메뉴 건너뛰기




Volumn 7, Issue 43, 2016, Pages 69783-69793

iOri-Human: Identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition

Author keywords

Human DNA; Origin of replication; Physicochemical properties of dinucleotides; Pseudo k tuple nucleotide composition

Indexed keywords

DINUCLEOTIDE; NUCLEOTIDE;

EID: 84994316617     PISSN: None     EISSN: 19492553     Source Type: Journal    
DOI: 10.18632/oncotarget.11975     Document Type: Article
Times cited : (177)

References (121)
  • 1
    • 84899585873 scopus 로고    scopus 로고
    • Conservative DNA Replication
    • Halazonetis TD. Conservative DNA Replication. Nat Rev Mol Cell Bio. 2014; 15:300-300.
    • (2014) Nat Rev Mol Cell Bio , vol.15 , pp. 300-300
    • Halazonetis, T.D.1
  • 2
    • 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, Ye HX, Liu Z. iROS-gPseKNC: predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition. Oncotarget. 2016; 7:34180-34189. doi: 10.18632/oncotarget.9057.
    • (2016) Oncotarget , vol.7 , pp. 34180-34189
    • Xiao, X.1    Ye, H.X.2    Liu, Z.3
  • 4
    • 0027490882 scopus 로고
    • Bacterial chromosome origins of replication
    • Marczynski GT, Shapiro L. Bacterial chromosome origins of replication. Curr Opin Genet Dev. 1993; 3:775-782.
    • (1993) Curr Opin Genet Dev , vol.3 , pp. 775-782
    • Marczynski, G.T.1    Shapiro, L.2
  • 5
    • 0035851101 scopus 로고    scopus 로고
    • Multiple phosphorylation sites of DNA polymerase a-primase cooperate to regulate the initiation of DNA replication in vitro
    • Schub O, Rohaly G, Smith RW, Schneider A, Dehde S, Dornreiter I, Nasheuer H-P. Multiple phosphorylation sites of DNA polymerase a-primase cooperate to regulate the initiation of DNA replication in vitro. J Biol Chem. 2001; 276:38076-38083.
    • (2001) J Biol Chem , vol.276 , pp. 38076-38083
    • Schub, O.1    Rohaly, G.2    Smith, R.W.3    Schneider, A.4    Dehde, S.5    Dornreiter, I.6    Nasheuer, H.-P.7
  • 6
    • 0030737725 scopus 로고    scopus 로고
    • Stable DNA replication: interplay between DNA replication, homologous recombination, and transcription
    • Kogoma T. Stable DNA replication: interplay between DNA replication, homologous recombination, and transcription. Microbiol Mol Biol Rev. 1997; 61:212-238.
    • (1997) Microbiol Mol Biol Rev , vol.61 , pp. 212-238
    • Kogoma, T.1
  • 8
    • 84861956582 scopus 로고    scopus 로고
    • Structure, replication efficiency and fragility of yeast ARS elements
    • Dhar MK, Sehgal S, Kaul S. Structure, replication efficiency and fragility of yeast ARS elements. Res Microbiol. 2012; 163:243-253.
    • (2012) Res Microbiol , vol.163 , pp. 243-253
    • Dhar, M.K.1    Sehgal, S.2    Kaul, S.3
  • 9
    • 43049124410 scopus 로고    scopus 로고
    • An ARS element inhibits DNA replication through a SIR2-dependent mechanism
    • Crampton A, Chang F, Pappas DL, Frisch RL, Weinreich M. An ARS element inhibits DNA replication through a SIR2-dependent mechanism. Mol Cell. 2008; 30:156-166.
    • (2008) Mol Cell , vol.30 , pp. 156-166
    • Crampton, A.1    Chang, F.2    Pappas, D.L.3    Frisch, R.L.4    Weinreich, M.5
  • 10
    • 77957168933 scopus 로고    scopus 로고
    • Eukaryotic DNA replication origins: many choices for appropriate answers
    • Méchali M. Eukaryotic DNA replication origins: many choices for appropriate answers. Nat Rev Mol Cell Bio. 2010; 11:728-738.
    • (2010) Nat Rev Mol Cell Bio , vol.11 , pp. 728-738
    • Méchali, M.1
  • 11
    • 84875164760 scopus 로고    scopus 로고
    • The replication fork: understanding the eukaryotic replication machinery and the challenges to genome duplication
    • Leman AR, Noguchi E. The replication fork: understanding the eukaryotic replication machinery and the challenges to genome duplication. Genes-Basel. 2013; 4:1-32.
