Inter-Residue Spatial Distance Map Prediction by Using Integrating Ga with Rbfnn

Title: Inter-Residue Spatial Distance Map Prediction by Using Integrating Ga with Rbfnn

Volume: 11 Issue: 6

Author(s): Guang-Zheng Zhang and De-Shuang Huang

Affiliation:

Keywords: spatial distance, radial basis function neural network, genetic algorithm, soybean protein, prediction

Abstract: The spatial ordering information of amino acid residue in protein primary sequence is an important determinant of protein three-dimensional structure. In this paper, we describe a radial basis function neural network (RBFNN), whose hidden centers and basis function widths are optimized by a genetic algorithm (GA), for the purpose of predicting three dimensional spatial distance location from primary sequence information. Experimental evidence on soybean protein sequences indicates the utility of this approach.

Cite this article as:

Zhang Guang-Zheng and Huang De-Shuang, Inter-Residue Spatial Distance Map Prediction by Using Integrating Ga with Rbfnn, Protein & Peptide Letters 2004; 11 (6) . https://dx.doi.org/10.2174/0929866043406283