-
1
-
-
84926619444
-
Impacts of bioinformatics to medicinal chemistry
-
Chou, K.C. Impacts of bioinformatics to medicinal chemistry. Med. Chem., 2015, 11, 218-234.
-
(2015)
Med. Chem
, vol.11
, pp. 218-234
-
-
Chou, K.C.1
-
2
-
-
84908544636
-
Molecular science for drug development and biomedicine
-
Zhong, W.Z.; Zhou, S.F. Molecular science for drug development and biomedicine. Int. J. Mol. Sci., 2014, 15, 20072-20078.
-
(2014)
Int. J. Mol. Sci
, vol.15
, pp. 20072-20078
-
-
Zhong, W.Z.1
Zhou, S.F.2
-
3
-
-
0037338365
-
Proteomic analysis of post-translational modifications
-
Mann, M.; Jensen, O.N. Proteomic analysis of post-translational modifications. Nat. Biotechnol., 2003, 21, 255-261.
-
(2003)
Nat. Biotechnol
, vol.21
, pp. 255-261
-
-
Mann, M.1
Jensen, O.N.2
-
4
-
-
77149179080
-
Rise of the rival
-
Norvell, A.; McMahon, S.B. Rise of the rival. Science, 2010, 327, 964-965.
-
(2010)
Science
, vol.327
, pp. 964-965
-
-
Norvell, A.1
McMahon, S.B.2
-
5
-
-
84926466528
-
3D structural conformation and functional domains of polysialyltransferase ST8Sia IV required for polysialylation of neural cell adhesion molecules
-
Zhou, G.P.; Huang, R.B.; Troy, F.A. 3D structural conformation and functional domains of polysialyltransferase ST8Sia IV required for polysialylation of neural cell adhesion molecules. Protein Pept. Lett., 2015, 22, 137-148.
-
(2015)
Protein Pept. Lett
, vol.22
, pp. 137-148
-
-
Zhou, G.P.1
Huang, R.B.2
Troy, F.A.3
-
6
-
-
0037320405
-
Characterization by NMR and molecular modeling of the binding of polyisoprenols and polyisoprenyl recognition sequence peptides: 3D structure of the complexes reveals sites of specific interactions
-
Zhou, G.P.; Troy, F.A. Characterization by NMR and molecular modeling of the binding of polyisoprenols and polyisoprenyl recognition sequence peptides: 3D structure of the complexes reveals sites of specific interactions. Glycobiology, 2003, 13, 51-71.
-
(2003)
Glycobiology
, vol.13
, pp. 51-71
-
-
Zhou, G.P.1
Troy, F.A.2
-
7
-
-
22444432002
-
NMR study of the preferred membrane orientation of polyisoprenols (Dolichol) and the impact of their complex with polyisoprenyl recognition sequence peptides on membrane structure
-
Zhou, G.P.; Troy, F.A. NMR study of the preferred membrane orientation of polyisoprenols (dolichol) and the impact of their complex with polyisoprenyl recognition sequence peptides on membrane structure. Glycobiology, 2005, 15, 347-359.
-
(2005)
Glycobiology
, vol.15
, pp. 347-359
-
-
Zhou, G.P.1
Troy, F.A.2
-
8
-
-
26844510847
-
NMR studies on how the binding complex of polyisoprenol recognition sequence peptides and polyisoprenols can modulate membrane structure
-
Zhou, G.P.; Troy, F.A. NMR studies on how the binding complex of polyisoprenol recognition sequence peptides and polyisoprenols can modulate membrane structure. Curr. Protein Pept. Sci., 2005, 6, 399-411.
-
(2005)
Curr. Protein Pept. Sci
, vol.6
, pp. 399-411
-
-
Zhou, G.P.1
Troy, F.A.2
-
9
-
-
49749153197
-
2-D NMR analyses reveals a specific interaction between polyisoprenols (PIs) and the polyisoprenol recognition sequences (PIRS) in model membranes
-
Zhou, G.P.; Troy, F.A. 2-D NMR analyses reveals a specific interaction between polyisoprenols (PIs) and the polyisoprenol recognition sequences (PIRS) in model membranes. Glycoconjugate J., 1995, 12, 434.
-
(1995)
Glycoconjugate J
, vol.12
, pp. 434
-
-
Zhou, G.P.1
Troy, F.A.2
-
10
-
-
77952956167
-
Decoding signalling networks by mass spectrometry-based proteomics
-
Choudhary, C.; Mann, M. Decoding signalling networks by mass spectrometry-based proteomics. Nat. Rev. Mol. Cell Biol., 2010, 11, 427-439.
-
(2010)
Nat. Rev. Mol. Cell Biol
, vol.11
, pp. 427-439
-
-
Choudhary, C.1
Mann, M.2
-
11
-
-
22344445559
-
Incorporating hidden Markov models for identifying protein kinase-specific phosphorylation sites
-
Huang, H.D.; Lee, T.Y.; Tzeng, S.W.; Wu, L.C.; Horng, J.T.; Tsou, A.P.; Huang, K.T. Incorporating hidden Markov models for identifying protein kinase-specific phosphorylation sites. J. Comput. Chem., 2005, 26, 1032-1041.
-
(2005)
J. Comput. Chem
, vol.26
, pp. 1032-1041
-
-
Huang, H.D.1
Lee, T.Y.2
Tzeng, S.W.3
Wu, L.C.4
Horng, J.T.5
Tsou, A.P.6
Huang, K.T.7
-
12
-
-
16344366696
-
NetAcet: Prediction of Nterminal acetylation sites
-
Kiemer, L.; Bendtsen, J.D.; Blom, N. NetAcet: prediction of Nterminal acetylation sites. Bioinformatics, 2005, 21, 1269-1270.
-
(2005)
Bioinformatics
, vol.21
, pp. 1269-1270
-
-
Kiemer, L.1
Bendtsen, J.D.2
Blom, N.3
-
13
-
-
33747853261
-
MeMo: A web tool for prediction of protein methylation modifications
-
Chen, H.; Xue, Y.; Huang, N.; Yao, X.; Sun, Z. MeMo: a web tool for prediction of protein methylation modifications. Nucleic Acids Res., 2006, 34, W249-253.
-
(2006)
Nucleic Acids Res
, vol.34
, pp. W249-W253
-
-
Chen, H.1
Xue, Y.2
Huang, N.3
Yao, X.4
Sun, Z.5
-
14
-
-
34547555987
-
KinasePhos 2.0: A web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns
-
Wong, Y.H.; Lee, T.Y.; Liang, H.K.; Huang, C.M.; Wang, T.Y.; Yang, Y.H.; Chu, C.H.; Huang, H.D.; Ko, M.T.; Hwang, J.K. KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns. Nucleic Acids Res., 2007, 35, W588-594.
-
(2007)
Nucleic Acids Res
, vol.35
, pp. W588-W594
-
-
Wong, Y.H.1
Lee, T.Y.2
Liang, H.K.3
Huang, C.M.4
Wang, T.Y.5
Yang, Y.H.6
Chu, C.H.7
Huang, H.D.8
Ko, M.T.9
Hwang, J.K.10
-
15
-
-
57249105125
-
Prediction of kinase-specific phosphorylation sites using conditional random fields
-
Dang, T.H.; Van Leemput, K.; Verschoren, A.; Laukens, K. Prediction of kinase-specific phosphorylation sites using conditional random fields. Bioinformatics, 2008, 24, 2857-2864.
-
(2008)
Bioinformatics
, vol.24
, pp. 2857-2864
-
-
Dang, T.H.1
Van Leemput, K.2
Verschoren, A.3
Laukens, K.4
-
16
-
-
70749137265
-
Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy
-
Yang, Z.R. Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy. BMC Bioinformatics, 2009, 10, 361.
-
(2009)
BMC Bioinformatics
, vol.10
, pp. 361
-
-
Yang, Z.R.1
-
17
-
-
67650178345
-
Incorporating structural characteristics for identification of protein methylation sites
-
Shien, D.M.; Lee, T.Y.; Chang, W.C.; Hsu, J.B.; Horng, J.T.; Hsu, P.C.; Wang, T.Y.; Huang, H.D. Incorporating structural characteristics for identification of protein methylation sites. J. Comput. Chem., 2009, 30, 1532-1543.
-
(2009)
J. Comput. Chem
, vol.30
, pp. 1532-1543
-
-
Shien, D.M.1
Lee, T.Y.2
Chang, W.C.3
Hsu, J.B.4
Horng, J.T.5
Hsu, P.C.6
Wang, T.Y.7
Huang, H.D.8
-
18
-
-
68949108329
-
Improved prediction of lysine acetylation by support vector machines
-
Li, S.; Li, H.; Li, M.; Shyr, Y.; Xie, L.; Li, Y. Improved prediction of lysine acetylation by support vector machines. Protein Pept. Lett., 2009, 16, 977-983.
-
(2009)
Protein Pept. Lett
, vol.16
, pp. 977-983
-
-
Li, S.1
Li, H.2
Li, M.3
Shyr, Y.4
Xie, L.5
Li, Y.6
-
19
-
-
78650153738
-
Musite, a tool for global prediction of general and kinase-specific phosphorylation sites
-
Gao, J.; Thelen, J.J.; Dunker, A.K.; Xu, D. Musite, a tool for global prediction of general and kinase-specific phosphorylation sites. Mol. Cell Proteomics, 2010, 9, 2586-2600.
-
(2010)
Mol. Cell Proteomics
, vol.9
, pp. 2586-2600
-
-
Gao, J.1
Thelen, J.J.2
Dunker, A.K.3
Xu, D.4
-
20
-
-
77952464216
-
Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information
-
Biswas, A.K.; Noman, N.; Sikder, A.R. Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information. BMC Bioinformatics, 2010, 11, 273.
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 273
-
-
Biswas, A.K.1
Noman, N.2
Sikder, A.R.3
-
21
-
-
79952689992
-
GPS-YNO2: Computational prediction of tyrosine nitration sites in proteins
-
Liu, Z.; Cao, J.; Ma, Q.; Gao, X.; Ren, J.; Xue, Y. GPS-YNO2: computational prediction of tyrosine nitration sites in proteins. Mol. Biosyst., 2011, 7, 1197-1204.
-
(2011)
Mol. Biosyst
, vol.7
, pp. 1197-1204
-
-
Liu, Z.1
Cao, J.2
Ma, Q.3
Gao, X.4
Ren, J.5
Xue, Y.6
-
22
-
-
84904804885
-
GPS-SUMO: A tool for the prediction of sumoylation sites and SUMO-interaction motifs
-
Zhao, Q.; Xie, Y.; Zheng, Y.; Jiang, S.; Liu, W.; Mu, W.; Liu, Z.; Zhao, Y.; Xue, Y.; Ren, J. GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs. Nucleic Acids Res., 2014, 42, W325-330.
