Protein Structure Prediction Using Multiple Artificial Neural Network Classifier

Abstract

Protein secondary structure prediction is the method of extracting locally defined protein structures from the sequence of amino acids. It is a challenging and elucidating part of the field of bioinformatics. Several methods are attempting to meet these challenges. But the Artificial Neural Network (ANN) technique is turning out to be the most successful. In this work, an ANN based multi level classifier is designed for predicting secondary structure of the proteins. In this method ANNs are trained to make them capable of recognizing amino acids in a sequence following which from these amino acids secondary structures are derived. Then based on the majority of the secondary structure final structure is derived. This work shows the prediction of secondary structure of proteins employing ANNs though it is restricted initially to four structures only.