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Volumn 32, Issue 20, 2016, Pages 3133-3141

pSumo-CD: Predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; PROTEIN;

EID: 84995377061     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btw387     Document Type: Article
Times cited : (176)

References (109)
  • 1
    • 84953389263 scopus 로고    scopus 로고
    • Prediction of protein submitochondrial locations by incorporating dipeptide composition into Chou's general pseudo amino acid composition
    • Ahmad, K., et al. (2016). Prediction of protein submitochondrial locations by incorporating dipeptide composition into Chou's general pseudo amino acid composition. J. Membr. Biol, 10.1007/s00232-00015-09868-00238
    • (2016) J. Membr. Biol
    • Ahmad, K.1
  • 2
    • 9144232912 scopus 로고    scopus 로고
    • UniProt: The Universal Protein knowledgebase
    • Apweiler, R., et al. (2004). UniProt: the Universal Protein knowledgebase. Nucleic Acids Res., 32, D115-D119
    • (2004) Nucleic Acids Res , vol.32 , pp. D115-D119
    • Apweiler, R.1
  • 3
    • 0038636605 scopus 로고    scopus 로고
    • Support vector machines for predicting membrane protein types by using functional domain composition
    • Cai, Y.D., et al. (2003). Support vector machines for predicting membrane protein types by using functional domain composition. Biophys. J., 84, 3257-3263
    • (2003) Biophys. J. , vol.84 , pp. 3257-3263
    • Cai, Y.D.1
  • 4
    • 84875576158 scopus 로고    scopus 로고
    • Propy: A tool to generate various modes of Chou's PseAAC
    • Cao, D.S., et al. (2013). propy: a tool to generate various modes of Chou's PseAAC. Bioinformatics, 29, 960-962
    • (2013) Bioinformatics , vol.29 , pp. 960-962
    • Cao, D.S.1
  • 5
    • 34548301416 scopus 로고    scopus 로고
    • Prediction of linear B-cell epitopes using amino acid pair antigenicity scale
    • Chen, J., et al. (2007). Prediction of linear B-cell epitopes using amino acid pair antigenicity scale. Amino Acids, 33, 423-428
    • (2007) Amino Acids , vol.33 , pp. 423-428
    • Chen, J.1
  • 6
    • 84868128310 scopus 로고    scopus 로고
    • INuc-PhysChem: A sequence-based predictor for identifying nucleosomes via physicochemical properties
    • Chen, W., et al. (2012). iNuc-PhysChem: a sequence-based predictor for identifying nucleosomes via physicochemical properties. PLoS One, 7, e47843
    • (2012) PLoS One , vol.7 , pp. e47843
    • Chen, W.1
  • 7
    • 84862284752 scopus 로고    scopus 로고
    • SUMOhydro: A novel method for the prediction of sumoylation sites based on hydrophobic properties
    • Chen, Y.Z., et al. (2012). SUMOhydro: a novel method for the prediction of sumoylation sites based on hydrophobic properties. PLoS One, 7, e39195
    • (2012) PLoS One , vol.7 , pp. e39195
    • Chen, Y.Z.1
  • 8
    • 84876053736 scopus 로고    scopus 로고
    • IRSpot-PseDNC: Identify recombination spots with pseudo dinucleotide composition
    • Chen, W., et al. (2013). iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition. Nucleic Acids Res., 41, e68
    • (2013) Nucleic Acids Res , vol.41 , pp. e68
    • Chen, W.1
  • 9
    • 84921500317 scopus 로고    scopus 로고
    • ITIS-PseTNC: A sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition
    • Chen, W., et al. (2014). iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition. Anal. Biochem., 462, 76-83
    • (2014) Anal. Biochem , vol.462 , pp. 76-83
    • Chen, W.1
  • 10
    • 84902186435 scopus 로고    scopus 로고
    • ISS-PseDNC: Identifying splicing sites using pseudo dinucleotide composition
    • Chen, W., et al. (2014). iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition. Biomed. Res. Int. (BMRI), 2014, 623149
    • (2014) Biomed. Res. Int. (BMRI) , vol.2014 , pp. 623149
    • Chen, W.1
  • 11
    • 84900463301 scopus 로고    scopus 로고
    • PseKNC: A flexible web-server for generating pseudo K-Tuple nucleotide composition
    • Chen, W., et al. (2014). PseKNC: a flexible web-server for generating pseudo K-Tuple nucleotide composition. Anal. Biochem., 456, 53-60
    • (2014) Anal. Biochem , vol.456 , pp. 53-60
    • Chen, W.1
  • 12
    • 84942246769 scopus 로고    scopus 로고
    • IRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition
    • Also, Data in Brief 2015, 5: 376-378
    • Chen, W., et al. (2015). iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition. Anal. Biochem., 490, 26-33. (Also, Data in Brief, 2015, 5: 376-378
    • (2015) Anal. Biochem , vol.490 , pp. 26-33
    • Chen, W.1
  • 13
    • 84941783146 scopus 로고    scopus 로고
    • Pseudo nucleotide composition or PseKNC: An effective formulation for analyzing genomic sequences
    • Chen, W., et al. (2015). Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences. Mol. BioSyst., 11, 2620-2634