    • (2013) Genes-Basel , vol.4 , pp. 1-32
    • Leman, A.R.1    Noguchi, E.2
  • 13
    • 0028363546 scopus 로고
    • Reconstitution of complete SV40 DNA replication with purified replication factors
    • Waga S, Bauer G, Stillman B. Reconstitution of complete SV40 DNA replication with purified replication factors. J Biol Chem. 1994; 269:10923-10934.
    • (1994) J Biol Chem , vol.269 , pp. 10923-10934
    • Waga, S.1    Bauer, G.2    Stillman, B.3
  • 14
    • 84865542810 scopus 로고    scopus 로고
    • Genome-wide localization of replication factors
    • Lubelsky Y, MacAlpine HK, MacAlpine DM. Genome-wide localization of replication factors. Methods. 2012; 57:187-195.
    • (2012) Methods , vol.57 , pp. 187-195
    • Lubelsky, Y.1    MacAlpine, H.K.2    MacAlpine, D.M.3
  • 15
    • 0001147905 scopus 로고
    • Role of leadership in the employee withdrawal process: A constructive replication
    • Ferris GR. Role of leadership in the employee withdrawal process: A constructive replication. J Appl Sport Psycho. 1985; 70:777.
    • (1985) J Appl Sport Psycho , vol.70 , pp. 777
    • Ferris, G.R.1
  • 16
    • 0023992803 scopus 로고
    • Purification and characterization of replication protein A, a cellular protein required for in vitro replication of simian virus 40 DNA
    • Wold MS, Kelly T. Purification and characterization of replication protein A, a cellular protein required for in vitro replication of simian virus 40 DNA. P Natl Acad Sci USA. 1988; 85:2523-2527.
    • (1988) P Natl Acad Sci USA , vol.85 , pp. 2523-2527
    • Wold, M.S.1    Kelly, T.2
  • 17
    • 67349272585 scopus 로고    scopus 로고
    • The impact of nucleosome positioning on the organization of replication origins in eukaryotes
    • Yin S, Deng W, Hu L, Kong X. The impact of nucleosome positioning on the organization of replication origins in eukaryotes. Biochem Biophy Res Com. 2009; 385:363-368.
    • (2009) Biochem Biophy Res Com , vol.385 , pp. 363-368
    • Yin, S.1    Deng, W.2    Hu, L.3    Kong, X.4
  • 18
  • 19
    • 0025307434 scopus 로고
    • Mutational analysis of the consensus sequence of a replication origin from yeast chromosome III
    • van Houten JV, Newlon CS. Mutational analysis of the consensus sequence of a replication origin from yeast chromosome III. Mol Cell Biol. 1990; 10:3917-3925.
    • (1990) Mol Cell Biol , vol.10 , pp. 3917-3925
    • van Houten, J.V.1    Newlon, C.S.2
  • 20
    • 84866943596 scopus 로고    scopus 로고
    • Asymmetry indices for analysis and prediction of replication origins in eukaryotic genomes
    • Marsolier-Kergoat M-C. Asymmetry indices for analysis and prediction of replication origins in eukaryotic genomes. PLoS. 2012; 7:e45050.
    • (2012) PLoS , vol.7
    • Marsolier-Kergoat, M.-C.1
  • 21
    • 84868128310 scopus 로고    scopus 로고
    • iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties
    • Chen W, Lin H, Feng PM, Ding 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
  • 23
    • 84892958175 scopus 로고    scopus 로고
    • iRSpot-TNCPseAAC: Identify recombination spots with trinucleotide composition and pseudo amino acid components
    • Qiu WR, Xiao X, Chou KC. iRSpot-TNCPseAAC: Identify recombination spots with trinucleotide composition and pseudo amino acid components. Int J Mol Sci (IJMS). 2014; 15:1746-1766.
    • (2014) Int J Mol Sci (IJMS) , vol.15 , pp. 1746-1766
    • Qiu, W.R.1    Xiao, X.2    Chou, K.C.3
  • 24
    • 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, Feng PM, Deng EZ. 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
  • 25
    • 84902186435 scopus 로고    scopus 로고
    • iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition
    • Chen W, Feng PM, Lin H. iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition. Biomed Res Int. 2014; 2014:623149.