-
(2014)
Nucleic Acids Res
, vol.42
, pp. W325-W330
-
-
Zhao, Q.1
Xie, Y.2
Zheng, Y.3
Jiang, S.4
Liu, W.5
Mu, W.6
Liu, Z.7
Zhao, Y.8
Xue, Y.9
Ren, J.10
-
23
-
-
0027219970
-
A vectorized sequence-coupling model for predicting HIV protease cleavage sites in proteins
-
Chou, K.C. A vectorized sequence-coupling model for predicting HIV protease cleavage sites in proteins. J. Biol. Chem., 1993, 268, 16938-16948.
-
(1993)
J. Biol. Chem
, vol.268
, pp. 16938-16948
-
-
Chou, K.C.1
-
24
-
-
0035030201
-
Using subsite coupling to predict signal peptides
-
Chou, K.C. Using subsite coupling to predict signal peptides. Protein Eng., 2001, 14, 75-79.
-
(2001)
Protein Eng
, vol.14
, pp. 75-79
-
-
Chou, K.C.1
-
25
-
-
0029076524
-
A sequence-coupled vector-projection model for predicting the specificity of GalNAc-transferase
-
Chou, K.C. A sequence-coupled vector-projection model for predicting the specificity of GalNAc-transferase. Protein Sci., 1995, 4, 1365-1383.
-
(1995)
Protein Sci
, vol.4
, pp. 1365-1383
-
-
Chou, K.C.1
-
26
-
-
84873575437
-
ISNO-PseAAC: Predict cysteine Snitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition
-
Xu, Y.; Ding, J.; Wu, L.Y. iSNO-PseAAC: Predict cysteine Snitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition. PLoS ONE, 2013, 8, e55844.
-
(2013)
Plos ONE
, vol.8
-
-
Xu, Y.1
Ding, J.2
Wu, L.Y.3
-
27
-
-
84885156363
-
ISNO-AAPair: Incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins
-
Xu, Y.; Shao, X.J.; Wu, L.Y.; Deng, N.Y. iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins. Peer J., 2013, 1, e171.
-
(2013)
Peer J
, vol.1
-
-
Xu, Y.1
Shao, X.J.2
Wu, L.Y.3
Deng, N.Y.4
-
28
-
-
84899856397
-
IHyd-PseAAC: Predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition
-
Xu, Y.; Wen, X.; Shao, X.J.; Deng, N.Y. iHyd-PseAAC: Predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition. Int. J. Mol. Sci., 2014, 15, 7594-7610.
-
(2014)
Int. J. Mol. Sci
, vol.15
, pp. 7594-7610
-
-
Xu, Y.1
Wen, X.2
Shao, X.J.3
Deng, N.Y.4
-
29
-
-
84902162941
-
IMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach
-
2014
-
Qiu, W.R.; Xiao, X.; Lin, W.Z. iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach. Biomed. Res. Int., 2014, 2014, 947416.
-
(2014)
Biomed. Res. Int
-
-
Qiu, W.R.1
Xiao, X.2
Lin, W.Z.3
-
30
-
-
84905982402
-
INitro-Tyr: Prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition
-
Xu, Y.; Wen, X.; Wen, L.S.; Wu, L.Y.; Deng, N.Y. iNitro-Tyr: Prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition. PLoS ONE, 2014, 9, e105018.
-
(2014)
Plos ONE
, vol.9
-
-
Xu, Y.1
Wen, X.2
Wen, L.S.3
Wu, L.Y.4
Deng, N.Y.5
-
31
-
-
84930570742
-
IUbiq-Lys: Prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a grey system model
-
Qiu, W.R.; Xiao, X.; Lin, W.Z. iUbiq-Lys: Prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a grey system model. J. Biomol. Struct. Dyn. (JBSD), 2015, 33, 1731-1742.
-
(2015)
J. Biomol. Struct. Dyn. (JBSD)
, vol.33
, pp. 1731-1742
-
-
Qiu, W.R.1
Xiao, X.2
Lin, W.Z.3
-
32
-
-
0001514262
-
Statistics of local complexity in amino acid sequences and sequence databases
-
Wootton, J.C.; Federhen, S. Statistics of local complexity in amino acid sequences and sequence databases. Comput. Chem., 1993, 17, 149-163.
-
(1993)
Comput. Chem
, vol.17
, pp. 149-163
-
-
Wootton, J.C.1
Federhen, S.2
-
33
-
-
0030801002
-
Gapped BLAST and PSI-BLAST: A new generation of protein database search programs
-
Altschul, S.F.; Madden, T.L.; Schaffer, A.A.; Zhang, J.; Zhang, Z.; Miller, W.; Lipman, D.J. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res., 1997, 25, 3389-3402.
-
(1997)
Nucleic Acids Res
, vol.25
, pp. 3389-3402
-
-
Altschul, S.F.1
Madden, T.L.2
Schaffer, A.A.3
Zhang, J.4
Zhang, Z.5
Miller, W.6
Lipman, D.J.7
-
34
-
-
34548606295
-
Review: Recent progresses in protein subcellular location prediction
-
Chou, K.C.; Shen, H.B. Review: Recent progresses in protein subcellular location prediction. Anal. Biochem., 2007, 370, 1-16.
-
(2007)
Anal. Biochem
, vol.370
, pp. 1-16
-
-
Chou, K.C.1
Shen, H.B.2
-
35
-
-
0027080161
-
An optimization approach to predicting protein structural class from amino acid composition
-
Zhang, C.T.; Chou, K.C. An optimization approach to predicting protein structural class from amino acid composition. Protein Science, 1992, 1, 401-408.
-
(1992)
Protein Science
, vol.1
, pp. 401-408
-
-
Zhang, C.T.1
Chou, K.C.2
-
36
-
-
0026636320
-
A correlation coefficient method to predicting protein structural classes from amino acid compositions
-
Chou, K.C.; Zhang, C.T. A correlation coefficient method to predicting protein structural classes from amino acid compositions. Eur. J. Biochem., 1992, 207, 429-433.
-
(1992)
Eur. J. Biochem
, vol.207
, pp. 429-433
-
-
Chou, K.C.1
Zhang, C.T.2
-
37
-
-
0027325504
-
Predicting cleavability of peptide sequences by HIV protease via correlation-angle approach
-
Chou, J.J. Predicting cleavability of peptide sequences by HIV protease via correlation-angle approach. J. Protein Chem., 1993, 12, 291-302.
-
(1993)
J. Protein Chem
, vol.12
, pp. 291-302
-
-
Chou, J.J.1
-
38
-
-
0029595415
-
Neural network prediction of the HIV-1 protease cleavage sites
-
Thompson, T.B.; Zheng, C. Neural network prediction of the HIV-1 protease cleavage sites. J. Theor. Biol., 1995, 177, 369-379.
-
(1995)
J. Theor. Biol
, vol.177
, pp. 369-379
-
-
Thompson, T.B.1
Zheng, C.2
-
39
-
-
54749084166
-
An intriguing controversy over protein structural class prediction
-
Zhou, G.P. An intriguing controversy over protein structural class prediction. J. Protein Chem., 1998, 17, 729-738.
-
(1998)
J. Protein Chem
, vol.17
, pp. 729-738
-
-
Zhou, G.P.1
-
40
-
-
0035400226
-
Some insights into protein structural class prediction
-
Zhou, G.P.; Assa-Munt, N. Some insights into protein structural class prediction. Proteins: Struct., Funct., Genet., 2001, 44, 57-59.
-
(2001)
Proteins: Struct., Funct., Genet
, vol.44
, pp. 57-59
-
-
Zhou, G.P.1
Assa-Munt, N.2
-
41
-
-
0038636605
-
Support vector machines for predicting membrane protein types by using functional domain composition
-
Cai, Y.D.; Zhou, G.P. Support vector machines for predicting membrane protein types by using functional domain composition. Biophys. J., 2003, 84, 3257-3263.
-
(2003)
Biophys. J
, vol.84
, pp. 3257-3263
-
-
Cai, Y.D.1
Zhou, G.P.2
-
42
-
-
6344231856
-
SLLE for predicting membrane protein types
-
Wang, M.; Yang, J.; Xu, Z.J. SLLE for predicting membrane protein types. J. Theor. Biol., 2005, 232, 7-15.
-
(2005)
J. Theor. Biol
, vol.232
, pp. 7-15
-
-
Wang, M.1
Yang, J.2
Xu, Z.J.3
-
43
-
-
33646065351
-
Predicting protease types by hybridizing gene ontology and pseudo amino acid composition
-
Zhou, G.P.; Cai, Y.D. Predicting protease types by hybridizing gene ontology and pseudo amino acid composition. Proteins: Struct., Funct. Bioinform., 2006, 63, 681-684.
-
(2006)
Proteins: Struct., Funct. Bioinform
, vol.63
, pp. 681-684
-
-
Zhou, G.P.1
Cai, Y.D.2
-
44
-
-
22144487766
-
Using optimized evidence-theoretic Knearest neighbor classifier and pseudo amino acid composition to predict membrane protein types
-
Shen, H.B.; Chou, K.C. Using optimized evidence-theoretic Knearest neighbor classifier and pseudo amino acid composition to predict membrane protein types. Biochem. Biophy. Res. Commun. (BBRC), 2005, 334, 288-292.
-
(2005)
Biochem. Biophy. Res. Commun. (BBRC)
, vol.334
, pp. 288-292
-
-
Shen, H.B.1
Chou, K.C.2
-
45
-
-
34249318001
-
Euk-mPLoc: A fusion classifier for largescale eukaryotic protein subcellular location prediction by incorporating multiple sites
-
Chou, K.C.; Shen, H.B. Euk-mPLoc: a fusion classifier for largescale eukaryotic protein subcellular location prediction by incorporating multiple sites. J. Proteome Res., 2007, 6, 1728-1734.
-
(2007)
J. Proteome Res
, vol.6
, pp. 1728-1734
-
-
Chou, K.C.1
Shen, H.B.2
-
46
-
-
79951606205
-
GPCR-2L: Predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions
-
Xiao, X.; Wang, P. GPCR-2L: Predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions. Mol. Biosyst., 2011, 7, 911-919.
-
(2011)
Mol. Biosyst
, vol.7
, pp. 911-919
-
-
Xiao, X.1
Wang, P.2
-
47
-
-
80051676719
-
NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features
-
Wang, P.; Xiao, X. NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features. PLoS ONE, 2011, 6, e23505.
-
(2011)
Plos ONE
, vol.6
-
-
Wang, P.1
Xiao, X.2
-
48
-
-
78649326452
-
AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties
-
Kandaswamy, K.K.; Martinetz, T.; Moller, S.; Suganthan, P.N.; Sridharan, S.; Pugalenthi, G. AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties. J. Theor. Biol., 2011, 270, 56-62.