    • (2015) Mol. BioSyst , vol.11 , pp. 2620-2634
    • Chen, W.1
  • 14
    • 84922387565 scopus 로고    scopus 로고
    • PseKNC-General: A cross-platform package for generating various modes of pseudo nucleotide compositions
    • Chen, W., et al. (2015). PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions. Bioinformatics, 31, 119-120
    • (2015) Bioinformatics , vol.31 , pp. 119-120
    • Chen, W.1
  • 15
    • 84962865637 scopus 로고    scopus 로고
    • IACP: A sequence-based tool for identifying anticancer peptides
    • Chen, W., et al. (2016). iACP: a sequence-based tool for identifying anticancer peptides. Oncotarget, 7, 16895-16909
    • (2016) Oncotarget , vol.7 , pp. 16895-16909
    • Chen, W.1
  • 16
    • 84958059324 scopus 로고    scopus 로고
    • Using deformation energy to analyze nucleosome positioning in genomes
    • Chen, W., et al. (2016). Using deformation energy to analyze nucleosome positioning in genomes. Genomics, 107, 69-75
    • (2016) Genomics , vol.107 , pp. 69-75
    • Chen, W.1
  • 17
    • 85015236342 scopus 로고    scopus 로고
    • IRNA-PseU: Identifying RNA pseudouridine sites
    • Chen, W., et al. (2016). iRNA-PseU: identifying RNA pseudouridine sites. Mol. Ther. Nucleic Acids, 5, e332
    • (2016) Mol. Ther. Nucleic Acids , vol.5 , pp. e332
    • Chen, W.1
  • 18
    • 0027219970 scopus 로고
    • A vectorized sequence-coupling model for predicting HIV protease cleavage sites in proteins
    • Chou, K.C. (1993). A vectorized sequence-coupling model for predicting HIV protease cleavage sites in proteins. J. Biol. Chem., 268, 16938-16948
    • (1993) J. Biol. Chem , vol.268 , pp. 16938-16948
    • Chou, K.C.1
  • 19
    • 0028929902 scopus 로고
    • Does the folding type of a protein depend on its amino acid composition?
    • Chou, K.C (1995). Does the folding type of a protein depend on its amino acid composition? FEBS Lett., 363, 127-131
    • (1995) FEBS Lett , vol.363 , pp. 127-131
    • Chou, K.C.1
  • 20
    • 0029051959 scopus 로고
    • A novel approach to predicting protein structural classes in a 20-1)-D amino acid composition space
    • Chou, K.C. (1995). A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space. Proteins Struct. Funct. Genet., 21, 319-344
    • (1995) Proteins Struct. Funct. Genet , Issue.21 , pp. 319-344
    • Chou, K.C.1
  • 21
    • 0029076524 scopus 로고
    • A sequence-coupled vector-projection model for predicting the specificity of GalNAc-Transferase
    • Chou, K.C. (1995). A sequence-coupled vector-projection model for predicting the specificity of GalNAc-Transferase. Protein Sci., 4, 1365-1383
    • (1995) Protein Sci , vol.4 , pp. 1365-1383
    • Chou, K.C.1
  • 22
    • 0030049315 scopus 로고    scopus 로고
    • Review: Prediction of human immunodeficiency virus protease cleavage sites in proteins
    • Chou, K.C. (1996). Review: prediction of human immunodeficiency virus protease cleavage sites in proteins. Anal. Biochem., 233, 1-14
    • (1996) Anal. Biochem , vol.233 , pp. 1-14
    • Chou, K.C.1
  • 23
    • 0031542497 scopus 로고    scopus 로고
    • Prediction and classification of alpha-Turn types
    • Chou, K.C. (1997). Prediction and classification of alpha-Turn types. Biopolymers, 42, 837-853
    • (1997) Biopolymers , vol.42 , pp. 837-853
    • Chou, K.C.1
  • 24
    • 0033554601 scopus 로고    scopus 로고
    • A key driving force in determination of protein structural classes
    • Chou, K.C. (1999). A key driving force in determination of protein structural classes. Biochem. Biophys. Res. Commun. (BBRC), 264, 216-224
    • (1999) Biochem. Biophys. Res. Commun. (BBRC) , vol.264 , pp. 216-224
    • Chou, K.C.1
  • 25
    • 0034687538 scopus 로고    scopus 로고
    • Prediction of protein subcellular locations by incorporating quasi-sequence-order effect
    • Chou, K.C. (2000). Prediction of protein subcellular locations by incorporating quasi-sequence-order effect. Biochem. Biophys. Res. Commun. (BBRC), 278, 477-483
    • (2000) Biochem. Biophys. Res. Commun. (BBRC) , vol.278 , pp. 477-483
    • Chou, K.C.1
  • 26
    • 0034327349 scopus 로고    scopus 로고
    • Review: Prediction of tight turns and their types in proteins
    • Chou, K.C. (2000). Review: prediction of tight turns and their types in proteins. Anal. Biochem., 286, 1-16
    • (2000) Anal. Biochem , vol.286 , pp. 1-16
    • Chou, K.C.1
  • 27
    • 0035874091 scopus 로고    scopus 로고
    • Prediction of protein cellular attributes using pseudo amino acid composition. Proteins Struct. Funct. Genet
    • Erratum: ibid 2001
    • Chou, K.C. (2001). Prediction of protein cellular attributes using pseudo amino acid composition. Proteins Struct. Funct. Genet., 44, 246-255. (Erratum: ibiid., (2001). Vol. 43
