| 1 |
Classification of DNA Minor and Major Grooves Binding Proteins According to the NLSs by Data Analysis Methods
Amanzadeh E, Mohabatkar H, Biria D
Applied Biochemistry and Biotechnology, 174(1), 437, 2014 |
| 2 |
iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components
Qiu WR, Xiao X, Chou KC
International Journal of Molecular Sciences, 15(2), 1746, 2014 |
| 3 |
PseAAC-General: Fast Building Various Modes of General Form of Chou's Pseudo-Amino Acid Composition for Large-Scale Protein Datasets
Du PF, Gu SW, Jiao YS
International Journal of Molecular Sciences, 15(3), 3495, 2014 |
| 4 |
iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking
Fan YN, Xiao X, Min JL, Chou KC
International Journal of Molecular Sciences, 15(3), 4915, 2014 |
| 5 |
Classifying G-protein-coupled receptors to the finest subtype level
Gao QB, Ye XF, He J
Biochemical and Biophysical Research Communications, 439(2), 303, 2013 |
| 6 |
Prediction of pattern recognition receptor family using pseudo-amino acid composition
Gao QB, Zhao HY, Ye XF, He J
Biochemical and Biophysical Research Communications, 417(1), 73, 2012 |
| 7 |
Signal-3L: A 3-layer approach for predicting signal peptides
Shen HB, Chou KC
Biochemical and Biophysical Research Communications, 363(2), 297, 2007 |
| 8 |
Hum-PLoc: A novel ensemble classifier for predicting human protein subcellular localization
Chou KC, Shen HB
Biochemical and Biophysical Research Communications, 347(1), 150, 2006 |
| 9 |
Using GO-PseAA predictor to identify membrane proteins and their types
Chou KC, Cai YD
Biochemical and Biophysical Research Communications, 327(3), 845, 2005 |
| 10 |
Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types
Shen HB, Chou KC
Biochemical and Biophysical Research Communications, 334(1), 288, 2005 |