    • (2014) Biomed Res Int , vol.2014
    • Chen, W.1    Feng, P.M.2    Lin, H.3
  • 26
    • 84896463976 scopus 로고    scopus 로고
    • iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition
    • Guo SH, Deng EZ, Xu LQ, Ding H, Lin H. 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
  • 27
    • 84941040066 scopus 로고    scopus 로고
    • iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition
    • Lin H, Deng EZ, Ding H, Chen W. 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
  • 28
    • 79951518208 scopus 로고    scopus 로고
    • Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review)
    • Chou KC. 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
  • 29
    • 84962865637 scopus 로고    scopus 로고
    • iACP: a sequence-based tool for identifying anticancer peptides
    • Chen W, Ding H, Feng P, Lin H. iACP: a sequence-based tool for identifying anticancer peptides. Oncotarget. 2016; 7:16895-16909. doi: 10.18632/oncotarget.7815.
    • (2016) Oncotarget , vol.7 , pp. 16895-16909
    • Chen, W.1    Ding, H.2    Feng, P.3    Lin, H.4
  • 30
    • 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, Liu Z, Xiao X, Liu B. iCar-PseCp: identify carbonylation sites in proteins by Monto Carlo sampling and incorporating sequence coupled effects into general PseAAC. Oncotarget. 2016; 7:34558-34570. doi: 10.18632/oncotarget.9148.
    • (2016) Oncotarget , vol.7 , pp. 34558-34570
    • Jia, J.1    Liu, Z.2    Xiao, X.3    Liu, B.4
  • 31
    • 84978634483 scopus 로고    scopus 로고
    • iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC
    • Qiu WR, Sun BQ, Xiao X, Xu ZC. iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC. Oncotarget. 2016; 7:44310-44321. doi 10.18632/oncotarget.10027.
    • (2016) Oncotarget , vol.7 , pp. 44310-44321
    • Qiu, W.R.1    Sun, B.Q.2    Xiao, X.3    Xu, Z.C.4
  • 32
    • 84978664062 scopus 로고    scopus 로고
    • iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
    • Qiu WR, Xiao X, Xu ZH. iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier. Oncotarget. 2016; 7:51270-51283. doi: 10.18632/oncotarget.9987.
    • (2016) Oncotarget , vol.7 , pp. 51270-51283
    • Qiu, W.R.1    Xiao, X.2    Xu, Z.H.3
  • 33
    • 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, Fang L, Long R, Lan X. iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition. Bioinformatics. 2016; 32:362-389.
    • (2016) Bioinformatics , vol.32 , pp. 362-389
    • Liu, B.1    Fang, L.2    Long, R.3    Lan, X.4
  • 34
    • 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, Liu Z, Xiao X, Liu B. iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset. Anal Biochem. 2016; 497:48-56.
    • (2016) Anal Biochem , vol.497 , pp. 48-56
    • Jia, J.1    Liu, Z.2    Xiao, X.3    Liu, B.4
  • 35
    • 84956829573 scopus 로고    scopus 로고
    • pRNAm-PC: Predicting N-methyladenosine sites in RNA sequences via physical-chemical properties
    • Liu Z, Xiao X, Yu DJ, Jia J. pRNAm-PC: Predicting N-methyladenosine sites in RNA sequences via physical-chemical properties. Anal Biochem. 2016; 497:60-67.
    • (2016) Anal Biochem , vol.497 , pp. 60-67
    • Liu, Z.1    Xiao, X.2    Yu, D.J.3    Jia, J.4
  • 36
    • 84957073578 scopus 로고    scopus 로고
    • pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
    • Jia J, Liu Z, Xiao X, Liu B. pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. J Theor Biol. 2016; 394:223-230.
    • (2016) J Theor Biol , vol.394 , pp. 223-230
    • Jia, J.1    Liu, Z.2    Xiao, X.3    Liu, B.4
  • 37
    • 84995377061 scopus 로고    scopus 로고
    • pSumo-CD: Predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC
    • Jia J, Zhang L, Liu Z, Xiao X. pSumo-CD: Predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC. Bioinformatics, doi: 101093/bioinformatics/btw387. 2016.
    • (2016) Bioinformatics
    • Jia, J.1    Zhang, L.2    Liu, Z.3    Xiao, X.4
  • 38
    • 84983353017 scopus 로고    scopus 로고
    • iDHS-EL: Identifying DNase I hypersensi-tivesites by fusing three different modes of pseudo nucleotide composition into an en-semble learning framework
    • Liu B, Long R. iDHS-EL: Identifying DNase I hypersensi-tivesites by fusing three different modes of pseudo nucleotide composition into an en-semble learning framework. Bioinformatics. 2016; 32:2411-2418.
    • (2016) Bioinformatics , vol.32 , pp. 2411-2418
    • Liu, B.1    Long, R.2
  • 39
    • 84995428311 scopus 로고    scopus 로고
    • iPTM-mLys: identifying multiple lysine PTM sites and their different types
    • Qiu WR, Sun BQ, Xiao X, Xu ZC. iPTM-mLys: identifying multiple lysine PTM sites and their different types. Bioinformatics, doi: 101093/bioinformatics/btw380. 2016.