    • (2001) Proteins Struct. Funct. Genet , vol.43 , pp. 246-255
    • Chou, K.C.1
  • 28
    • 0035178419 scopus 로고    scopus 로고
    • Prediction of protein signal sequences and their cleavage sites
    • Chou, K.C. (2001). Prediction of protein signal sequences and their cleavage sites. Proteins Struct. Funct. Genet., 42, 136-139
    • (2001) Proteins Struct. Funct. Genet , vol.42 , pp. 136-139
    • Chou, K.C.1
  • 29
    • 0035748859 scopus 로고    scopus 로고
    • Prediction of signal peptides using scaled window
    • Chou, K.C. (2001). Prediction of signal peptides using scaled window. Peptides, 22, 1973-1979
    • (2001) Peptides , vol.22 , pp. 1973-1979
    • Chou, K.C.1
  • 30
    • 0035030201 scopus 로고    scopus 로고
    • Using subsite coupling to predict signal peptides
    • Chou, K.C. (2001). Using subsite coupling to predict signal peptides. Protein Eng., 14, 75-79
    • (2001) Protein Eng , vol.14 , pp. 75-79
    • Chou, K.C.1
  • 31
    • 23944438427 scopus 로고    scopus 로고
    • Prediction of G-protein-coupled receptor classes
    • Chou, K.C. (2005). Prediction of G-protein-coupled receptor classes. J. Proteome Res., 4, 1413-1418
    • (2005) J. Proteome Res , vol.4 , pp. 1413-1418
    • Chou, K.C.1
  • 32
    • 12744279642 scopus 로고    scopus 로고
    • Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes
    • Chou, K.C. (2005). Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes. Bioinformatics, 21, 10-19
    • (2005) Bioinformatics , vol.21 , pp. 10-19
    • Chou, K.C.1
  • 33
    • 79951518208 scopus 로고    scopus 로고
    • Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review
    • Chou, K.C. (2011). Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review). J. Theor. Biol, 273, 236-247
    • (2011) J. Theor. Biol , vol.273 , pp. 236-247
    • Chou, K.C.1
  • 34
    • 84877758233 scopus 로고    scopus 로고
    • Some remarks on predicting multi-label attributes in molecular biosystems
    • Chou, K.C. (2013). Some remarks on predicting multi-label attributes in molecular biosystems. Mol. Biosyst., 9, 1092-1100
    • (2013) Mol. Biosyst , vol.9 , pp. 1092-1100
    • Chou, K.C.1
  • 35
    • 84926619444 scopus 로고    scopus 로고
    • Impacts of bioinformatics to medicinal chemistry
    • Chou, K.C. (2015). Impacts of bioinformatics to medicinal chemistry. Med. Chem., 11, 218-234
    • (2015) Med. Chem , vol.11 , pp. 218-234
    • Chou, K.C.1
  • 36
    • 0345305854 scopus 로고    scopus 로고
    • Prediction and classification of protein subcellular location: Sequence-order effect and pseudo amino acid composition
    • 90 Addendum, ibid
    • Chou, K.C., and Cai, Y.D. (2003). Prediction and classification of protein subcellular location: sequence-order effect and pseudo amino acid composition. J. Cell. Biochem., 91, 1250-1260. (Addendum, ibiid. (2004). 90
    • (2003) J. Cell. Biochem , vol.91 , pp. 1250-1260
    • Chou, K.C.1    Cai, Y.D.2
  • 37
    • 18344391868 scopus 로고    scopus 로고
    • Prediction of membrane protein types by incorporating amphipathic effects
    • Chou, K.C., and Cai, Y.D. (2005). Prediction of membrane protein types by incorporating amphipathic effects. J. Chem. Inform. Model., 45, 407-413
    • (2005) J. Chem. Inform. Model , vol.45 , pp. 407-413
    • Chou, K.C.1    Cai, Y.D.2
  • 38
    • 0032501152 scopus 로고    scopus 로고
    • Using discriminant function for prediction of subcellular location of prokaryotic proteins
    • Chou, K.C., and Elrod, D.W. (1998). Using discriminant function for prediction of subcellular location of prokaryotic proteins. Biochem. Biophys. Res. Commun. (BBRC), 252, 63-68
    • (1998) Biochem. Biophys. Res. Commun. (BBRC) , vol.252 , pp. 63-68
    • Chou, K.C.1    Elrod, D.W.2
  • 39
    • 0032910566 scopus 로고    scopus 로고
    • Prediction of membrane protein types and subcellular locations, Proteins: Struct
    • Chou, K.C., and Elrod, D.W. (1999). Prediction of membrane protein types and subcellular locations, Proteins: Struct. Funct., Genet., 34, 137-153
    • (1999) Funct., Genet , vol.34 , pp. 137-153
    • Chou, K.C.1    Elrod, D.W.2
  • 40
    • 0032940342 scopus 로고    scopus 로고
    • Protein subcellular location prediction
    • Chou, K.C., and Elrod, D.W. (1999). Protein subcellular location prediction. Protein Eng., 12, 107-118
    • (1999) Protein Eng , vol.12 , pp. 107-118
    • Chou, K.C.1    Elrod, D.W.2
  • 41
    • 0036767228 scopus 로고    scopus 로고
    • Bioinformatical analysis of G-proteincoupled receptors
    • Chou, K.C., and Elrod, D.W. (2002). Bioinformatical analysis of G-proteincoupled receptors. J. Proteome Res., 1, 429-433
    • (2002) J. Proteome Res , vol.1 , pp. 429-433
    • Chou, K.C.1    Elrod, D.W.2
  • 42
    • 0037783143 scopus 로고    scopus 로고
    • Prediction of enzyme family classes
