Inter-Residue Spatial Distance Map Prediction by Using Integrating Ga with Rbfnn
Guang-Zheng Zhang and De-Shuang Huang
Pages 571-576 (6)
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.
spatial distance, radial basis function neural network, genetic algorithm, soybean protein, prediction
Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences Department of Automation, University of Science&Technology of China P.O. Box 1130, Hefei, Anhui 230031,C71hina.