Literature DB >> 11288184

Is it a paradox or misinterpretation?

Y D Cai1.   

Abstract

The paradox recently raised by Wang and Yuan (Proteins 2000;38:165-175) in protein structural class prediction is actually a misinterpretation of the data reported in the literature. The Bayes decision rule, which was deemed by Wang and Yuan to be the most powerful method for predicting protein structural classes based on the amino acid composition, and applied by these investigators to derive the upper limit of prediction rate for structural classes, is actually completely the same as the component-coupled algorithm proposed by previous investigators (Chou et al., Proteins 1998;31:97-103). Owing to lack of a complete or near-complete training data set, the upper limit rate thus derived by these investigators might be both invalid and misleading. Clarification of these points will further stimulate investigation of this interesting area. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11288184     DOI: 10.1002/prot.1045

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  5 in total

1.  Support vector machines for predicting membrane protein types by using functional domain composition.

Authors:  Yu-Dong Cai; Guo-Ping Zhou; Kuo-Chen Chou
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

2.  Using fourier spectrum analysis and pseudo amino acid composition for prediction of membrane protein types.

Authors:  Hui Liu; Jie Yang; Meng Wang; Li Xue; Kuo-Chen Chou
Journal:  Protein J       Date:  2005-08       Impact factor: 2.371

3.  Protein sumoylation sites prediction based on two-stage feature selection.

Authors:  Lin Lu; Xiao-He Shi; Su-Jun Li; Zhi-Qun Xie; Yong-Li Feng; Wen-Cong Lu; Yi-Xue Li; Haipeng Li; Yu-Dong Cai
Journal:  Mol Divers       Date:  2009-05-27       Impact factor: 2.943

4.  Support vector machines for predicting protein structural class.

Authors:  Y D Cai; X J Liu; X Xu; G P Zhou
Journal:  BMC Bioinformatics       Date:  2001-06-29       Impact factor: 3.169

5.  Esub8: a novel tool to predict protein subcellular localizations in eukaryotic organisms.

Authors:  Qinghua Cui; Tianzi Jiang; Bing Liu; Songde Ma
Journal:  BMC Bioinformatics       Date:  2004-05-27       Impact factor: 3.169

  5 in total

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