Improvement of Prediction of Mutation Positions in H5N1 Hemagglutinins of Influenza A Virus Using Neural Network with Distinguishing of Arginine, Leucine and Serine

Author(s): Guang Wu, Shaomin Yan.

Journal Name: Protein & Peptide Letters

Volume 14 , Issue 5 , 2007

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Abstract:

In this study, we attempt to improve the prediction of mutation position in H5N1 hemagglutinin from influenza A virus using the neural network model with distinguishing of arginine, leucine and serine. In comparison with previous logistic regression prediction model, the 3-6-1 feedforward backpropagation neural network model reduced independents from seven to three without compromising the predictability, and the prediction is made according to the most similar parameterised hemagglutinin rather than the population means.

Keywords: amino acid, hemagglutinin, influenza, mutation, neural network, prediction, rna, virus

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Article Details

VOLUME: 14
ISSUE: 5
Year: 2007
Page: [465 - 470]
Pages: 6
DOI: 10.2174/092986607780782713
Price: $65

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