-
(2011)
J. Theor. Biol
, vol.270
, pp. 56-62
-
-
Kandaswamy, K.K.1
Martinetz, T.2
Moller, S.3
Suganthan, P.N.4
Sridharan, S.5
Pugalenthi, G.6
-
49
-
-
84877758233
-
Some Remarks on Predicting Multi-Label Attributes in Molecular Biosystems
-
Chou, K.C. Some Remarks on Predicting Multi-Label Attributes in Molecular Biosystems. Mol. Biosyst., 2013, 9, 1092-1100.
-
(2013)
Mol. Biosyst
, vol.9
, pp. 1092-1100
-
-
Chou, K.C.1
-
50
-
-
0022631926
-
The folding type of a protein is relevant to the amino acid composition
-
Nakashima, H.; Nishikawa, K.; Ooi, T. The folding type of a protein is relevant to the amino acid composition. J. Biochem., 1986, 99, 152-162.
-
(1986)
J. Biochem
, vol.99
, pp. 152-162
-
-
Nakashima, H.1
Nishikawa, K.2
Ooi, T.3
-
51
-
-
0022777472
-
Prediction of protein structural class from amino acid sequence
-
Klein, P.; Delisi, C. Prediction of protein structural class from amino acid sequence. Biopolymers, 1986, 25, 1659-1672.
-
(1986)
Biopolymers
, vol.25
, pp. 1659-1672
-
-
Klein, P.1
Delisi, C.2
-
52
-
-
0027324791
-
A joint prediction of the folding types of 1490 human proteins from their genetic codons
-
Chou, J.J.; Zhang, C.T. A joint prediction of the folding types of 1490 human proteins from their genetic codons. J. Theor. Biol., 1993, 161, 251-262.
-
(1993)
J. Theor. Biol
, vol.161
, pp. 251-262
-
-
Chou, J.J.1
Zhang, C.T.2
-
53
-
-
0031588694
-
Relation between amino acid composition and cellular location of proteins
-
Cedano, J.; Aloy, P.; P’erez-Pons, J.A.; Querol, E. Relation between amino acid composition and cellular location of proteins. J. Mol. Biol., 1997, 266, 594-600.
-
(1997)
J. Mol. Biol
, vol.266
, pp. 594-600
-
-
Cedano, J.1
Aloy, P.2
P’erez-Pons, J.A.3
Querol, E.4
-
54
-
-
0037233515
-
Subcellular location prediction of apoptosis proteins
-
Zhou, G.P.; Doctor, K. Subcellular location prediction of apoptosis proteins. Proteins: Struct. Funct. Genet., 2003, 50, 44-48.
-
(2003)
Proteins: Struct. Funct. Genet
, vol.50
, pp. 44-48
-
-
Zhou, G.P.1
Doctor, K.2
-
55
-
-
0035874091
-
Prediction of protein cellular attributes using pseudo amino acid composition
-
(Erratum: ibid., 2001, Vol.44, 60)
-
Chou, K.C. Prediction of protein cellular attributes using pseudo amino acid composition. Proteins: Struct. Funct. Genet. (Erratum: ibid., 2001, Vol.44, 60), 2001, 43, 246-255.
-
(2001)
Proteins: Struct. Funct. Genet
, vol.43
, pp. 246-255
-
-
Chou, K.C.1
-
56
-
-
12744279642
-
Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes
-
Chou, K.C. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes. Bioinformatics, 2005, 21, 10-19.
-
(2005)
Bioinformatics
, vol.21
, pp. 10-19
-
-
Chou, K.C.1
-
57
-
-
84883658706
-
Theoretical and experimental biology in one —A symposium in honour of Professor Kuo-Chen Chou’s 50th anniversary and Professor Richard Giegé’s 40th anniversary of their scientific careers
-
Lin, S.X.; Lapointe, J. Theoretical and experimental biology in one —A symposium in honour of Professor Kuo-Chen Chou’s 50th anniversary and Professor Richard Giegé’s 40th anniversary of their scientific careers. J. Biomed. Sci. Eng. (JBiSE), 2013, 6, 435-442.
-
(2013)
J. Biomed. Sci. Eng. (Jbise)
, vol.6
, pp. 435-442
-
-
Lin, S.X.1
Lapointe, J.2
-
58
-
-
84875576158
-
Propy: A tool to generate various modes of Chou’s PseAAC
-
Cao, D.S.; Xu, Q.S.; Liang, Y.Z. propy: a tool to generate various modes of Chou’s PseAAC. Bioinformatics, 2013, 29, 960-962.
-
(2013)
Bioinformatics
, vol.29
, pp. 960-962
-
-
Cao, D.S.1
Xu, Q.S.2
Liang, Y.Z.3
-
59
-
-
84895429516
-
PseAAC-General: Fast building various modes of general form of Chou’s pseudo-amino acid composition for large-scale protein datasets
-
Du, P.; Gu, S.; Jiao, Y. PseAAC-General: Fast building various modes of general form of Chou’s pseudo-amino acid composition for large-scale protein datasets. Int. J. Mol. Sci., 2014, 15, 3495-3506.
-
(2014)
Int. J. Mol. Sci
, vol.15
, pp. 3495-3506
-
-
Du, P.1
Gu, S.2
Jiao, Y.3
-
60
-
-
84886433492
-
Predicting anticancer peptides with Chou’s pseudo amino acid composition and investigating their mutagenicity via Ames test
-
Hajisharifi, Z.; Piryaiee, M.; Mohammad Beigi, M.; Behbahani, M.; Mohabatkar, H. Predicting anticancer peptides with Chou’s pseudo amino acid composition and investigating their mutagenicity via Ames test. J. Theor. Biol., 2014, 341, 34-40.
-
(2014)
J. Theor. Biol
, vol.341
, pp. 34-40
-
-
Hajisharifi, Z.1
Piryaiee, M.2
Mohammad Beigi, M.3
Behbahani, M.4
Mohabatkar, H.5
-
61
-
-
84941783146
-
Pseudo nucleotide composition or PseKNC: An effective formulation for analyzing genomic sequences
-
Chen, W.; Lin, H.; Chou, K.C. Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences. Mol. Biosyst., 2015, doi:10.1039/c5mb00155b.
-
(2015)
Mol. Biosyst
-
-
Chen, W.1
Lin, H.2
Chou, K.C.3
-
62
-
-
84876370111
-
Predicting Antibacterial Peptides by the Concept of Chou’s Pseudo-amino Acid Composition and Machine Learning Methods
-
Khosravian, M.; Faramarzi, F.K.; Beigi, M.M.; Behbahani, M.; Mohabatkar, H. Predicting Antibacterial Peptides by the Concept of Chou’s Pseudo-amino Acid Composition and Machine Learning Methods. Protein Pept. Lett., 2013, 20, 180-186.
-
(2013)
Protein Pept. Lett
, vol.20
, pp. 180-186
-
-
Khosravian, M.1
Faramarzi, F.K.2
Beigi, M.M.3
Behbahani, M.4
Mohabatkar, H.5
-
63
-
-
77955668989
-
SecretP: Identifying bacterial secreted proteins by fusing new features into Chou’s pseudo-amino acid composition
-
Yu, L.; Guo, Y.; Li, Y.; Li, G.; Li, M.; Luo, J.; Xiong, W.; Qin, W. SecretP: Identifying bacterial secreted proteins by fusing new features into Chou’s pseudo-amino acid composition. J. Theor. Biol., 2010, 267, 1-6.
-
(2010)
J. Theor. Biol
, vol.267
, pp. 1-6
-
-
Yu, L.1
Guo, Y.2
Li, Y.3
Li, G.4
Li, M.5
Luo, J.6
Xiong, W.7
Qin, W.8
-
64
-
-
77649337793
-
Using the concept of Chou’s pseudo amino acid composition for risk type prediction of human papillomaviruses
-
Esmaeili, M.; Mohabatkar, H.; Mohsenzadeh, S. Using the concept of Chou’s pseudo amino acid composition for risk type prediction of human papillomaviruses. J. Theor. Biol., 2010, 263, 203-209.
-
(2010)
J. Theor. Biol
, vol.263
, pp. 203-209
-
-
Esmaeili, M.1
Mohabatkar, H.2
Mohsenzadeh, S.3
-
65
-
-
84899962803
-
Chou’s pseudo amino acid composition improves sequence-based antifreeze protein prediction
-
Mondal, S.; Pai, P.P. Chou’s pseudo amino acid composition improves sequence-based antifreeze protein prediction. J. Theor. Biol., 2014, 356, 30-35.
-
(2014)
J. Theor. Biol
, vol.356
, pp. 30-35
-
-
Mondal, S.1
Pai, P.P.2
-
66
-
-
84856475734
-
Identifying bacterial virulent proteins by fusing a set of classifiers based on variants of Chou’s pseudo amino acid composition and on evolutionary information
-
Nanni, L.; Lumini, A.; Gupta, D.; Garg, A. Identifying bacterial virulent proteins by fusing a set of classifiers based on variants of Chou’s pseudo amino acid composition and on evolutionary information. IEEE/ACM Trans Comput Biol Bioinform., 2012, 9, 467-475.
-
(2012)
IEEE/ACM Trans Comput Biol Bioinform
, vol.9
, pp. 467-475
-
-
Nanni, L.1
Lumini, A.2
Gupta, D.3
Garg, A.4
-
67
-
-
84873572573
-
Prediction of Allergenic Proteins by Means of the Concept of Chou’s Pseudo Amino Acid Composition and a Machine Learning Approach
-
Mohabatkar, H.; Beigi, M.M.; Abdolahi, K.; Mohsenzadeh, S. Prediction of Allergenic Proteins by Means of the Concept of Chou’s Pseudo Amino Acid Composition and a Machine Learning Approach. Med. Chem., 2013, 9, 133-137.
-
(2013)
Med. Chem
, vol.9
, pp. 133-137
-
-
Mohabatkar, H.1
Beigi, M.M.2
Abdolahi, K.3
Mohsenzadeh, S.4
-
68
-
-
84907506173
-
PECM: Prediction of extracellular matrix proteins using the concept of Chou’s pseudo amino acid composition
-
Zhang, J.; Sun, P.; Zhao, X.; Ma, Z. PECM: Prediction of extracellular matrix proteins using the concept of Chou’s pseudo amino acid composition. J. Theor. Biol., 2014, 363, 412-418.
-
(2014)
J. Theor. Biol
, vol.363
, pp. 412-418
-
-
Zhang, J.1
Sun, P.2
Zhao, X.3
Ma, Z.4
-
69
-
-
48649105466
-
Using Chou’s pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifier
-
Ding, Y.S.; Zhang, T.L. Using Chou’s pseudo amino acid composition to predict subcellular localization of apoptosis proteins: an approach with immune genetic algorithm-based ensemble classifier. Pattern Recognition Lett., 2008, 29, 1887-1892.
