573/ /pubmed/21347158 Text en ©2009 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Avdagic, Zikrija
Purisevic, Elvir
Omanovic, Samir
Coralic, Zlatan
Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database
title Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database
title_full Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database
title_fullStr Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database
title_full_unstemmed Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database
title_short Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database
title_sort artificial intelligence in prediction of secondary protein structure using cb513 database
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041573/
https://www.ncbi.nlm.nih.gov/pubmed/21347158
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AT omanovicsamir artificialintelligenceinpredictionofsecondaryproteinstructureusingcb513database
AT coraliczlatan artificialintelligenceinpredictionofsecondaryproteinstructureusingcb513database

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