Using nonlinear energy operator indez as pseudo amino acid compositions for predicting protein subcellular location
The functions of proteins are closely correlated with their subcellular localizations. Based on the concept of pseudo amino acid composition, the nonlinear energy operator (NEO) approach is introduced to incorporate the sequence order effect on protein subcellular localization. Results obtained through selfconsistency, jackknife and independent dataset tests indicate that the prediction accuracies by the current algorithm are significantly higher than those by using conventional 20D amino acid components. It is anticipated that some signal processing approaches, such as nonlinear energy operator, may serve as useful vehicles in biologic area.
Nonlinear Energy Operator (NEO) Pseudo Amino Acid Composition Covariant-Discriminant Algorithm Protein Subcellular Location
Xiaoli Guo Xiaoming Chen Yihong Qiu Zhende Huang Yisheng Zhu
School of Life Science and Biotechnology Shanghai Jiao Tong University Shanghai,China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）