2009 |
24 | EE | Qishi Du,
Ri-Bo Huang,
Yu-Tuo Wei,
Zong-Wen Pang,
Li-Qin Du,
Kuo-Chen Chou:
Fragment-based quantitative structure-activity relationship (FB-QSAR) for fragment-based drug design.
Journal of Computational Chemistry 30(2): 295-304 (2009) |
23 | EE | Xuan Xiao,
Pu Wang,
Kuo-Chen Chou:
GPCR-CA: A cellular automaton image approach for predicting G-protein-coupled receptor functional classes.
Journal of Computational Chemistry 30(9): 1414-1423 (2009) |
2008 |
22 | EE | Xuan Xiao,
Wei-Zhong Lin,
Kuo-Chen Chou:
Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes.
Journal of Computational Chemistry 29(12): 2018-2024 (2008) |
21 | EE | Qishi Du,
Ri-Bo Huang,
Yu-Tuo Wei,
Li-Qin Du,
Kuo-Chen Chou:
Multiple field three dimensional quantitative structure-activity relationship (MF-3D-QSAR).
Journal of Computational Chemistry 29(2): 211-219 (2008) |
2007 |
20 | EE | Qishi Du,
Ri-Bo Huang,
Yu-Tuo Wei,
Cheng-Hua Wang,
Kuo-Chen Chou:
Peptide reagent design based on physical and chemical properties of amino acid residues.
Journal of Computational Chemistry 28(12): 2043-2050 (2007) |
2006 |
19 | EE | Hong-Bin Shen,
Kuo-Chen Chou:
Ensemble classifier for protein fold pattern recognition.
Bioinformatics 22(14): 1717-1722 (2006) |
18 | EE | Tongliang Zhang,
Yongsheng Ding,
Kuo-Chen Chou:
Prediction of protein subcellular location using hydrophobic patterns of amino acid sequence.
Computational Biology and Chemistry 30(5): 367-371 (2006) |
17 | EE | Xuan Xiao,
Shihuang Shao,
Zheng-De Huang,
Kuo-Chen Chou:
Using pseudo amino acid composition to predict protein structural classes: Approached with complexity measure factor.
Journal of Computational Chemistry 27(4): 478-482 (2006) |
16 | EE | Qishi Du,
Da-Peng Li,
Wen-Zhang He,
Kuo-Chen Chou:
Heuristic molecular lipophilicity potential (HMLP): Lipophilicity and hydrophilicity of amino acid side chains.
Journal of Computational Chemistry 27(6): 685-692 (2006) |
2005 |
15 | EE | Kuo-Chen Chou:
Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes.
Bioinformatics 21(1): 10-19 (2005) |
14 | EE | Kuo-Chen Chou,
Yu-Dong Cai:
Predicting protein localization in budding Yeast.
Bioinformatics 21(7): 944-950 (2005) |
13 | EE | Suzanne W. Sirois,
George Hatzakis,
Dongqing Wei,
Qishi Du,
Kuo-Chen Chou:
Assessment of chemical libraries for their druggability.
Computational Biology and Chemistry 29(1): 55-67 (2005) |
12 | EE | Kuo-Chen Chou,
Yu-Dong Cai:
Prediction of Membrane Protein Types by Incorporating Amphipathic Effects.
Journal of Chemical Information and Modeling 45(2): 407-413 (2005) |
11 | EE | Qishi Du,
Paul G. Mezey,
Kuo-Chen Chou:
Heuristic molecular lipophilicity potential (HMLP): A 2D-QSAR study to LADH of molecular family pyrazole and derivatives.
Journal of Computational Chemistry 26(5): 461-470 (2005) |
2004 |
10 | EE | Zheng Rong Yang,
Kuo-Chen Chou:
Bio-support vector machines for computational proteomics.
Bioinformatics 20(5): 735-741 (2004) |
9 | EE | Zheng Rong Yang,
Kuo-Chen Chou:
Predicting the linkage sites in glycoproteins using bio-basis function neural network.
Bioinformatics 20(6): 903-908 (2004) |
8 | EE | Yu-Dong Cai,
Kuo-Chen Chou:
Predicting subcellular localization of proteins in a hybridization space.
Bioinformatics 20(7): 1151-1156 (2004) |
7 | EE | Suzanne W. Sirois,
Dongqing Wei,
Qishi Du,
Kuo-Chen Chou:
Virtual Screening for SARS-CoV Protease Based on KZ7088 Pharmacophore Points.
Journal of Chemical Information and Modeling 44(3): 1111-1122 (2004) |
2003 |
6 | EE | Zheng Rong Yang,
Kuo-Chen Chou:
Mining Biological Data Using Self-Organizing Map.
Journal of Chemical Information and Computer Sciences 43(6): 1748-1753 (2003) |
5 | EE | Yu-Dong Cai,
Xiao-Jun Liu,
Kuo-Chen Chou:
Prediction of protein secondary structure content by artificial neural network.
Journal of Computational Chemistry 24(6): 727-731 (2003) |
2002 |
4 | EE | Yu-Dong Cai,
Xiao-Jun Liu,
Kuo-Chen Chou:
Artificial Neural Network Model for Predicting Protein Subcellular Location.
Computers & Chemistry 26(2): 179-182 (2002) |
3 | EE | Yu-Dong Cai,
Xiao-Jun Liu,
Xue-biao Xu,
Kuo-Chen Chou:
Prediction of Protein Structural Classes by Support Vector Machines.
Computers & Chemistry 26(3): 293-296 (2002) |
2 | EE | Yu-Dong Cai,
Xiao-Jun Liu,
Xue-biao Xu,
Kuo-Chen Chou:
Artificial Neural Network Method for Predicting Protein Secondary Structure Content.
Computers & Chemistry 26(4): 347-350 (2002) |
1 | EE | Yu-Dong Cai,
Xiao-Jun Liu,
Xue-biao Xu,
Kuo-Chen Chou:
Support vector machines for predicting HIV protease cleavage sites in protein.
Journal of Computational Chemistry 23(2): 267-274 (2002) |