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Proceedings Paper

Protein secondary structure prediction using neural networks
Author(s): Preeti Singh; Yan-Qing Zhang
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Paper Abstract

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.

Paper Details

Date Published: 12 April 2004
PDF: 6 pages
Proc. SPIE 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, (12 April 2004); doi: 10.1117/12.541411
Show Author Affiliations
Preeti Singh, Georgia State Univ. (United States)
Yan-Qing Zhang, Georgia State Univ. (United States)


Published in SPIE Proceedings Vol. 5433:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI
Belur V. Dasarathy, Editor(s)

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