Journal of Proteomics & Bioinformatics
Open Access

K.P.Mishra

Publications

• Research Article
  Predicting secondary structure of Oxidoreductase protein family using Bayesian Regularization Feed-forward Backpropagation ANN Technique
  Author(s): Brijesh Singh Yadav, Mayank Pokhariyal, Barkha Ratta, Gaurava Rai, Meeta Saxena, Bhaskar Sharma and K.P.MishraBrijesh Singh Yadav, Mayank Pokhariyal, Barkha Ratta, Gaurava Rai, Meeta Saxena, Bhaskar Sharma and K.P.Mishra
  
  Arti fi cial Neural Networks (ANNs) are simpli fi ed models of the nervous system, in which neurons are considered as simple processing units linked with weighted connections called synaptic ef fi cacies. These weights are gradually adjusted according to a learning algorithm.Oxidoreductase any of a class of enzymes that catalyse oxidation–reduction reactions, i.e. they are involved in the transfer of hydrogen or electrons between molecules. They include the oxidases and dehydrogenases. In this paper, an attempt has been made to develop a neural network-based method for predicting the secondary structure of protein ( Human Oxidoreductase family). The neural network has been trained using Bayesian Regularization Feed-forward Backpropagation Neural Network Technique to predict the -helix, -sheet and coil regions of this protein family. Feed-.. View More»
  DOI: 10.4172/jpb.1000137

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