Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database

Zikrija Avdagic; Elvir Purisevic; Samir Omanovic; Zlatan Coralic

Artificial Intelligence in Prediction of Secondary Protein Structure Using CB513 Database

Summit Transl Bioinform. 2009 Mar 1:2009:1-5.

Authors

Zikrija Avdagic¹, Elvir Purisevic, Samir Omanovic, Zlatan Coralic

Affiliation

¹ University of Sarajevo, Faculty of Electrical Engineering, Bosnia and Herzegovina.

PMID: 21347158
PMCID: PMC3041573

Abstract

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.