-
(2008)
Pattern Recognition Lett
, vol.29
, pp. 1887-1892
-
-
Ding, Y.S.1
Zhang, T.L.2
-
70
-
-
47249153247
-
Predicting protein subcellular location using Chou’s pseudo amino acid composition and improved hybrid approach
-
Li, F.M.; Li, Q.Z. Predicting protein subcellular location using Chou’s pseudo amino acid composition and improved hybrid approach. Protein Pept. Lett., 2008, 15, 612-616.
-
(2008)
Protein Pept. Lett
, vol.15
, pp. 612-616
-
-
Li, F.M.1
Li, Q.Z.2
-
71
-
-
43149097851
-
Genetic programming for creating Chou’s pseudo amino acid based features for submitochondria localization
-
Nanni, L.; Lumini, A. Genetic programming for creating Chou’s pseudo amino acid based features for submitochondria localization. Amino Acids, 2008, 34, 653-660.
-
(2008)
Amino Acids
, vol.34
, pp. 653-660
-
-
Nanni, L.1
Lumini, A.2
-
72
-
-
49449087313
-
Predicting subcellular localization of mycobacterial proteins by using Chou’s pseudo amino acid composition
-
Lin, H.; Ding, H.; Feng-Biao Guo, F.B.; Zhang, A.Y.; Huang, J. Predicting subcellular localization of mycobacterial proteins by using Chou’s pseudo amino acid composition. Protein Pept. Lett., 2008, 15, 739-744.
-
(2008)
Protein Pept. Lett
, vol.15
, pp. 739-744
-
-
Lin, H.1
Ding, H.2
Feng-Biao Guo, F.B.3
Zhang, A.Y.4
Huang, J.5
-
73
-
-
43149104120
-
Using the concept of Chou’s pseudo amino acid composition to predict protein subcellular localization: An approach by incorporating evolutionary information and von Neumann entropies
-
Zhang, S.W.; Zhang, Y.L.; Yang, H.F.; Zhao, C.H.; Pan, Q. Using the concept of Chou’s pseudo amino acid composition to predict protein subcellular localization: an approach by incorporating evolutionary information and von Neumann entropies. Amino Acids, 2008, 34, 565-572.
-
(2008)
Amino Acids
, vol.34
, pp. 565-572
-
-
Zhang, S.W.1
Zhang, Y.L.2
Yang, H.F.3
Zhao, C.H.4
Pan, Q.5
-
74
-
-
43549087105
-
Using the concept of Chou’s pseudo amino acid composition to predict apoptosis proteins subcellular location: An approach by approximate entropy
-
Jiang, X.; Wei, R.; Zhang, T.L.; Gu, Q. Using the concept of Chou’s pseudo amino acid composition to predict apoptosis proteins subcellular location: an approach by approximate entropy. Protein Pept. Lett., 2008, 15, 392-396.
-
(2008)
Protein Pept. Lett
, vol.15
, pp. 392-396
-
-
Jiang, X.1
Wei, R.2
Zhang, T.L.3
Gu, Q.4
-
75
-
-
70350437815
-
Prediction of Subcellular Localization of Apoptosis Protein Using Chou’s Pseudo Amino Acid Composition
-
Lin, H.; Wang, H.; Ding, H.; Chen, Y.L.; Li, Q.Z. Prediction of Subcellular Localization of Apoptosis Protein Using Chou’s Pseudo Amino Acid Composition. Acta Biotheoretica, 2009, 57, 321-330.
-
(2009)
Acta Biotheoretica
, vol.57
, pp. 321-330
-
-
Lin, H.1
Wang, H.2
Ding, H.3
Chen, Y.L.4
Li, Q.Z.5
-
76
-
-
80054884571
-
Using a novel AdaBoost algorithm and Chou’s pseudo amino acid composition for predicting protein subcellular localization
-
Lin, J.; Wang, Y. Using a novel AdaBoost algorithm and Chou’s pseudo amino acid composition for predicting protein subcellular localization. Protein Pept. Lett., 2011, 18, 1219-1225.
-
(2011)
Protein Pept. Lett
, vol.18
, pp. 1219-1225
-
-
Lin, J.1
Wang, Y.2
-
77
-
-
80155143429
-
Multi-kernel transfer learning based on Chou’s PseAAC formulation for protein submitochondria localization
-
Mei, S. Multi-kernel transfer learning based on Chou’s PseAAC formulation for protein submitochondria localization. J. Theor. Biol., 2012, 293, 121-130.
-
(2012)
J. Theor. Biol
, vol.293
, pp. 121-130
-
-
Mei, S.1
-
78
-
-
84863695726
-
Predicting plant protein subcellular multi-localization by Chou’s PseAAC formulation based multi-label homolog knowledge transfer learning
-
Mei, S. Predicting plant protein subcellular multi-localization by Chou’s PseAAC formulation based multi-label homolog knowledge transfer learning. J. Theor. Biol., 2012, 310, 80-87.
-
(2012)
J. Theor. Biol
, vol.310
, pp. 80-87
-
-
Mei, S.1
-
79
-
-
84868026677
-
Predicting Viral Protein Subcellular Localization with Chou’s Pseudo Amino Acid Composition and Imbalance-Weighted Multi-Label K-Nearest Neighbor Algorithm
-
Cao, J.Z.; Liu, W.Q.; Gu, H. Predicting Viral Protein Subcellular Localization with Chou’s Pseudo Amino Acid Composition and Imbalance-Weighted Multi-Label K-Nearest Neighbor Algorithm. Protein Pept. Lett., 2012, 19, 1163-1169.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 1163-1169
-
-
Cao, J.Z.1
Liu, W.Q.2
Gu, H.3
-
80
-
-
84863388188
-
Prediction of Protein Subcellular Multi-Localization Based on the General form of Chou’s Pseudo Amino Acid Composition
-
Li, L.Q.; Zhang, Y.; Zou, L.Y.; Zhou, Y.; Zheng, X.Q. Prediction of Protein Subcellular Multi-Localization Based on the General form of Chou’s Pseudo Amino Acid Composition. Protein Pept. Lett., 2012, 19, 375-387.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 375-387
-
-
Li, L.Q.1
Zhang, Y.2
Zou, L.Y.3
Zhou, Y.4
Zheng, X.Q.5
-
81
-
-
84859635404
-
Predict mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou’s pseudo amino acid composition
-
Fan, G.L.; Li, Q.Z. Predict mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou’s pseudo amino acid composition. J. Theor. Biol., 2012, 304, 88-95.
-
(2012)
J. Theor. Biol
, vol.304
, pp. 88-95
-
-
Fan, G.L.1
Li, Q.Z.2
-
82
-
-
84873955239
-
GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou’s pseudo-amino acid composition
-
Wan, S.; Mak, M.W.; Kung, S.Y. GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou’s pseudo-amino acid composition. J. Theor. Biol., 2013, 323, 40-48.
-
(2013)
J. Theor. Biol
, vol.323
, pp. 40-48
-
-
Wan, S.1
Mak, M.W.2
Kung, S.Y.3
-
83
-
-
84874109868
-
EuLoc: A web-server for accurately predict protein subcellular localization in eukaryotes by incorporating various features of sequence segments into the general form of Chou’s PseAAC
-
Chang, T.H.; Wu, L.C.; Lee, T.Y.; Chen, S.P.; Huang, H.D.; Horng, J.T. EuLoc: a web-server for accurately predict protein subcellular localization in eukaryotes by incorporating various features of sequence segments into the general form of Chou’s PseAAC. J. Comput. Aided Mol. Des., 2013, 27, 91-103.
-
(2013)
J. Comput. Aided Mol. Des
, vol.27
, pp. 91-103
-
-
Chang, T.H.1
Wu, L.C.2
Lee, T.Y.3
Chen, S.P.4
Huang, H.D.5
Horng, J.T.6
-
84
-
-
84877965051
-
Virus-ECC-mPLoc: A multi-label predictor for predicting the subcellular localization of virus proteins with both single and multiple sites based on a general form of Chou’s pseudo amino acid composition
-
Wang, X.; Li, G.Z.; Lu, W.C. Virus-ECC-mPLoc: a multi-label predictor for predicting the subcellular localization of virus proteins with both single and multiple sites based on a general form of Chou’s pseudo amino acid composition. Protein Pept. Lett., 2013, 20, 309-317.
-
(2013)
Protein Pept. Lett
, vol.20
, pp. 309-317
-
-
Wang, X.1
Li, G.Z.2
Lu, W.C.3
-
85
-
-
84878622856
-
Using radial basis function on the general form of Chou’s pseudo amino acid composition and PSSM to predict subcellular locations of proteins with both single and multiple sites
-
Huang, C.; Yuan, J. Using radial basis function on the general form of Chou’s pseudo amino acid composition and PSSM to predict subcellular locations of proteins with both single and multiple sites. Biosystems, 2013, 113, 50-57.
-
(2013)
Biosystems
, vol.113
, pp. 50-57
-
-
Huang, C.1
Yuan, J.2
-
86
-
-
84876493567
-
Locating apoptosis proteins by incorporating the signal peptide cleavage sites into the general form of Chou’s Pseudo amino acid composition
-
Qin, Y.F.; Zheng, L.; Huang, J. Locating apoptosis proteins by incorporating the signal peptide cleavage sites into the general form of Chou’s Pseudo amino acid composition. Int. J. Quantum Chem., 2013, 113, 1660-1667.
-
(2013)
Int. J. Quantum Chem
, vol.113
, pp. 1660-1667
-
-
Qin, Y.F.1
Zheng, L.2
Huang, J.3
-
87
-
-
84901263873
-
Predicting peroxidase subcellular location by hybridizing different descriptors of Chou’s pseudo amino acid patterns
-
Zuo, Y.C.; Peng, Y.; Liu, L.; Chen, W.; Yang, L.; Fan, G.L. Predicting peroxidase subcellular location by hybridizing different descriptors of Chou’s pseudo amino acid patterns. Anal. Biochem., 2014, 458, 14-19.
-
(2014)
Anal. Biochem
, vol.458
, pp. 14-19
-
-
Zuo, Y.C.1
Peng, Y.2
Liu, L.3
Chen, W.4
Yang, L.5
Fan, G.L.6
-
88
-
-
84905513826
-
Prediction of bacterial protein subcellular localization by incorporating various features into Chou’s PseAAC and a backward feature selection approach
-
Li, L.; Yu, S.; Xiao, W.; Li, Y.; Li, M.; Huang, L.; Zheng, X.; Zhou, S.; Yang, H. Prediction of bacterial protein subcellular localization by incorporating various features into Chou’s PseAAC and a backward feature selection approach. Biochimie, 2014, 104, 100-107.
-
(2014)
Biochimie
, vol.104
, pp. 100-107
-
-
Li, L.1
Yu, S.2
Xiao, W.3
Li, Y.4
Li, M.5
Huang, L.6
Zheng, X.7
Zhou, S.8
Yang, H.9
-
89
-
-
84908072570
-
Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou’s general PseAAC
-
Dehzangi, A.; Heffernan, R.; Sharma, A.; Lyons, J.; Paliwal, K.; Sattar, A. Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou’s general PseAAC. J. Theor. Biol., 2015, 364, 284-294.
