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12 April 2004 Protein secondary structure prediction using neural networks
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The three dimensional structure of a protein affects the structural, functional and biological characteristics of the various cells and genes significantly. Therefore, prediction of the structure of a protein is the key to understanding the biological functions of proteins. In this paper, a new hybrid neural network has been proposed for predicting protein secondary structure. A new encoding scheme for representing amino acid protein sequences has also been designed which greatly reduces the convergence time of the prediction process.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Preeti Singh and Yan-Qing Zhang "Protein secondary structure prediction using neural networks", Proc. SPIE 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, (12 April 2004);

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