    • Chou, K.C., and Elrod, D.W. (2003). Prediction of enzyme family classes. J. Proteome Res., 2, 183-190
    • (2003) J. Proteome Res , vol.2 , pp. 183-190
    • Chou, K.C.1    Elrod, D.W.2
  • 43
    • 0032054085 scopus 로고    scopus 로고
    • Prediction and classification of domain structural classes
    • Chou, K.C., et al. (1998). Prediction and classification of domain structural classes. Proteins Struct. Funct. Genet., 31, 97-103
    • (1998) Proteins Struct. Funct. Genet , vol.31 , pp. 97-103
    • Chou, K.C.1
  • 44
    • 0031928664 scopus 로고    scopus 로고
    • Domain structural class prediction
    • Chou, K.C., and Maggiora, G.M. (1998). Domain structural class prediction. Protein Eng., 11, 523-538
    • (1998) Protein Eng , vol.11 , pp. 523-538
    • Chou, K.C.1    Maggiora, G.M.2
  • 45
    • 34548606295 scopus 로고    scopus 로고
    • Review: Recent progresses in protein subcellular location prediction
    • Chou, K.C., and Shen, H.B. (2007). Review: recent progresses in protein subcellular location prediction. Anal. Biochem., 370, 1-16
    • (2007) Anal. Biochem , vol.370 , pp. 1-16
    • Chou, K.C.1    Shen, H.B.2
  • 46
    • 34247544233 scopus 로고    scopus 로고
    • Signal-CF: A subsite-coupled and windowfusing approach for predicting signal peptides
    • Chou, K.C., and Shen, H.B. (2007). Signal-CF: a subsite-coupled and windowfusing approach for predicting signal peptides. Biochem. Biophys. Res. Commun. (BBRC), 357, 633-640
    • (2007) Biochem. Biophys. Res. Commun. (BBRC) , vol.357 , pp. 633-640
    • Chou, K.C.1    Shen, H.B.2
  • 47
    • 0030027067 scopus 로고    scopus 로고
    • Predicting HIV protease cleavage sites in proteins by a discriminant function method
    • Chou, K.C., et al. (1996). Predicting HIV protease cleavage sites in proteins by a discriminant function method. Proteins: Struct. Funct. Genet., 24, 51-72
    • (1996) Proteins: Struct. Funct. Genet , vol.24 , pp. 51-72
    • Chou, K.C.1
  • 48
    • 84855641685 scopus 로고    scopus 로고
    • ILoc-Hum: Using accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites
    • Chou, K.C., et al. (2012). iLoc-Hum: using accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites. Mol. Biosyst., 8, 629-641
    • (2012) Mol. Biosyst , vol.8 , pp. 629-641
    • Chou, K.C.1
  • 49
    • 0028121983 scopus 로고
    • Predicting protein folding types by distance functions that make allowances for amino acid interactions
    • Chou, K.C., and Zhang, C.T. (1994). Predicting protein folding types by distance functions that make allowances for amino acid interactions. J. Biol. Chem., 269, 22014-22020
    • (1994) J. Biol. Chem , vol.269 , pp. 22014-22020
    • Chou, K.C.1    Zhang, C.T.2
  • 50
    • 0029157083 scopus 로고
    • Review: Prediction of protein structural classes
    • Chou, K.C., and Zhang, C.T. (1995). Review: prediction of protein structural classes. Crit. Rev. Biochem. Mol. Biol, 30, 275-349
    • (1995) Crit. Rev. Biochem. Mol. Biol , vol.30 , pp. 275-349
    • Chou, K.C.1    Zhang, C.T.2
  • 51
    • 84908072570 scopus 로고    scopus 로고
    • Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
    • Dehzangi, A., et al. (2015). Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC. J. Theor. Biol., 364, 284-294
    • (2015) J. Theor. Biol , vol.364 , pp. 284-294
    • Dehzangi, A.1
  • 52
    • 84903592187 scopus 로고    scopus 로고
    • ICTX-Type: A sequence-based predictor for identifying the types of conotoxins in targeting ion channels
    • Ding, H., et al. (2014). iCTX-Type: A sequence-based predictor for identifying the types of conotoxins in targeting ion channels. BioMed Res. Int. (BMRI), 2014, 286419
    • (2014) BioMed Res. Int. (BMRI) , vol.2014 , pp. 286419
    • Ding, H.1
  • 53
    • 84895429516 scopus 로고    scopus 로고
    • PseAAC-General: Fast building various modes of general form of Chou's pseudo-Amino acid composition for large-scale protein datasets
    • Du, P., et al. (2014). 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., 15, 3495-3506
    • (2014) Int. J. Mol. Sci , vol.15 , pp. 3495-3506
    • Du, P.1
  • 54
    • 84859932176 scopus 로고    scopus 로고
    • PseAAC-Builder: A cross-platform stand-Alone program for generating various special Chou's pseudo-Amino acid compositions
    • Du, P., et al. (2012). PseAAC-Builder: a cross-platform stand-Alone program for generating various special Chou's pseudo-Amino acid compositions. Anal. Biochem., 425, 117-119
    • (2012) Anal. Biochem , vol.425 , pp. 117-119
    • Du, P.1
  • 55
    • 0036762915 scopus 로고    scopus 로고
    • A study on the correlation of G-proteincoupled receptor types with amino acid composition
    • Elrod, D.W., and Chou, K.C. (2002). A study on the correlation of G-proteincoupled receptor types with amino acid composition. Protein Eng., 15, 713-715