-
(2015)
J. Theor. Biol
, vol.364
, pp. 284-294
-
-
Dehzangi, A.1
Heffernan, R.2
Sharma, A.3
Lyons, J.4
Paliwal, K.5
Sattar, A.6
-
90
-
-
77955964484
-
Using the concept of Chou’s pseudo amino acid composition to predict enzyme family classes: An approach with support vector machine based on discrete wavelet transform
-
Qiu, J.D.; Huang, J.H.; Shi, S.P.; Liang, R.P. Using the concept of Chou’s pseudo amino acid composition to predict enzyme family classes: an approach with support vector machine based on discrete wavelet transform. Protein Pept. Lett., 2010, 17, 715-722.
-
(2010)
Protein Pept. Lett
, vol.17
, pp. 715-722
-
-
Qiu, J.D.1
Huang, J.H.2
Shi, S.P.3
Liang, R.P.4
-
91
-
-
34548439881
-
Using Chou’s amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes
-
Zhou, X.B.; Chen, C.; Li, Z.C.; Zou, X.Y. Using Chou’s amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes. J. Theor. Biol., 2007, 248, 546–551.
-
(2007)
J. Theor. Biol
, vol.248
, pp. 546-551
-
-
Zhou, X.B.1
Chen, C.2
Li, Z.C.3
Zou, X.Y.4
-
92
-
-
54249139729
-
Predicting lipase types by improved Chou’s pseudo-amino acid composition
-
Zhang, G.Y.; Li, H.C.; Gao, J.Q.; Fang, B.S. Predicting lipase types by improved Chou’s pseudo-amino acid composition. Protein Pept. Lett., 2008, 15, 1132-1137.
-
(2008)
Protein Pept. Lett
, vol.15
, pp. 1132-1137
-
-
Zhang, G.Y.1
Li, H.C.2
Gao, J.Q.3
Fang, B.S.4
-
93
-
-
84868033411
-
Predicting the Classification of Transcription Factors by Incorporating their Binding Site Properties into a Novel Mode of Chou’s Pseudo Amino Acid Composition
-
Ren, L.Y.; Zhang, Y.S.; Gutman, I. Predicting the Classification of Transcription Factors by Incorporating their Binding Site Properties into a Novel Mode of Chou’s Pseudo Amino Acid Composition. Protein Pept. Lett., 2012, 19, 1170-1176.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 1170-1176
-
-
Ren, L.Y.1
Zhang, Y.S.2
Gutman, I.3
-
94
-
-
84908628104
-
Prediction of beta-lactamase and its class by Chou’s pseudo-amino acid composition and support vector machine
-
Kumar, R.; Srivastava, A.; Kumari, B.; Kumar, M. Prediction of beta-lactamase and its class by Chou’s pseudo-amino acid composition and support vector machine. J. Theor. Biol., 2015, 365, 96-103.
-
(2015)
J. Theor. Biol
, vol.365
, pp. 96-103
-
-
Kumar, R.1
Srivastava, A.2
Kumari, B.3
Kumar, M.4
-
95
-
-
84855690179
-
Prediction of metalloproteinase family based on the concept of Chou’s pseudo amino acid composition using a machine learning approach
-
Mohammad Beigi, M.; Behjati, M.; Mohabatkar, H. Prediction of metalloproteinase family based on the concept of Chou’s pseudo amino acid composition using a machine learning approach. J. Struct. Funct. Genom., 2011, 12, 191-197.
-
(2011)
J. Struct. Funct. Genom
, vol.12
, pp. 191-197
-
-
Mohammad Beigi, M.1
Behjati, M.2
Mohabatkar, H.3
-
96
-
-
84864770395
-
Wavelet images and Chou’s pseudo amino acid composition for protein classification
-
Nanni, L.; Brahnam, S.; Lumini, A. Wavelet images and Chou’s pseudo amino acid composition for protein classification. Amino Acids, 2012, 43, 657-665.
-
(2012)
Amino Acids
, vol.43
, pp. 657-665
-
-
Nanni, L.1
Brahnam, S.2
Lumini, A.3
-
97
-
-
42749090472
-
The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou’s pseudo amino acid composition
-
Lin, H. The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou’s pseudo amino acid composition. J. Theor. Biol., 2008, 252, 350-356.
-
(2008)
J. Theor. Biol
, vol.252
, pp. 350-356
-
-
Lin, H.1
-
98
-
-
84858833657
-
Discriminating Outer Membrane Proteins with Fuzzy K-Nearest Neighbor Algorithms Based on the General Form of Chou’s PseAAC
-
Hayat, M.; Khan, A. Discriminating Outer Membrane Proteins with Fuzzy K-Nearest Neighbor Algorithms Based on the General Form of Chou’s PseAAC. Protein Pept. Lett., 2012, 19, 411-421.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 411-421
-
-
Hayat, M.1
Khan, A.2
-
99
-
-
84876379510
-
A multilabel model based on Chou’s pseudoamino acid composition for identifying membrane proteins with both single and multiple functional types
-
Huang, C.; Yuan, J.Q. A multilabel model based on Chou’s pseudoamino acid composition for identifying membrane proteins with both single and multiple functional types. J. Membr. Biol., 2013, 246, 327-334.
-
(2013)
J. Membr. Biol
, vol.246
, pp. 327-334
-
-
Huang, C.1
Yuan, J.Q.2
-
100
-
-
84870215870
-
Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou’s pseudo amino acid composition
-
Chen, Y.K.; Li, K.B. Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou’s pseudo amino acid composition. J. Theor. Biol., 2013, 318, 1-12.
-
(2013)
J. Theor. Biol
, vol.318
, pp. 1-12
-
-
Chen, Y.K.1
Li, K.B.2
-
101
-
-
84890876239
-
A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou’s Pse-AAC
-
Han, G.S.; Yu, Z.G.; Anh, V. A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou’s Pse-AAC. J. Theor. Biol., 2014, 344, 31-39.
-
(2014)
J. Theor. Biol
, vol.344
, pp. 31-39
-
-
Han, G.S.1
Yu, Z.G.2
Anh, V.3
-
102
-
-
38149007012
-
Predicting DNA-binding proteins: Approached from Chou’s pseudo amino acid composition and other specific sequence features
-
Fang, Y.; Guo, Y.; Feng, Y.; Li, M. Predicting DNA-binding proteins: approached from Chou’s pseudo amino acid composition and other specific sequence features. Amino Acids, 2008, 34, 103-109.
-
(2008)
Amino Acids
, vol.34
, pp. 103-109
-
-
Fang, Y.1
Guo, Y.2
Feng, Y.3
Li, M.4
-
103
-
-
84863353488
-
Identify DNA-Binding Proteins with Optimal Chou’s Amino Acid Composition
-
Zhao, X.W.; Li, X.T.; Ma, Z.Q.; Yin, M.H. Identify DNA-Binding Proteins with Optimal Chou’s Amino Acid Composition. Protein Pept. Lett., 2012, 19, 398-405.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 398-405
-
-
Zhao, X.W.1
Li, X.T.2
Ma, Z.Q.3
Yin, M.H.4
-
104
-
-
84921023793
-
PseDNAPro: DNA-binding protein identification by combining Chou’s PseAAC and physicochemical distance transformation
-
Liu, B.; Xu, J.; Fan, S.; Xu, R.; Jiyun Zhou, J.; Wang, X. PseDNAPro: DNA-binding protein identification by combining Chou’s PseAAC and physicochemical distance transformation. Mol. Informatics, 2015, 34, 8-17
-
(2015)
Mol. Informatics
, vol.34
, pp. 8-17
-
-
Liu, B.1
Xu, J.2
Fan, S.3
Xu, R.4
Jiyun Zhou, J.5
Wang, X.6
-
105
-
-
50949129207
-
Using Chou’s pseudo amino acid composition to predict protein quaternary structure: A sequence-segmented PseAAC approach
-
Zhang, S.W.; Chen, W.; Yang, F.; Pan, Q. Using Chou’s pseudo amino acid composition to predict protein quaternary structure: a sequence-segmented PseAAC approach. Amino Acids, 2008, 35, 591-598.
-
(2008)
Amino Acids
, vol.35
, pp. 591-598
-
-
Zhang, S.W.1
Chen, W.2
Yang, F.3
Pan, Q.4
-
106
-
-
84868109035
-
Identifying protein quaternary structural attributes by incorporating physicochemical properties into the general form of Chou’s Pse-AAC via discrete wavelet transform
-
Sun, X.Y.; Shi, S.P.; Qiu, J.D.; Suo, S.B.; Huang, S.Y.; Liang, R.P. Identifying protein quaternary structural attributes by incorporating physicochemical properties into the general form of Chou’s Pse-AAC via discrete wavelet transform. Molecular Biosyst., 2012, 8, 3178-3184.
-
(2012)
Molecular Biosyst
, vol.8
, pp. 3178-3184
-
-
Sun, X.Y.1
Shi, S.P.2
Qiu, J.D.3
Suo, S.B.4
Huang, S.Y.5
Liang, R.P.6
-
107
-
-
83655165809
-
OligoPred: A web-server for predicting homo-oligomeric proteins by incorporating discrete wavelet transform into Chou’s pseudo amino acid composition
-
Qiu, J.D.; Suo, S.B.; Sun, X.Y.; Shi, S.P.; Liang, R.P. OligoPred: A web-server for predicting homo-oligomeric proteins by incorporating discrete wavelet transform into Chou’s pseudo amino acid composition. J. Mol. Graph. Model., 2011, 30, 129-134.
-
(2011)
J. Mol. Graph. Model
, vol.30
, pp. 129-134
-
-
Qiu, J.D.1
Suo, S.B.2
Sun, X.Y.3
Shi, S.P.4
Liang, R.P.5
-
108
-
-
65649105512
-
Prediction of Gprotein-coupled receptor classes based on the concept of Chou’s pseudo amino acid composition: An approach from discrete wavelet transform
-
Qiu, J.D.; Huang, J.H.; Liang, R.P.; Lu, X.Q. Prediction of Gprotein-coupled receptor classes based on the concept of Chou’s pseudo amino acid composition: an approach from discrete wavelet transform. Anal. Biochem., 2009, 390, 68-73.
-
(2009)
Anal. Biochem
, vol.390
, pp. 68-73
-
-
Qiu, J.D.1
Huang, J.H.2
Liang, R.P.3
Lu, X.Q.4
-
109
-
-
77951992931
-
Prediction of G-Protein-Coupled Receptor Classes in Low Homology Using Chou’s Pseudo Amino Acid Composition with Approximate Entropy and Hydrophobicity Patterns
-
Gu, Q.; Ding, Y.S.; Zhang, T.L. Prediction of G-Protein-Coupled Receptor Classes in Low Homology Using Chou’s Pseudo Amino Acid Composition with Approximate Entropy and Hydrophobicity Patterns. Protein Pept. Lett., 2010, 17, 559-567.