    • (2016) Bioinformatics
    • Qiu, W.R.1    Sun, B.Q.2    Xiao, X.3    Xu, Z.C.4
  • 40
    • 84926619444 scopus 로고    scopus 로고
    • Impacts of bioinformatics to medicinal chemistry
    • Chou KC. Impacts of bioinformatics to medicinal chemistry. Med Chem. 2015; 11:218-234.
    • (2015) Med Chem , vol.11 , pp. 218-234
    • Chou, K.C.1
  • 41
    • 84941783146 scopus 로고    scopus 로고
    • Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences
    • Chen W, Lin H, Chou KC. Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences. Mol BioSyst. 2015; 11:2620-2634.
    • (2015) Mol BioSyst , vol.11 , pp. 2620-2634
    • Chen, W.1    Lin, H.2    Chou, K.C.3
  • 42
    • 0027219970 scopus 로고
    • A vectorized sequence-coupling model for predicting HIV protease cleavage sites in proteins
    • Chou KC. 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
  • 43
    • 0343315943 scopus 로고
    • Graph theory of enzyme kinetics: 1. Steady-state reaction system
    • Jiang SP, Liu WM, Fee CH. Graph theory of enzyme kinetics: 1. Steady-state reaction system. Scientia Sinica. 1979; 22:341-358.
    • (1979) Scientia Sinica , vol.22 , pp. 341-358
    • Jiang, S.P.1    Liu, W.M.2    Fee, C.H.3
  • 44
    • 0019021450 scopus 로고
    • Graphical rules for enzyme-catalyzed rate laws
    • Forsen S. Graphical rules for enzyme-catalyzed rate laws. Biochem J. 1980; 187:829-835.
    • (1980) Biochem J , vol.187 , pp. 829-835
    • Forsen, S.1
  • 45
    • 0021764092 scopus 로고
    • An extension of Chou's graphic rules for deriving enzyme kinetic equations to systems involving parallel reaction pathways
    • Zhou GP, Deng MH. An extension of Chou's graphic rules for deriving enzyme kinetic equations to systems involving parallel reaction pathways. Biochem J. 1984; 222:169-176.
    • (1984) Biochem J , vol.222 , pp. 169-176
    • Zhou, G.P.1    Deng, M.H.2
  • 46
    • 0024971003 scopus 로고
    • Graphic rules in steady and non-steady enzyme kinetics
    • Chou KC. Graphic rules in steady and non-steady enzyme kinetics. J Biol Chem. 1989; 264:12074-12079.
    • (1989) J Biol Chem , vol.264 , pp. 12074-12079
    • Chou, K.C.1
  • 48
    • 0027462167 scopus 로고
    • Steady-state kinetic studies with the non-nucleoside HIV-1 reverse transcriptase inhibitor U-87201E
    • Althaus IW, Diebel MR, Romero DL, AristoffPA, Tarpley WG, Reusser F. Steady-state kinetic studies with the non-nucleoside HIV-1 reverse transcriptase inhibitor U-87201E. J Biol Chem. 1993; 268:6119-6124.
    • (1993) J Biol Chem , vol.268 , pp. 6119-6124
    • Althaus, I.W.1    Diebel, M.R.2    Romero, D.L.3    Aristoff, P.A.4    Tarpley, W.G.5    Reusser, F.6
  • 50
    • 77955673069 scopus 로고    scopus 로고
    • 2D-MH: A web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids
    • Wu ZC, Xiao X. 2D-MH: A web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids. J Theor Biol. 2010; 267:29-34.
    • (2010) J Theor Biol , vol.267 , pp. 29-34
    • Wu, Z.C.1    Xiao, X.2
  • 51
    • 84859342767 scopus 로고    scopus 로고
    • Wenxiang: a web-server for drawing wenxiang diagrams
    • Lin WZ, Xiao X. Wenxiang: a web-server for drawing wenxiang diagrams. Natural Science. 2011; 3:862-865
    • (2011) Natural Science , vol.3 , pp. 862-865
    • Lin, W.Z.1    Xiao, X.2
  • 52
    • 79960604768 scopus 로고    scopus 로고
    • The disposition of the LZCC protein residues in wenxiang diagram provides new insights into the protein-protein interaction mechanism
    • Zhou GP. The disposition of the LZCC protein residues in wenxiang diagram provides new insights into the protein-protein interaction mechanism. J Theor Biol. 2011; 284:142-148.