    • (2002) Protein Eng , vol.15 , pp. 713-715
    • Elrod, D.W.1    Chou, K.C.2
  • 56
    • 84945265673 scopus 로고    scopus 로고
    • DSPMP: Discriminating secretory proteins of malaria parasite by hybridizing different descriptors of Chou's pseudo amino acid patterns
    • Fan, G.L., et al. (2015). DSPMP: discriminating secretory proteins of malaria parasite by hybridizing different descriptors of Chou's pseudo amino acid patterns. J. Comput. Chem., 36, 2317-2327
    • (2015) J. Comput. Chem , vol.36 , pp. 2317-2327
    • Fan, G.L.1
  • 57
    • 84928722799 scopus 로고    scopus 로고
    • IPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
    • Jia, J., et al. (2015). iPPI-Esml: an ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC. J. Theor. Biol., 377, 47-56
    • (2015) J. Theor. Biol , vol.377 , pp. 47-56
    • Jia, J.1
  • 58
    • 84981217089 scopus 로고    scopus 로고
    • Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition (iPPBS-PseAAC
    • Jia, J., et al. (2015). Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition (iPPBS-PseAAC). J. Biomol. Struct. Dyn. (JBSD). doi: 10.1080/07391102.2015.1095116
    • (2015) J. Biomol. Struct. Dyn. (JBSD
    • Jia, J.1
  • 59
    • 84973637727 scopus 로고    scopus 로고
    • ICar-PseCp: Identify carbonylation sites in proteins by Monto Carlo sampling and incorporating sequence coupled effects into general PseAAC
    • Jia, J., et al. (2016). iCar-PseCp: identify carbonylation sites in proteins by Monto Carlo sampling and incorporating sequence coupled effects into general PseAAC. Oncotarget., 7, 34558-34570
    • (2016) Oncotarget , vol.7 , pp. 34558-34570
    • Jia, J.1
  • 60
    • 85000869394 scopus 로고    scopus 로고
    • IPPBS-Opt: A sequence-based ensemble classifier for identifying protein-protein binding sites by optimizing imbalanced training datasets
    • Jia, J., et al. (2016). iPPBS-Opt: a sequence-based ensemble classifier for identifying protein-protein binding sites by optimizing imbalanced training datasets. Molecules, 21, 95
    • (2016) Molecules , vol.21 , pp. 95
    • Jia, J.1
  • 61
    • 84961384421 scopus 로고    scopus 로고
    • ISuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset
    • Jia, J., et al. (2016). iSuc-PseOpt: identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset. Anal. Biochem., 497, 48-56
    • (2016) Anal. Biochem , vol.497 , pp. 48-56
    • Jia, J.1
  • 62
    • 84957073578 scopus 로고    scopus 로고
    • Psuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
    • Jia, J., et al. (2016). pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. J. Theor. Biol., 394, 223-230
    • (2016) J. Theor. Biol , vol.394 , pp. 223-230
    • Jia, J.1
  • 63
    • 85015901894 scopus 로고    scopus 로고
    • Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou's general PseAAC
    • Ju, Z., et al. (2016). Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou's general PseAAC. J. Theor. Biol., 397, 145-150
    • (2016) J. Theor. Biol , vol.397 , pp. 145-150
    • Ju, Z.1
  • 64
    • 84955690130 scopus 로고    scopus 로고
    • IRSpot-GAEnsC: Identifying recombination spots via ensemble classifier and extending the concept of Chou's PseAAC to formulate DNA samples
    • Kabir, M., and Hayat, M. (2016). iRSpot-GAEnsC: identifying recombination spots via ensemble classifier and extending the concept of Chou's PseAAC to formulate DNA samples. Mol. Genet. GenomicsMGG, 291, 285-296
    • (2016) Mol. Genet. GenomicsMGG , vol.291 , pp. 285-296
    • Kabir, M.1    Hayat, M.2
  • 65
    • 84911416290 scopus 로고    scopus 로고
    • Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model
    • Khan, Z.U., et al. (2015). Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model. J. Theor. Biol., 365, 197-203
    • (2015) J. Theor. Biol , vol.365 , pp. 197-203
    • Khan, Z.U.1
  • 66
    • 84908628104 scopus 로고    scopus 로고
    • Prediction of beta-lactamase and its class by Chou's pseudo-Amino acid composition and support vector machine
    • Kumar, R., et al. (2015). Prediction of beta-lactamase and its class by Chou's pseudo-Amino acid composition and support vector machine. J. Theor. Biol., 365, 96-103
    • (2015) J. Theor. Biol , vol.365 , pp. 96-103
    • Kumar, R.1
  • 67
    • 84883658706 scopus 로고    scopus 로고
    • 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., and Lapointe, J. (2013). 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), 6, 435-442
    • (2013) J. Biomed. Sci. Eng. (JBiSE) , vol.6 , pp. 435-442
    • Lin, S.X.1    Lapointe, J.2
  • 68
    • 84874928986 scopus 로고    scopus 로고
    • ILoc-Animal: A multi-label learning classifier for predicting subcellular localization of animal proteins