-
(2010)
Protein Pept. Lett
, vol.17
, pp. 559-567
-
-
Gu, Q.1
Ding, Y.S.2
Zhang, T.L.3
-
110
-
-
84865373769
-
Identifying GPCRs and their Types with Chou’s Pseudo Amino Acid Composition: An Approach from Multi-scale Energy Representation and Position Specific Scoring Matrix
-
Zia Ur, R.; Khan, A. Identifying GPCRs and their Types with Chou’s Pseudo Amino Acid Composition: An Approach from Multi-scale Energy Representation and Position Specific Scoring Matrix. Protein Pept. Lett., 2012, 19, 890-903.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 890-903
-
-
Zia Ur, R.1
Khan, A.2
-
111
-
-
84890539710
-
Using ensemble SVM to identify human GPCRs N-linked glycosylation sites based on the general form of Chou’s PseAAC
-
Xie, H.L.; Fu, L.; Nie, X.D. Using ensemble SVM to identify human GPCRs N-linked glycosylation sites based on the general form of Chou’s PseAAC. Protein Eng. Des. Sel., 2013, 26, 735-742.
-
(2013)
Protein Eng. Des. Sel
, vol.26
, pp. 735-742
-
-
Xie, H.L.1
Fu, L.2
Nie, X.D.3
-
112
-
-
84860584265
-
Predicting protein-protein interactions by combing various sequence-derived features into the general form of Chou’s Pseudo amino acid composition
-
Zhao, X.W.; Ma, Z.Q.; Yin, M.H. Predicting protein-protein interactions by combing various sequence-derived features into the general form of Chou’s Pseudo amino acid composition. Protein Pept. Lett., 2012, 19, 492-500.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 492-500
-
-
Zhao, X.W.1
Ma, Z.Q.2
Yin, M.H.3
-
113
-
-
84928722799
-
IPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
-
Jia, J.; Liu, Z.; Xiao, X. iPPI-Esml: an ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC J. Theor. Biol., 2015, 377, 47-56.
-
(2015)
J. Theor. Biol
, vol.377
, pp. 47-56
-
-
Jia, J.1
Liu, Z.2
Xiao, X.3
-
114
-
-
84865778459
-
Predicting Protein Solubility by the General Form of Chou’s Pseudo Amino Acid Composition: Approached from Chaos Game Representation and Fractal Dimension
-
Niu, X.H.; Hu, X.H.; Shi, F.; Xia, J.B. Predicting Protein Solubility by the General Form of Chou’s Pseudo Amino Acid Composition: Approached from Chaos Game Representation and Fractal Dimension. Protein Pept. Lett., 2012, 19, 940-948.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 940-948
-
-
Niu, X.H.1
Hu, X.H.2
Shi, F.3
Xia, J.B.4
-
115
-
-
84880015175
-
Using the concept of Chou’s pseudo amino acid composition to predict protein solubility: An approach with entropies in information theory
-
Xiaohui, N.; Nana, L.; Jingbo, X.; Dingyan, C.; Yuehua, P.; Yang, X.; Weiquan, W.; Dongming, W.; Zengzhen, W. Using the concept of Chou’s pseudo amino acid composition to predict protein solubility: An approach with entropies in information theory. J. Theor. Biol., 2013, 332C, 211-217.
-
(2013)
J. Theor. Biol
, vol.332C
, pp. 211-217
-
-
Xiaohui, N.1
Nana, L.2
Jingbo, X.3
Dingyan, C.4
Yuehua, P.5
Yang, X.6
Weiquan, W.7
Dongming, W.8
Zengzhen, W.9
-
116
-
-
77958497871
-
Prediction of cyclin proteins using Chou’s pseudo amino acid composition
-
Mohabatkar, H. Prediction of cyclin proteins using Chou’s pseudo amino acid composition. Protein Pept. Lett., 2010, 17, 1207-1214.
-
(2010)
Protein Pept. Lett
, vol.17
, pp. 1207-1214
-
-
Mohabatkar, H.1
-
117
-
-
45649083292
-
Predicting the cofactors of oxidoreductases based on amino acid composition distribution and Chou’s amphiphilic pseudo amino acid composition
-
Zhang, G.Y.; Fang, B.S. Predicting the cofactors of oxidoreductases based on amino acid composition distribution and Chou’s amphiphilic pseudo amino acid composition. J. Theor. Biol., 2008, 253, 310-315.
-
(2008)
J. Theor. Biol
, vol.253
, pp. 310-315
-
-
Zhang, G.Y.1
Fang, B.S.2
-
118
-
-
84882396882
-
Prediction of Essential Proteins in Prokaryotes by Incorporating Various Physico-chemical Features into the General form of Chou’s Pseudo Amino Acid Composition
-
Sarangi, A.N.; Lohani, M.; Aggarwal, R. Prediction of Essential Proteins in Prokaryotes by Incorporating Various Physico-chemical Features into the General form of Chou’s Pseudo Amino Acid Composition. Protein Pept. Lett., 2013, 20, 781-795.
-
(2013)
Protein Pept. Lett
, vol.20
, pp. 781-795
-
-
Sarangi, A.N.1
Lohani, M.2
Aggarwal, R.3
-
119
-
-
79955564229
-
Prediction of GABA(A) receptor proteins using the concept of Chou’s pseudoamino acid composition and support vector machine
-
Mohabatkar, H.; Mohammad Beigi, M.; Esmaeili, A. Prediction of GABA(A) receptor proteins using the concept of Chou’s pseudoamino acid composition and support vector machine. J. Theor. Biol., 2011, 281, 18-23.
-
(2011)
J. Theor. Biol
, vol.281
, pp. 18-23
-
-
Mohabatkar, H.1
Mohammad Beigi, M.2
Esmaeili, A.3
-
120
-
-
84902299537
-
Prediction of Protein S-Nitrosylation Sites Based on Adapted Normal Distribution Bi-Profile Bayes and Chou’s Pseudo Amino Acid Composition
-
Jia, C.; Lin, X.; Wang, Z. Prediction of Protein S-Nitrosylation Sites Based on Adapted Normal Distribution Bi-Profile Bayes and Chou’s Pseudo Amino Acid Composition. Int. J. Mol. Sci., 2014, 15, 10410-10423.
-
(2014)
Int. J. Mol. Sci
, vol.15
, pp. 10410-10423
-
-
Jia, C.1
Lin, X.2
Wang, Z.3
-
121
-
-
84903398779
-
PSNO: Predicting Cysteine SNitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC
-
Zhang, J.; Zhao, X.; Sun, P.; Ma, Z. PSNO: Predicting Cysteine SNitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC. Int. J. Mol. Sci., 2014, 15, 11204-11219.
-
(2014)
Int. J. Mol. Sci
, vol.15
, pp. 11204-11219
-
-
Zhang, J.1
Zhao, X.2
Sun, P.3
Ma, Z.4
-
122
-
-
65349165718
-
Prediction of cell wall lytic enzymes using Chou’s amphiphilic pseudo amino acid composition
-
Ding, H.; Luo, L.; Lin, H. Prediction of cell wall lytic enzymes using Chou’s amphiphilic pseudo amino acid composition. Protein Pept. Lett., 2009, 16, 351-355.
-
(2009)
Protein Pept. Lett
, vol.16
, pp. 351-355
-
-
Ding, H.1
Luo, L.2
Lin, H.3
-
123
-
-
84892972298
-
Protein remote homology detection by combining Chou’s pseudo amino acid composition and profile-based protein representation
-
Liu, B.; Wang, X.; Zou, Q.; Dong, Q.; Chen, Q. Protein remote homology detection by combining Chou’s pseudo amino acid composition and profile-based protein representation. Mol. Informatics, 2013, 32, 775-782.
-
(2013)
Mol. Informatics
, vol.32
, pp. 775-782
-
-
Liu, B.1
Wang, X.2
Zou, Q.3
Dong, Q.4
Chen, Q.5
-
124
-
-
84863381837
-
Predicting Protein Fold Types by the General Form of Chou’s Pseudo Amino Acid Composition: Approached from Optimal Feature Extractions
-
Liu, L.; Hu, X.Z.; Liu, X.X.; Wang, Y.; Li, S.B. Predicting Protein Fold Types by the General Form of Chou’s Pseudo Amino Acid Composition: Approached from Optimal Feature Extractions. Protein Pept. Lett., 2012, 19, 439-449.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 439-449
-
-
Liu, L.1
Hu, X.Z.2
Liu, X.X.3
Wang, Y.4
Li, S.B.5
-
125
-
-
79953735805
-
Predicting protein folding rates using the concept of Chou’s pseudo amino acid composition
-
Guo, J.; Rao, N.; Liu, G.; Yang, Y.; Wang, G. Predicting protein folding rates using the concept of Chou’s pseudo amino acid composition. J. Comput. Chem., 2011, 32, 1612-1617.
-
(2011)
J. Comput. Chem
, vol.32
, pp. 1612-1617
-
-
Guo, J.1
Rao, N.2
Liu, G.3
Yang, Y.4
Wang, G.5
-
126
-
-
61549096128
-
Prediction of protein secondary structure content by using the concept of Chou’s pseudo amino acid composition and support vector machine
-
Chen, C.; Chen, L.; Zou, X.; Cai, P. Prediction of protein secondary structure content by using the concept of Chou’s pseudo amino acid composition and support vector machine. Protein Pept. Lett., 2009, 16, 27-31.
-
(2009)
Protein Pept. Lett
, vol.16
, pp. 27-31
-
-
Chen, C.1
Chen, L.2
Zou, X.3
Cai, P.4
-
127
-
-
78650099168
-
Supersecondary structure prediction using Chou’s pseudo amino acid composition
-
Zou, D.; He, Z.; He, J.; Xia, Y. Supersecondary structure prediction using Chou’s pseudo amino acid composition. J. Comput. Chem., 2011, 32, 271-278.
-
(2011)
J. Comput. Chem
, vol.32
, pp. 271-278
-
-
Zou, D.1
He, Z.2
He, J.3
Xia, Y.4
-
128
-
-
84879708816
-
Discriminating bioluminescent proteins by incorporating average chemical shift and evolutionary information into the general form of Chou’s pseudo amino acid composition
-
Fan, G.L.; Li, Q.Z. Discriminating bioluminescent proteins by incorporating average chemical shift and evolutionary information into the general form of Chou’s pseudo amino acid composition. J. Theor. Biol., 2013, 334, 45-51.
-
(2013)
J. Theor. Biol
, vol.334
, pp. 45-51
-
-
Fan, G.L.1
Li, Q.Z.2
-
129
-
-
84911416290
-
Discrimination of acidic and alkaline enzyme using Chou’s pseudo amino acid composition in conjunction with probabilistic neural network model
-
Khan, Z.U.; Hayat, M.; Khan, M.A. Discrimination of acidic and alkaline enzyme using Chou’s pseudo amino acid composition in conjunction with probabilistic neural network model. J. Theor. Biol., 2015, 365, 197-203.