    • (2011) J Theor Biol , vol.284 , pp. 142-148
    • Zhou, G.P.1
  • 53
    • 33646023117 scopus 로고    scopus 로고
    • An Introduction to ROC Analysis
    • Fawcett JA. An Introduction to ROC Analysis. Pattern Recogn Let. 2005; 27:861-874.
    • (2005) Pattern Recogn Let , vol.27 , pp. 861-874
    • Fawcett, J.A.1
  • 56
    • 33745634395 scopus 로고    scopus 로고
    • Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
    • Li W, Godzik A. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics. 2006; 22:1658-1659.
    • (2006) Bioinformatics , vol.22 , pp. 1658-1659
    • Li, W.1    Godzik, A.2
  • 57
    • 34548606295 scopus 로고    scopus 로고
    • Review: Recent progresses in protein subcellular location prediction
    • Chou KC, Shen HB. 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
  • 59
    • 12744279642 scopus 로고    scopus 로고
    • Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes
    • Chou KC. 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
  • 60
    • 84875576158 scopus 로고    scopus 로고
    • propy: a tool to generate various modes of Chou's PseAAC
    • Cao DS, Xu QS, Liang YZ. 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
  • 61
    • 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, 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
  • 62
    • 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 SX, 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
  • 63
    • 84908544636 scopus 로고    scopus 로고
    • Molecular science for drug development and biomedicine
    • Zhong WZ, Zhou SF. 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
  • 64
    • 84946761038 scopus 로고    scopus 로고
    • Perspectives in Medicinal Chemistry
    • Zhou GP, Zhong WZ. Perspectives in Medicinal Chemistry. Curr Top Med Chem. 2016; 16:381-382.
    • (2016) Curr Top Med Chem , vol.16 , pp. 381-382
    • Zhou, G.P.1    Zhong, W.Z.2
  • 65
    • 84955690130 scopus 로고    scopus 로고
    • iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou's PseAAC to formulate DNA samples
    • Kabir M, Hayat M. iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou's PseAAC to formulate DNA samples. Mol Genet Genomics. 2016; 291:285-296.
    • (2016) Mol Genet Genomics , vol.291 , pp. 285-296
    • Kabir, M.1    Hayat, M.2
  • 66
    • 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, 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
  • 67
    • 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, 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
  • 68
    • 84899962803 scopus 로고    scopus 로고
    • Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction
    • Mondal S, Pai PP. 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
  • 69
    • 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, Zhang W, Zhang Q, Li GZ. MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou's pseudo amino acid composition and a novel multi-label classifier. Bioinformatics. 2015; 31:2639-2645.
    • (2015) Bioinformatics , vol.31 , pp. 2639-2645
    • Wang, X.1    Zhang, W.2    Zhang, Q.3    Li, G.Z.4
  • 70
    • 84962086169 scopus 로고    scopus 로고
    • Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique
    • Tang H, Chen W, Lin H. Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique. Mol Biosyst. 2016; 12:1269-1275.
    • (2016) Mol Biosyst , vol.12 , pp. 1269-1275
    • Tang, H.1    Chen, W.2    Lin, H.3
  • 71
    • 72449203319 scopus 로고    scopus 로고
    • Pseudo amino acid composition and its applications in bioinformatics, proteomics and system biology
    • Chou KC. Pseudo amino acid composition and its applications in bioinformatics, proteomics and system biology. Curr Proteomics. 2009; 6: 262-274.
    • (2009) Curr Proteomics , vol.6 , pp. 262-274
    • Chou, K.C.1
  • 73
    • 84943593591 scopus 로고    scopus 로고
    • iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition
    • (also, Data in Brief. 2015; 490:26-33)
    • Chen W, Feng P, Ding H, Lin H. iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition. Anal Biochem (also, Data in Brief, 2015, 5: 376-378). 2015; 490:26-33.
    • (2015) Anal Biochem , vol.5 , pp. 376-378
    • Chen, W.1    Feng, P.2    Ding, H.3    Lin, H.4
  • 74
    • 84954388556 scopus 로고    scopus 로고
    • 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. 2016; 34:223-235.
    • (2016) J Biomol Struct Dyn , vol.34 , pp. 223-235
    • Liu, B.1    Fang, L.2    Liu, F.3    Wang, X.4
  • 75
    • 84900463301 scopus 로고    scopus 로고
    • PseKNC: a flexible web-server for generating pseudo K-tuple nucleotide composition
    • Chen W, Lei TY, Jin DC, Lin H. PseKNC: a flexible web-server 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
  • 76
    • 84922387565 scopus 로고    scopus 로고
    • PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions
    • Chen W, Zhang X, Brooker J, Lin H. PseKNC-General: 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
  • 77
    • 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, 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
  • 78
    • 84956620000 scopus 로고    scopus 로고
    • 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 Genomics. 2016; 291:473-481.