    • Lin, W.Z., et al. (2013). iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins. Mol. BioSyst., 9, 634-644
    • (2013) Mol. BioSyst , vol.9 , pp. 634-644
    • Lin, W.Z.1
  • 69
    • 84926631457 scopus 로고    scopus 로고
    • Identification of real microRNA precursors with a pseudo structure status composition approach
    • Liu, B., et al. (2015). Identification of real microRNA precursors with a pseudo structure status composition approach. PLoS One, 10, e0121501
    • (2015) PLoS One , vol.10 , pp. e0121501
    • Liu, B.1
  • 70
    • 84942244470 scopus 로고    scopus 로고
    • Identification of microRNA precursor with the degenerate K-Tuple or Kmer strategy
    • Liu, B., et al. (2015). Identification of microRNA precursor with the degenerate K-Tuple or Kmer strategy. J. Theor. Biol., 385, 153-159
    • (2015) J. Theor. Biol , vol.385 , pp. 153-159
    • Liu, B.1
  • 71
    • 84927712367 scopus 로고    scopus 로고
    • 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., et al. (2015). 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, 31, 1307-1309
    • (2015) Bioinformatics , vol.31 , pp. 1307-1309
    • Liu, B.1
  • 72
    • 84979865452 scopus 로고    scopus 로고
    • Pse-in-One: A web server for generating various modes of pseudo components of DNA, RNA, and protein sequences
    • Liu, B., et al. (2015). Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences. Nucleic Acids Res., 43, W65-W71
    • (2015) Nucleic Acids Res , vol.43 , pp. W65-W71
    • Liu, B.1
  • 73
    • 84923361176 scopus 로고    scopus 로고
    • IDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition
    • also, Data in Brief, 2015, 4: 87-89
    • Liu, Z., et al. (2015). iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition. Anal. Biochem., 474, 69-77. (also, Data in Brief, 2015, 4: 87-89)
    • (2015) Anal. Biochem , vol.474 , pp. 69-77
    • Liu, Z.1
  • 74
    • 84954388556 scopus 로고    scopus 로고
    • IMiRNA-PseDPC: MicroRNA precursor identification with a pseudo distance-pair composition approach
    • Liu, B., et al. (2016). iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach. J. Biomol. Struct. Dyn., 34, 223-235
    • (2016) J. Biomol. Struct. Dyn. , vol.34 , pp. 223-235
    • Liu, B.1
  • 75
    • 84962263478 scopus 로고    scopus 로고
    • IEnhancer-2L: A two-layer predictor for identifying enhancers and their strength by pseudo k-Tuple nucleotide composition
    • Liu, B., et al. (2016). iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-Tuple nucleotide composition. Bioinformatics, 32, 362-389
    • (2016) Bioinformatics , vol.32 , pp. 362-389
    • Liu, B.1
  • 76
    • 84956620000 scopus 로고    scopus 로고
    • RepRNA: A web server for generating various feature vectors of RNA sequences
    • Liu, B., et al. (2016). repRNA: a web server for generating various feature vectors of RNA sequences. Mol. Genet. Genomics, 291, 473-481
    • (2016) Mol. Genet. Genomics , vol.291 , pp. 473-481
    • Liu, B.1
  • 77
    • 84983353017 scopus 로고    scopus 로고
    • IDHS-EL: Identifying DNase i hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework
    • Liu, B., et al. (2016). iDHS-EL: Identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework. Bioinformatics, doi: 10.1093/bioinformatics/btw186
    • (2016) Bioinformatics
    • Liu, B.1
  • 78
    • 84956829573 scopus 로고    scopus 로고
    • PRNAm-PC: Predicting N-methyladenosine sites in RNA sequences via physical-chemical properties
    • Liu, Z., et al. (2016). pRNAm-PC: predicting N-methyladenosine sites in RNA sequences via physical-chemical properties. Anal. Biochem., 497, 60-67
    • (2016) Anal. Biochem , vol.497 , pp. 60-67
    • Liu, Z.1
  • 79
    • 54749134161 scopus 로고    scopus 로고
    • Prediction of protein structural classes by modified Mahalanobis discriminant algorithm
    • Liu, W., and Chou, K.C. (1998). Prediction of protein structural classes by modified Mahalanobis discriminant algorithm. J. Protein Chem., 17, 209-217
    • (1998) J. Protein Chem , vol.17 , pp. 209-217
    • Liu, W.1    Chou, K.C.2
  • 80
    • 0002975203 scopus 로고
    • On the generalized distance in statistics
    • Mahalanobis, P.C. (1936). On the generalized distance in statistics. Proc. Natl. Inst. Sci. India, 2, 49-55
    • (1936) Proc. Natl. Inst. Sci. India , vol.2 , pp. 49-55
    • Mahalanobis, P.C.1
  • 81
    • 84899962803 scopus 로고    scopus 로고
    • Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction
    • Mondal, S., and Pai, P.P. (2014). Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction. J. Theor. Biol., 356, 30-35
    • (2014) J. Theor. Biol , vol.356 , pp. 30-35
    • Mondal, S.1    Pai, P.P.2
  • 82
    • 84969836704 scopus 로고    scopus 로고
