Accurate quantitative structure-property relationship model of mobilities of peptides in capillary zone electrophoresis.

Abstract

The aim of this work was to predict electrophoretic mobilities of peptides in capillary zone electrophoresis (CZE) using the linear heuristic method (HM) and a nonlinear radial basis function neural network (RBFNN). Two data sets, consisting of 125 peptides ranging in size between 2 and 14 amino acids and 58 peptides ranging in size between 2 and 39 amino… (More)

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Cite this paper

@article{Ma2006AccurateQS, title={Accurate quantitative structure-property relationship model of mobilities of peptides in capillary zone electrophoresis.}, author={Weiping Ma and Feng Luan and Haixia Zhang and Xiaoyun Zhang and Mancang Liu and Zhide Hu and Botao Fan}, journal={The Analyst}, year={2006}, volume={131 11}, pages={1254-60} }