    • (2016) Mol Genet Genomics , vol.291 , pp. 473-481
    • Liu, B.1    Liu, F.2    Fang, L.3    Wang, X.4
  • 79
    • 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, Liu F, Wang X, Chen J, Fang L. Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences. Nucleic Acids Res. 2015; 43(W1):W65-W71.
    • (2015) Nucleic Acids Res , vol.43 , Issue.W1 , pp. W65-W71
    • Liu, B.1    Liu, F.2    Wang, X.3    Chen, J.4    Fang, L.5
  • 80
    • 77955558146 scopus 로고    scopus 로고
    • The hidden physical codes for modulating the prokaryotic transcription initiation
    • Zuo Y-C, Li Q-Z. The hidden physical codes for modulating the prokaryotic transcription initiation. Physica A. 2010; 389:4217-4223.
    • (2010) Physica A , vol.389 , pp. 4217-4223
    • Zuo, Y.-C.1    Li, Q.-Z.2
  • 81
    • 84891457420 scopus 로고    scopus 로고
    • The structural properties of DNA regulate gene expression
    • Soltani S, Askari H, Ejlali N, Aghdam R. The structural properties of DNA regulate gene expression. Mol BioSyst. 2014; 10:273-280.
    • (2014) Mol BioSyst , vol.10 , pp. 273-280
    • Soltani, S.1    Askari, H.2    Ejlali, N.3    Aghdam, R.4
  • 82
    • 33747197197 scopus 로고    scopus 로고
    • Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-nearest neighbor classifiers
    • Chou KC, Shen HB. Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-nearest neighbor classifiers. J Proteome Res. 2006; 5:1888-1897.
    • (2006) J Proteome Res , vol.5 , pp. 1888-1897
    • Chou, K.C.1    Shen, H.B.2
  • 83
    • 78649326452 scopus 로고    scopus 로고
    • AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties
    • Kandaswamy KK, Moller S, Suganthan PN, 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    Moller, S.2    Suganthan, P.N.3    Sridharan, S.4    Pugalenthi, G.5
  • 84
    • 80052855771 scopus 로고    scopus 로고
    • iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model
    • Lin WZ, Fang JA, Xiao X. iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model. PLoS ONE. 2011; 6:e24756.
    • (2011) PLoS ONE , vol.6
    • Lin, W.Z.1    Fang, J.A.2    Xiao, X.3
  • 85
    • 84858167590 scopus 로고    scopus 로고
    • RSARF: Prediction of Residue Solvent Accessibility from Protein Sequence Using Random Forest Method
    • Pugalenthi G, Kandaswamy KK, Kolatkar P. RSARF: Prediction of Residue Solvent Accessibility from Protein Sequence Using Random Forest Method. Protein Pept Lett. 2012; 19:50-56.
    • (2012) Protein Pept Lett , vol.19 , pp. 50-56
    • Pugalenthi, G.1    Kandaswamy, K.K.2    Kolatkar, P.3
  • 86
    • 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, 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
  • 87
    • 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, Liu Z, Xiao X, Liu B. 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. 2016; 34:1946-1961.
    • (2016) J Biomol Struct Dyn , vol.34 , pp. 1946-1961
    • Jia, J.1    Liu, Z.2    Xiao, X.3    Liu, B.4
  • 88
    • 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, Liu Z, Xiao X, Liu B. iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets. Molecules. 2016; 21:95.
    • (2016) Molecules , vol.21 , pp. 95
    • Jia, J.1    Liu, Z.2    Xiao, X.3    Liu, B.4
  • 89
    • 84969836704 scopus 로고    scopus 로고
    • iPhos-PseEvo: Identifying human phosphorylated proteins by incorporating evolutionary information into general PseAAC via grey system theory
    • Qiu WR, Sun BQ, Xiao X. iPhos-PseEvo: Identifying human phosphorylated proteins by incorporating evolutionary information into general PseAAC via grey system theory. Mol Inform. 2016; doi:10.1002/minf.201600010.
    • (2016) Mol Inform
    • Qiu, W.R.1    Sun, B.Q.2    Xiao, X.3
  • 90
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Machine learning. 2001; 45:5-32.
    • (2001) Machine learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 91
    • 34548301416 scopus 로고    scopus 로고
    • 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
  • 92
    • 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, Ding J, Wu LY. iSNO-PseAAC: Predict cysteine S-nitrosylation 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
  • 93
    • 0035178419 scopus 로고    scopus 로고
    • Prediction of protein signal sequences and their cleavage sites
    • Chou KC. Prediction of protein signal sequences and their cleavage sites. Proteins. 2001; 42:136-139.