    • IPhos-PseEvo: Identifying human phosphorylated proteins by incorporating evolutionary information into general PseAAC via grey system theory
    • Qiu, W.R., et al. (2016). iPhos-PseEvo: identifying human phosphorylated proteins by incorporating evolutionary information into general PseAAC via grey system theory. Mol. Inf., doi: 10.1002/minf.201600010
    • (2016) Mol. Inf
    • Qiu, W.R.1
  • 83
    • 84978664062 scopus 로고    scopus 로고
    • IPhos-PseEn: Identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
    • Qiu, W.R., et al. (2016). iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier. Oncotarget, doi: 10.18632/oncotarget.9987
    • (2016) Oncotarget
    • Qiu, W.R.1
  • 84
    • 84978634483 scopus 로고    scopus 로고
    • IHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC
    • Qiu, W.R. (2016). iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC. Oncotarget, 7, 44310-44321
    • (2016) Oncotarget , vol.7 , pp. 44310-44321
    • Qiu, W.R.1
  • 85
    • 84995428311 scopus 로고    scopus 로고
    • IPTM-mLys: Identifying multiple lysine PTM sites and their different types
    • Qiu, W.R., et al. (2016). iPTM-mLys: identifying multiple lysine PTM sites and their different types. Bioinformatics, doi: 10.1093/bioinformatics/btw380
    • (2016) Bioinformatics
    • Qiu, W.R.1
  • 86
    • 84902162941 scopus 로고    scopus 로고
    • IMethyl-PseAAC: Identification of protein methylation sites via a pseudo amino acid composition approach
    • Qiu, W.R., et al. (2014). iMethyl-PseAAC: identification of protein methylation sites via a pseudo amino acid composition approach. Biomed. Res. Int. (BMRI), 2014, 947416
    • (2014) Biomed. Res. Int. (BMRI) , vol.2014 , pp. 947416
    • Qiu, W.R.1
  • 87
    • 67650720512 scopus 로고    scopus 로고
    • Systematic study of protein sumoylation: Development of a site-specific predictor of SUMOsp 2.0
    • Ren, J., et al. (2009). Systematic study of protein sumoylation: development of a site-specific predictor of SUMOsp 2.0. Proteomics, 9, 3409-3412
    • (2009) Proteomics , vol.9 , pp. 3409-3412
    • Ren, J.1
  • 88
    • 34748902270 scopus 로고    scopus 로고
    • Signal-3L: A 3-layer approach for predicting signal peptide
    • Shen, H.B., and Chou, K.C. (2007). Signal-3L: a 3-layer approach for predicting signal peptide. Biochem. Biophys. Res. Commun. (BBRC), 363, 297-303
    • (2007) Biochem. Biophys. Res. Commun. (BBRC) , vol.363 , pp. 297-303
    • Shen, H.B.1    Chou, K.C.2
  • 89
    • 33847637338 scopus 로고    scopus 로고
    • Euk-PLoc: An ensemble classifier for large-scale eukaryotic protein subcellular location prediction
    • Shen, H.B., et al. (2007). Euk-PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction. Amino Acids, 33, 57-67
    • (2007) Amino Acids , vol.33 , pp. 57-67
    • Shen, H.B.1
  • 90
    • 84962086169 scopus 로고    scopus 로고
    • Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique
    • Tang, H., et al. (2016). Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique. Mol. Biosyst., 12, 1269-1275
    • (2016) Mol. Biosyst , vol.12 , pp. 1269-1275
    • Tang, H.1
  • 91
    • 84939476364 scopus 로고    scopus 로고
    • MultiP-SChlo: Multi-label protein subchloroplast localization prediction with Chou's pseudo amino acid composition and a novel multi-label classifier
    • Wang, X., et al. (2015). MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou's pseudo amino acid composition and a novel multi-label classifier. Bioinformatics, 31, 2639-2645
    • (2015) Bioinformatics , vol.31 , pp. 2639-2645
    • Wang, X.1
  • 92
    • 84938953300 scopus 로고    scopus 로고
    • IDrug-Target: Predicting the interactions between drug compounds and target proteins in cellular networking via the benchmark dataset optimization approach
    • Xiao, X., et al. (2015). iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via the benchmark dataset optimization approach. J. Biomol. Struct. Dyn. (JBSD), 33, 2221-2233
    • (2015) J. Biomol. Struct. Dyn. (JBSD) , vol.33 , pp. 2221-2233
    • Xiao, X.1
  • 93
    • 84875074764 scopus 로고    scopus 로고
    • IAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
    • Xiao, X., et al. (2013). iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types. Anal. Biochem, 436, 168-177
    • (2013) Anal. Biochem , vol.436 , pp. 168-177
    • Xiao, X.1
  • 94
    • 79959667141 scopus 로고    scopus 로고
    • ILoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
    • Xiao, X., et al. (2011). iLoc-Virus: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites. J. Theor. Biol., 284, 42-51
    • (2011) J. Theor. Biol , vol.284 , pp. 42-51
    • Xiao, X.1
  • 95
    • 84973610882 scopus 로고    scopus 로고
    • IROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition
