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Molecular Biosystems|December 25, 2010
GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositionsXuan Xiao, Pu Wang, Kuo-Chen ChouCurrent Protein & Peptide Science|July 27, 2011
Cellular automata and its applications in protein bioinformaticsXuan Xiao, Pu Wang, Kuo-Chen ChouPlos One|August 23, 2011
NR-2L: a two-level predictor for identifying nuclear receptor subfamilies based on sequence-derived featuresPu Wang, Xuan Xiao, Kuo-Chen ChouJournal of Computational Chemistry|November 28, 2008
GPCR-CA: A cellular automaton image approach for predicting G-protein-coupled receptor functional classesXuan Xiao, Pu Wang, Kuo-Chen ChouMolecular Diversity|February 12, 2010
Quat-2L: a web-server for predicting protein quaternary structural attributesXuan Xiao, Pu Wang, Kuo-Chen ChouPlos One|February 25, 2012
iNR-PhysChem: a sequence-based predictor for identifying nuclear receptors and their subfamilies via physical-chemical property matrixXuan Xiao, Pu Wang, Kuo-Chen ChouJournal of Theoretical Biology|July 19, 2008
Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton imageXuan Xiao, Pu Wang, Kuo-Chen ChouCurrent Topics in Medicinal Chemistry|May 8, 2013
Recent progresses in identifying nuclear receptors and their familiesXuan Xiao, Pu Wang, Kuo-Chen ChouJournal of Theoretical Biology|August 31, 2013
iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprintsXuan Xiao, Jian-Liang Min, Pu Wang, et al.Current Topics in Medicinal Chemistry|July 30, 2013
Predict drug-protein interaction in cellular networkingXuan Xiao, Jian-Liang Min, Pu Wang, et al.Pageof 196