    • (2001) Proteins , vol.42 , pp. 136-139
    • Chou, K.C.1
  • 94
    • 84885156363 scopus 로고    scopus 로고
    • iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins
    • Xu Y, Shao XJ, Wu LY. iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins. PeerJ. 2013; 1:e171.
    • (2013) PeerJ , vol.1
    • Xu, Y.1    Shao, X.J.2    Wu, L.Y.3
  • 95
    • 84903592187 scopus 로고    scopus 로고
    • iCTX-Type: A sequence-based predictor for identifying the types of conotoxins in targeting ion channels
    • Ding H, Deng EZ, Yuan LF, Liu L, Lin H, Chen W. iCTX-Type: A sequence-based predictor for identifying the types of conotoxins in targeting ion channels. Biomed Res Int. 2014; 2014:286419.
    • (2014) Biomed Res Int , vol.2014
    • Ding, H.1    Deng, E.Z.2    Yuan, L.F.3    Liu, L.4    Lin, H.5    Chen, W.6
  • 96
    • 84926631457 scopus 로고    scopus 로고
    • Identification of real microRNA precursors with a pseudo structure status composition approach
    • Liu B, Fang L, Liu F, Wang X. 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
  • 97
    • 84942244470 scopus 로고    scopus 로고
    • Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy
    • Liu B, Fang L, Wang S, Wang X, Li H. Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy. J Theor Biol. 2015; 385:153-159.
    • (2015) J Theor Biol , vol.385 , pp. 153-159
    • Liu, B.1    Fang, L.2    Wang, S.3    Wang, X.4    Li, H.5
  • 98
    • 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, Min JL, Lin WZ, Liu Z, Cheng X. iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via the benchmark dataset optimization approach. J Biomol Struct Dyn. 2015; 33:2221-2233.
    • (2015) J Biomol Struct Dyn , vol.33 , pp. 2221-2233
    • Xiao, X.1    Min, J.L.2    Lin, W.Z.3    Liu, Z.4    Cheng, X.5
  • 99
    • 84929577092 scopus 로고    scopus 로고
    • iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition
    • (also, Data in Brief, 2015; 474:69-77)
    • Liu Z, Xiao X, Qiu WR. 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.4 , pp. 87-89
    • Liu, Z.1    Xiao, X.2    Qiu, W.R.3
  • 100
    • 84958059324 scopus 로고    scopus 로고
    • Using deformation energy to analyze nucleosome positioning in genomes
    • Chen W, Feng P, Ding H, Lin H. Using deformation energy to analyze nucleosome positioning in genomes. Genomics. 2016; 107:69-75.
    • (2016) Genomics , vol.107 , pp. 69-75
    • Chen, W.1    Feng, P.2    Ding, H.3    Lin, H.4
  • 102
    • 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 KC, Wu ZC, Xiao X. iLoc-Hum: Using accumulation-label 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
  • 103
    • 84874928986 scopus 로고    scopus 로고
    • iLoc-Animal: A multi-label learning classifier for predicting subcellular localization of animal proteins
    • Lin WZ, Fang JA, 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
  • 104
    • 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, Wu ZC. iLoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites. J Theor Biol. 2011; 284:42-51.
    • (2011) J Theor Biol , vol.284 , pp. 42-51
    • Xiao, X.1    Wu, Z.C.2
  • 105
    • 84875074764 scopus 로고    scopus 로고
    • iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
    • Xiao X, Wang P, Lin WZ, Jia JH. 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
  • 106
    • 84877758233 scopus 로고    scopus 로고
    • Some Remarks on Predicting Multi-Label Attributes in Molecular Biosystems
    • Chou KC. 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
  • 107
    • 0029157083 scopus 로고
    • Review: Prediction of protein structural classes
    • Chou KC, Zhang CT. 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
  • 108
    • 54749084166 scopus 로고    scopus 로고
    • An intriguing controversy over protein structural class prediction
    • Zhou GP. 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
  • 109
    • 0035400226 scopus 로고    scopus 로고
    • Some insights into protein structural class prediction
    • Zhou GP, Assa-Munt N. Some insights into protein structural class prediction. Proteins. 2001; 44:57-59.