    • Xiao, X., et al. (2016). iROS-gPseKNC: predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition. Oncotarget, 7, 34180-34189
    • (2016) Oncotarget , vol.7 , pp. 34180-34189
    • Xiao, X.1
  • 96
    • 39449086135 scopus 로고    scopus 로고
    • A novel method for high accuracy sumoylation site prediction from protein sequences
    • Xu, J., et al. (2008). A novel method for high accuracy sumoylation site prediction from protein sequences. BMC Bioinformatics, 9, 1
    • (2008) BMC Bioinformatics , vol.9 , pp. 1
    • Xu, J.1
  • 97
    • 84873575437 scopus 로고    scopus 로고
    • ISNO-PseAAC: Predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition
    • Xu, Y., et al. (2013). iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition. PLoS One, 8, e55844
    • (2013) PLoS One , vol.8 , pp. e55844
    • Xu, Y.1
  • 98
    • 84964501455 scopus 로고    scopus 로고
    • Prediction of sumoylation sites in proteins using linear discriminant analysis
    • Xu, Y., et al. (2016). Prediction of sumoylation sites in proteins using linear discriminant analysis. Gene, 576, 99-104
    • (2016) Gene , vol.576 , pp. 99-104
    • Xu, Y.1
  • 99
    • 84905982402 scopus 로고    scopus 로고
    • INitro-Tyr: Prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition
    • Xu, Y., et al. (2014). iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition. PLoS One, 9, e105018
    • (2014) PLoS One , vol.9 , pp. e105018
    • Xu, Y.1
  • 100
    • 33747838835 scopus 로고    scopus 로고
    • SUMOsp: A web server for sumoylation site prediction
    • Xue, Y., et al. (2006). SUMOsp: a web server for sumoylation site prediction. Nucleic Acids Res., 34, W254-W257
    • (2006) Nucleic Acids Res , vol.34 , pp. W254-W257
    • Xue, Y.1
  • 101
    • 0028181020 scopus 로고
    • An alternate-subsite-coupled model for predictingHIV protease cleavage sites in proteins
    • Zhang, C.T., and Chou, K.C. (1993). An alternate-subsite-coupled model for predictingHIV protease cleavage sites in proteins. Protein Eng., 7, 65-73
    • (1993) Protein Eng , vol.7 , pp. 65-73
    • Zhang, C.T.1    Chou, K.C.2
  • 102
    • 0031149431 scopus 로고    scopus 로고
    • Prediction of beta-Turns in proteins by 1-4 and 2-3 correlation model
    • Zhang, C.T., and Chou, K.C. (1997). Prediction of beta-Turns in proteins by 1-4 and 2-3 correlation model. Biopolymers, 41, 673-702
    • (1997) Biopolymers , vol.41 , pp. 673-702
    • Zhang, C.T.1    Chou, K.C.2
  • 103
    • 84904804885 scopus 로고    scopus 로고
    • GPS-SUMO: A tool for the prediction of sumoylation sites and SUMO-interaction motifs
    • Zhao, Q., et al. (2014). GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs. Nucleic Acids Res., gku383
    • (2014) Nucleic Acids Res., gku383
    • Zhao, Q.1
  • 104
    • 84908544636 scopus 로고    scopus 로고
    • Molecular science for drug development and biomedicine
    • Zhong, W.Z., and Zhou, S.F. (2014). Molecular science for drug development and biomedicine. Int. J. Mol. Sci., 15, 20072-20078
    • (2014) Int. J. Mol. Sci , vol.15 , pp. 20072-20078
    • Zhong, W.Z.1    Zhou, S.F.2
  • 105
    • 54749084166 scopus 로고    scopus 로고
    • An intriguing controversy over protein structural class prediction
    • Zhou, G.P. (1998). An intriguing controversy over protein structural class prediction. J. Protein Chem., 17, 729-738
    • (1998) J. Protein Chem , vol.17 , pp. 729-738
    • Zhou, G.P.1
  • 106
    • 84941791396 scopus 로고    scopus 로고
    • Current progress in structural bioinformatics of proteinbiomolecule interactions
    • Zhou, G.P. (2015). Current progress in structural bioinformatics of proteinbiomolecule interactions. Med. Chem., 11, 216-217
    • (2015) Med. Chem , vol.11 , pp. 216-217
    • Zhou, G.P.1
  • 107
    • 0035400226 scopus 로고    scopus 로고
    • Some insights into protein structural class prediction
    • Zhou, G.P., and Assa-Munt, N. (2001). Some insights into protein structural class prediction. Proteins Struct. Funct. Genet., 44, 57-59
    • (2001) Proteins Struct. Funct. Genet , vol.44 , pp. 57-59
    • Zhou, G.P.1    Assa-Munt, N.2
  • 108
    • 0037233515 scopus 로고    scopus 로고
    • Subcellular location prediction of apoptosis proteins
    • Zhou, G.P., and Doctor, K. (2003). Subcellular location prediction of apoptosis proteins. Proteins Struct. Funct. Genet, 50, 44-48
    • (2003) Proteins Struct. Funct. Genet , vol.50 , pp. 44-48
    • Zhou, G.P.1    Doctor, K.2
  • 109
    • 84946761038 scopus 로고    scopus 로고
    • Perspectives in medicinal chemistry
    • Zhou, G.P., and Zhong, W.Z. (2016). Perspectives in medicinal chemistry. Curr. Top. Med. Chem., 16, 381-382
    • (2016) Curr. Top. Med. Chem , vol.16 , pp. 381-382
    • Zhou, G.P.1    Zhong, W.Z.2


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