-
(2015)
J. Theor. Biol
, vol.365
, pp. 197-203
-
-
Khan, Z.U.1
Hayat, M.2
Khan, M.A.3
-
130
-
-
67650739405
-
Prediction of protein structural classes by Chou’s pseudo amino acid composition: Approached using continuous wavelet transform and principal component analysis
-
Li, Z.C.; Zhou, X.B.; Dai, Z.; Zou, X.Y. Prediction of protein structural classes by Chou’s pseudo amino acid composition: approached using continuous wavelet transform and principal component analysis. Amino Acids, 2009, 37, 415-425.
-
(2009)
Amino Acids
, vol.37
, pp. 415-425
-
-
Li, Z.C.1
Zhou, X.B.2
Dai, Z.3
Zou, X.Y.4
-
131
-
-
78649324596
-
A novel feature representation method based on Chou’s pseudo amino acid composition for protein structural class prediction
-
Sahu, S.S.; Panda, G. A novel feature representation method based on Chou’s pseudo amino acid composition for protein structural class prediction. Comput. Biol. Chem., 2010, 34, 320-327.
-
(2010)
Comput. Biol. Chem
, vol.34
, pp. 320-327
-
-
Sahu, S.S.1
Panda, G.2
-
132
-
-
84863345053
-
Dual-Layer Wavelet SVM for Predicting Protein Structural Class Via the General Form of Chou’s Pseudo Amino Acid Composition
-
Chen, C.; Shen, Z.B.; Zou, X.Y. Dual-Layer Wavelet SVM for Predicting Protein Structural Class Via the General Form of Chou’s Pseudo Amino Acid Composition. Protein Pept. Lett., 2012, 19, 422-429.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 422-429
-
-
Chen, C.1
Shen, Z.B.2
Zou, X.Y.3
-
133
-
-
84868014079
-
Incorporating Secondary Features into the General form of Chou’s PseAAC for Predicting Protein Structural Class
-
Liao, B.; Xiang, Q.; Li, D. Incorporating Secondary Features into the General form of Chou’s PseAAC for Predicting Protein Structural Class. Protein Pept. Lett., 2012, 19, 1133-1138.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 1133-1138
-
-
Liao, B.1
Xiang, Q.2
Li, D.3
-
134
-
-
84863389371
-
Predicting Protein Structural Class by Incorporating Patterns of Over-Represented k-mers into the General form of Chou’s Pse-AAC
-
Qin, Y.F.; Wang, C.H.; Yu, X.Q.; Zhu, J.; Liu, T.G.; Zheng, X.Q. Predicting Protein Structural Class by Incorporating Patterns of Over-Represented k-mers into the General form of Chou’s Pse-AAC. Protein Pept. Lett., 2012, 19, 388-397.
-
(2012)
Protein Pept. Lett
, vol.19
, pp. 388-397
-
-
Qin, Y.F.1
Wang, C.H.2
Yu, X.Q.3
Zhu, J.4
Liu, T.G.5
Zheng, X.Q.6
-
135
-
-
84890593591
-
Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou’s pseudo amino acid composition
-
Kong, L.; Zhang, L.; Lv, J. Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou’s pseudo amino acid composition. J. Theor. Biol., 2014, 344, 12-18.
-
(2014)
J. Theor. Biol
, vol.344
, pp. 12-18
-
-
Kong, L.1
Zhang, L.2
Lv, J.3
-
136
-
-
84899031689
-
Predict protein structural class for low-similarity sequences by evolutionary difference information into the general form of Chou’s pseudo amino acid composition
-
Zhang, L.; Zhao, X.; Kong, L. Predict protein structural class for low-similarity sequences by evolutionary difference information into the general form of Chou’s pseudo amino acid composition. J. Theor. Biol., 2014, 355, 105-110.
-
(2014)
J. Theor. Biol
, vol.355
, pp. 105-110
-
-
Zhang, L.1
Zhao, X.2
Kong, L.3
-
137
-
-
84904506417
-
Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou’s general PseAAC and Support Vector Machine
-
Hayat, M.; Iqbal, N. Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou’s general PseAAC and Support Vector Machine. Comput. Methods Prog. Biomed., 2014, 116, 184-192.
-
(2014)
Comput. Methods Prog. Biomed
, vol.116
, pp. 184-192
-
-
Hayat, M.1
Iqbal, N.2
-
138
-
-
84904722553
-
Prediction of protein structure classes by incorporating different protein descriptors into general Chou’s pseudo amino acid composition
-
Nanni, L.; Brahnam, S.; Lumini, A. Prediction of protein structure classes by incorporating different protein descriptors into general Chou’s pseudo amino acid composition. J. Theor. Biol., 2014, 360C, 109-116.
-
(2014)
J. Theor. Biol
, vol.360C
, pp. 109-116
-
-
Nanni, L.1
Brahnam, S.2
Lumini, A.3
-
139
-
-
84888000439
-
An alignment-free method to find similarity among protein sequences via the general form of Chou’s pseudo amino acid composition
-
Gupta, M.K.; Niyogi, R.; Misra, M. An alignment-free method to find similarity among protein sequences via the general form of Chou’s pseudo amino acid composition. SAR QSAR Environ. Res., 2013, 24, 597-609.
-
(2013)
SAR QSAR Environ. Res
, vol.24
, pp. 597-609
-
-
Gupta, M.K.1
Niyogi, R.2
Misra, M.3
-
140
-
-
84903592187
-
ICTXType: A sequence-based predictor for identifying the types of conotoxins in targeting ion channels
-
2014
-
Ding, H.; Deng, E.Z.; Yuan, L.F.; Liu, L.; Lin, H.; Chen, W. iCTXType: A sequence-based predictor for identifying the types of conotoxins in targeting ion channels. BioMed. Res. Int. (BMRI), 2014, 2014, 286419.
-
(2014)
Biomed. Res. Int. (BMRI)
-
-
Ding, H.1
Deng, E.Z.2
Yuan, L.F.3
Liu, L.4
Lin, H.5
Chen, W.6
-
141
-
-
59649123088
-
Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou’s pseudo amino acid composition
-
Georgiou, D.N.; Karakasidis, T.E.; Nieto, J.J.; Torres, A. Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou’s pseudo amino acid composition. J. Theor. Biol., 2009, 257, 17-26.
-
(2009)
J. Theor. Biol
, vol.257
, pp. 17-26
-
-
Georgiou, D.N.1
Karakasidis, T.E.2
Nieto, J.J.3
Torres, A.4
-
142
-
-
84896693437
-
A short survey on genetic sequences, Chou’s pseudo amino acid composition and its combination with fuzzy set theory
-
Georgiou, D.N.; Karakasidis, T.E.; Megaritis, A.C. A short survey on genetic sequences, Chou’s pseudo amino acid composition and its combination with fuzzy set theory. Open Bioinformatics J., 2013, 7, 41-48.
-
(2013)
Open Bioinformatics J
, vol.7
, pp. 41-48
-
-
Georgiou, D.N.1
Karakasidis, T.E.2
Megaritis, A.C.3
-
143
-
-
84876053736
-
IRSpot-PseDNC: Identify recombination spots with pseudo dinucleotide composition
-
Chen, W.; Feng, P.M.; Lin, H.; Chou, K.C. iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition Nucleic Acids Res., 2013, 41, e68.
-
(2013)
Nucleic Acids Res
, vol.41
-
-
Chen, W.1
Feng, P.M.2
Lin, H.3
Chou, K.C.4
-
144
-
-
84868128310
-
INuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties
-
Chen, W.; Lin, H.; Feng, P.M.; Ding, C.; Zuo, Y.C. iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties. PLoS ONE, 2012, 7, e47843.
-
(2012)
Plos ONE
, vol.7
-
-
Chen, W.1
Lin, H.2
Feng, P.M.3
Ding, C.4
Zuo, Y.C.5
-
145
-
-
84896463976
-
INuc-PseKNC: A sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition
-
Guo, S.H.; Deng, E.Z.; Xu, L.Q.; Ding, H.; Lin, H.; Chen, W. iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Bioinformatics, 2014, 30, 1522-1529.
-
(2014)
Bioinformatics
, vol.30
, pp. 1522-1529
-
-
Guo, S.H.1
Deng, E.Z.2
Xu, L.Q.3
Ding, H.4
Lin, H.5
Chen, W.6
-
146
-
-
84892958175
-
IRSpot-TNCPseAAC: Identify recombination spots with trinucleotide composition and pseudo amino acid components
-
Qiu, W.R.; Xiao, X. iRSpot-TNCPseAAC: Identify recombination spots with trinucleotide composition and pseudo amino acid components. Int. J. Mol. Sci., 2014, 15, 1746-1766.
-
(2014)
Int. J. Mol. Sci
, vol.15
, pp. 1746-1766
-
-
Qiu, W.R.1
Xiao, X.2
-
147
-
-
84900463301
-
PseKNC: A flexible webserver for generating pseudo K-tuple nucleotide composition
-
Chen, W.; Lei, T.Y.; Jin, D.C.; Lin, H. PseKNC: a flexible webserver for generating pseudo K-tuple nucleotide composition. Anal. Biochem., 2014, 456, 53-60.
-
(2014)
Anal. Biochem
, vol.456
, pp. 53-60
-
-
Chen, W.1
Lei, T.Y.2
Jin, D.C.3
Lin, H.4
-
148
-
-
84941040066
-
IPro54-PseKNC: A sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition
-
Lin, H.; Deng, E.Z.; Ding, H.; Chen, W.; Chou, K.C. iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition. Nucleic Acids Res., 2014, 42, 12961-12972.
-
(2014)
Nucleic Acids Res
, vol.42
, pp. 12961-12972
-
-
Lin, H.1
Deng, E.Z.2
Ding, H.3
Chen, W.4
Chou, K.C.5
-
149
-
-
84902186435
-
ISS-PseDNC: Identifying splicing sites using pseudo dinucleotide composition
-
2014
-
Chen, W.; Feng, P.M.; Lin, H. iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition. Biomed. Res. Int. (BMRI), 2014, 2014, 623149.
-
(2014)
Biomed. Res. Int. (BMRI)
-
-
Chen, W.1
Feng, P.M.2
Lin, H.3
-
150
-
-
84921500317
-
ITIS-PseTNC: A sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition
-
Chen, W.; Feng, P.M.; Deng, E.Z.; Lin, H. iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition. Anal. Biochem., 2014, 462, 76-83.