    • (2001) Proteins , vol.44 , pp. 57-59
    • Zhou, G.P.1    Assa-Munt, N.2
  • 110
    • 0038636605 scopus 로고    scopus 로고
    • Support vector machines for predicting membrane protein types by using functional domain composition
    • Cai YD, Zhou GP. 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
  • 111
    • 0037233515 scopus 로고    scopus 로고
    • Subcellular location prediction of apoptosis proteins
    • Zhou GP, Doctor K. Subcellular location prediction of apoptosis proteins. Proteins. 2003; 50:44-48.
    • (2003) Proteins , vol.50 , pp. 44-48
    • Zhou, G.P.1    Doctor, K.2
  • 112
    • 33847637338 scopus 로고    scopus 로고
    • Euk-PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction
    • Shen HB, Yang J. Euk-PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction. Amino Acids. 2007; 33:57-67.
    • (2007) Amino Acids , vol.33 , pp. 57-67
    • Shen, H.B.1    Yang, J.2
  • 113
    • 0345305854 scopus 로고    scopus 로고
    • Prediction and classification of protein subcellular location: sequence-order effect and pseudo amino acid composition
    • (Addendum, ibid 2004, 91, 1085)
    • Chou KC, Cai YD. Prediction and classification of protein subcellular location: sequence-order effect and pseudo amino acid composition. J Cell Biochem (Addendum, ibid 2004, 91, 1085). 2003; 90:1250-1260.
    • (2003) J Cell Biochem , vol.90 , pp. 1250-1260
    • Chou, K.C.1    Cai, Y.D.2
  • 114
    • 18344391868 scopus 로고    scopus 로고
    • Prediction of membrane protein types by incorporating amphipathic effects
    • Chou KC, Cai YD. Prediction of membrane protein types by incorporating amphipathic effects. J Chem Inf Model. 2005; 45:407-413.
    • (2005) J Chem Inf Model , vol.45 , pp. 407-413
    • Chou, K.C.1    Cai, Y.D.2
  • 115
    • 84945265673 scopus 로고    scopus 로고
    • DSPMP: Discriminating secretory proteins of malaria parasite by hybridizing different descriptors of Chou's pseudo amino acid patterns
    • Fan GL, Zhang XY, Liu YL, Nang Y, Wang H. DSPMP: Discriminating secretory proteins of malaria parasite by hybridizing different descriptors of Chou's pseudo amino acid patterns. J Comput Chem. 2015; 36:2317-2327.
    • (2015) J Comput Chem , vol.36 , pp. 2317-2327
    • Fan, G.L.1    Zhang, X.Y.2    Liu, Y.L.3    Nang, Y.4    Wang, H.5
  • 116
    • 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 ZU, Hayat M, Khan MA. 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
  • 117
    • 84940474993 scopus 로고    scopus 로고
    • Classification of membrane protein types using Voting Feature Interval in combination with Chou's Pseudo Amino Acid Composition
    • Ali F, Hayat M. Classification of membrane protein types using Voting Feature Interval in combination with Chou's Pseudo Amino Acid Composition. J Theor Biol. 2015; 384:78-83.
    • (2015) J Theor Biol , vol.384 , pp. 78-83
    • Ali, F.1    Hayat, M.2
  • 118
    • 84953389263 scopus 로고    scopus 로고
    • Prediction of Protein Submitochondrial Locations by Incorporating Dipeptide Composition into Chou's General Pseudo Amino Acid Composition
    • Ahmad K, Waris M, Hayat M. Prediction of Protein Submitochondrial Locations by Incorporating Dipeptide Composition into Chou's General Pseudo Amino Acid Composition. J Membr Biol. 2016; 249:293-304.
    • (2016) J Membr Biol , vol.249 , pp. 293-304
    • Ahmad, K.1    Waris, M.2    Hayat, M.3
  • 119
    • 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, Cao JZ, Gu H. Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou's general PseAAC. J Theor Biol. 2016; 397:145-150.
    • (2016) J Theor Biol , vol.397 , pp. 145-150
    • Ju, Z.1    Cao, J.Z.2    Gu, H.3
  • 120
    • 0033554601 scopus 로고    scopus 로고
    • A key driving force in determination of protein structural classes
    • Chou KC. A key driving force in determination of protein structural classes. Biochem Biophy Res Com. 1999; 264:216-224.
    • (1999) Biochem Biophy Res Com , vol.264 , pp. 216-224
    • Chou, K.C.1
  • 121
    • 52149087297 scopus 로고    scopus 로고
    • Predicting membrane protein types by the LLDA algorithm
    • Wang T, Yang J, Shen HB. Predicting membrane protein types by the LLDA algorithm. Protein Pept Lett. 2008; 15:915-921.
    • (2008) Protein Pept Lett , vol.15 , pp. 915-921
    • Wang, T.1    Yang, J.2    Shen, H.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.