-
(2014)
Anal. Biochem
, vol.462
, pp. 76-83
-
-
Chen, W.1
Feng, P.M.2
Deng, E.Z.3
Lin, H.4
-
151
-
-
84922387565
-
PseKNCGeneral: A cross-platform package for generating various modes of pseudo nucleotide compositions
-
Chen, W.; Zhang, X.; Brooker, J.; Lin, H.; Zhang, L. PseKNCGeneral: a cross-platform package for generating various modes of pseudo nucleotide compositions. Bioinformatics, 2015, 31, 119-120.
-
(2015)
Bioinformatics
, vol.31
, pp. 119-120
-
-
Chen, W.1
Zhang, X.2
Brooker, J.3
Lin, H.4
Zhang, L.5
-
152
-
-
84927712367
-
RepDNA: A Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects
-
Liu, B.; Liu, F.; Fang, L.; Wang, X. repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects. Bioinformatics, 2015, 31, 1307-1309.
-
(2015)
Bioinformatics
, vol.31
, pp. 1307-1309
-
-
Liu, B.1
Liu, F.2
Fang, L.3
Wang, X.4
-
153
-
-
84956620000
-
RepRNA: A web server for generating various feature vectors of RNA sequences
-
Liu, B.; Liu, F.; Fang, L.; Wang, X. repRNA: a web server for generating various feature vectors of RNA sequences. Mol. Genet. Genom., 2015, DOI:10.1007/s00438-015-1078-7.
-
(2015)
Mol. Genet. Genom
-
-
Liu, B.1
Liu, F.2
Fang, L.3
Wang, X.4
-
154
-
-
84926631457
-
Identification of real microRNA precursors with a pseudo structure status composition approach
-
Liu, B.; Fang, L.; Liu, F.; Wang, X.; Chen, J. Identification of real microRNA precursors with a pseudo structure status composition approach. PLoS ONE, 2015, 10, e0121501.
-
(2015)
Plos ONE
, vol.10
-
-
Liu, B.1
Fang, L.2
Liu, F.3
Wang, X.4
Chen, J.5
-
155
-
-
84954405375
-
IMiRNA-PseDPC: MicroRNA precursor identification with a pseudo distance-pair composition approach
-
Liu, B.; Fang, L.; Liu, F.; Wang, X. iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach. J. Biomol. Struct. Dyn. (JBSD), 2015, http://dx.doi.org/10.1080/07391102.07392015.01014422.
-
(2015)
J. Biomol. Struct. Dyn. (JBSD)
-
-
Liu, B.1
Fang, L.2
Liu, F.3
Wang, X.4
-
156
-
-
84859298511
-
Identification of colorectal cancer related genes with mRMR and shortest path in proteinprotein interaction network
-
Li, B.Q.; Huang, T.; Liu, L.; Cai, Y.D. Identification of colorectal cancer related genes with mRMR and shortest path in proteinprotein interaction network. PLoS ONE, 2012, 7, e33393.
-
(2012)
Plos ONE
, vol.7
-
-
Li, B.Q.1
Huang, T.2
Liu, L.3
Cai, Y.D.4
-
157
-
-
84859499974
-
Hepatitis C virus network based classification of hepatocellular cirrhosis and carcinoma
-
Huang, T.; Wang, J.; Cai, Y.D.; Yu, H. Hepatitis C virus network based classification of hepatocellular cirrhosis and carcinoma. PLoS ONE, 2012, 7, e34460.
-
(2012)
Plos ONE
, vol.7
-
-
Huang, T.1
Wang, J.2
Cai, Y.D.3
Yu, H.4
-
158
-
-
84876592631
-
Signal propagation in protein interaction network during colorectal cancer progression
-
Jiang, Y.; Huang, T.; Chen, L.; Gao, Y.F. Signal propagation in protein interaction network during colorectal cancer progression. Biomed. Res. Int., 2013, 2013, 287019.
-
(2013)
Biomed. Res. Int
, pp. 2013
-
-
Jiang, Y.1
Huang, T.2
Chen, L.3
Gao, Y.F.4
-
159
-
-
37549004451
-
PseAAC: A flexible web-server for generating various kinds of protein pseudo amino acid composition
-
Shen, H.B.; Chou, K.C. PseAAC: a flexible web-server for generating various kinds of protein pseudo amino acid composition. Anal. Biochem., 2008, 373, 386-388.
-
(2008)
Anal. Biochem
, vol.373
, pp. 386-388
-
-
Shen, H.B.1
Chou, K.C.2
-
160
-
-
84859932176
-
PseAAC-Builder: A crossplatform stand-alone program for generating various special Chou’s pseudo-amino acid compositions
-
Du, P.; Wang, X.; Xu, C.; Gao, Y. PseAAC-Builder: A crossplatform stand-alone program for generating various special Chou’s pseudo-amino acid compositions. Anal. Biochem., 2012, 425, 117-119.
-
(2012)
Anal. Biochem
, vol.425
, pp. 117-119
-
-
Du, P.1
Wang, X.2
Xu, C.3
Gao, Y.4
-
161
-
-
84979865452
-
Pse-in-One: A web server for generating various modes of pseudo components of DNA
-
Liu, B.; Liu, F.; Wang, X.; Chen, J.; Fang, L.; Chou, K.C. Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences Nucleic Acids Res., 2015, 43, W65-W71.
-
(2015)
RNA, and Protein Sequences Nucleic Acids Res
, vol.43
, pp. W65-W71
-
-
Liu, B.1
Liu, F.2
Wang, X.3
Chen, J.4
Fang, L.5
Chou, K.C.6
-
162
-
-
84923361176
-
IDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition
-
(also Data in Brief, 2015, 4, 87-89)
-
Liu, Z.; Xiao, X.; Qiu, W.R.; Chou, K.C. iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition. Anal. Biochem. (also Data in Brief, 2015, 4, 87-89), 2015, 474, 69-77.
-
(2015)
Anal. Biochem
, vol.474
, pp. 69-77
-
-
Liu, Z.1
Xiao, X.2
Qiu, W.R.3
Chou, K.C.4
-
163
-
-
84942246769
-
IRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition
-
Chen, W.; Feng, P.; Ding, H.; Lin, H. iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition Anal. Biochem., 2015, doi: 10.1016/j.ab.2015.08.021.
-
(2015)
Anal. Biochem
-
-
Chen, W.1
Feng, P.2
Ding, H.3
Lin, H.4
-
164
-
-
34548301416
-
Prediction of linear B-cell epitopes using amino acid pair antigenicity scale
-
Chen, J.; Liu, H.; Yang, J. Prediction of linear B-cell epitopes using amino acid pair antigenicity scale. Amino Acids, 2007, 33, 423-428.
-
(2007)
Amino Acids
, vol.33
, pp. 423-428
-
-
Chen, J.1
Liu, H.2
Yang, J.3
-
165
-
-
0035178419
-
Prediction of protein signal sequences and their cleavage sites
-
Chou, K.C. Prediction of protein signal sequences and their cleavage sites. Proteins: Struct. Funct. Genet., 2001, 42, 136-139.
-
(2001)
Proteins: Struct. Funct. Genet
, vol.42
, pp. 136-139
-
-
Chou, K.C.1
-
166
-
-
0035748859
-
Prediction of signal peptides using scaled window
-
Chou, K.C. Prediction of signal peptides using scaled window. Peptides, 2001, 22, 1973-1979.
-
(2001)
Peptides
, vol.22
, pp. 1973-1979
-
-
Chou, K.C.1
-
167
-
-
84855641685
-
ILoc-Hum: Using accumulationlabel scale to predict subcellular locations of human proteins with both single and multiple sites
-
Chou, K.C.; Wu, Z.C.; Xiao, X. iLoc-Hum: Using accumulationlabel scale to predict subcellular locations of human proteins with both single and multiple sites. Mol. Biosyst., 2012, 8, 629-641.
-
(2012)
Mol. Biosyst
, vol.8
, pp. 629-641
-
-
Chou, K.C.1
Wu, Z.C.2
Xiao, X.3
-
168
-
-
33847668306
-
Hum-mPLoc: An ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple sites
-
Shen, H.B.; Chou, K.C. Hum-mPLoc: An ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple sites. Biochem. Biophys. Res. Commun. (BBRC), 2007, 355, 1006-1011.
-
(2007)
Biochem. Biophys. Res. Commun. (BBRC)
, vol.355
, pp. 1006-1011
-
-
Shen, H.B.1
Chou, K.C.2
-
169
-
-
84875074764
-
IAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
-
Xiao, X.; Wang, P.; Lin, W.Z.; Jia, J.H. iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types. Anal. Biochem., 2013, 436, 168-177.
-
(2013)
Anal. Biochem
, vol.436
, pp. 168-177
-
-
Xiao, X.1
Wang, P.2
Lin, W.Z.3
Jia, J.H.4
-
170
-
-
84874928986
-
ILoc-Animal: A multi-label learning classifier for predicting subcellular localization of animal proteins
-
Lin, W.Z.; Fang, J.A.; Xiao, X. iLoc-Animal: A multi-label learning classifier for predicting subcellular localization of animal proteins Mol. Biosyst., 2013, 9, 634-644.
-
(2013)
Mol. Biosyst
, vol.9
, pp. 634-644
-
-
Lin, W.Z.1
Fang, J.A.2
Xiao, X.3
-
171
-
-
0029157083
-
Review: Prediction of protein structural classes
-
Chou, K.C.; Zhang, C.T. Review: Prediction of protein structural classes. Crit. Rev. Biochem. Mol. Biol., 1995, 30, 275-349.
-
(1995)
Crit. Rev. Biochem. Mol. Biol
, vol.30
, pp. 275-349
-
-
Chou, K.C.1
Zhang, C.T.2
-
172
-
-
79951518208
-
Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review)
-
Chou, K.C. Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review). J. Theor. Biol., 2011, 273, 236-247.
-
(2011)
J. Theor. Biol
, vol.273
, pp. 236-247
-
-
Chou, K.C.1
-
173
-
-
77956199192
-
Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization
-
Chou, K.C.; Shen, H.B. Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization. PLoS ONE, 2010, 5: e11335, http://dx.doi.org/10.1371/journal.pone.0011335
-
(2010)
Plos ONE
, vol.5
-
-
Chou, K.C.1
Shen, H.B.2
-
174
-
-
77951652612
-
Gneg-mPLoc: A top-down strategy to enhance the quality of predicting subcellular localization of Gramnegative bacterial proteins
-
Shen, H.B.; Chou, K.C. Gneg-mPLoc: A top-down strategy to enhance the quality of predicting subcellular localization of Gramnegative bacterial proteins. J. Theor. Biol., 2010, 264, 326-333.
-
(2010)
J. Theor. Biol
, vol.264
, pp. 326-333
-
-
Shen, H.B.1
Chou, K.C.2
-
175
-
-
79959282135
-
A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites
-
Xiao, X.; Wu, Z.C. A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites. PLoS ONE, 2011, 6, e20592.
-
(2011)
Plos ONE
, vol.6
-
-
Xiao, X.1
Wu, Z.C.2
|