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Volumn 16, Issue 5, 2009, Pages 552-560

Using maximum entropy model to predict protein secondary structure with single sequence

Author keywords

Maximum entropy model; Protein secondary structure; Protein structural classes; Single sequence prediction method

Indexed keywords

PROTEIN;

EID: 67649306593     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/092986609788167833     Document Type: Article
Times cited : (21)

References (77)
  • 1
    • 0033369033 scopus 로고
    • Exploiting the past and the future in protein secondary structure prediction
    • Baldi, P.; Brunak, S.; Frasconi, P.; Pollastri, G.; Soda, G. Exploiting the past and the future in protein secondary structure prediction. Bioinformatics, 1995, 15, 937-946.
    • (1995) Bioinformatics , vol.15 , pp. 937-946
    • Baldi, P.1    Brunak, S.2    Frasconi, P.3    Pollastri, G.4    Soda, G.5
  • 2
    • 0035812694 scopus 로고    scopus 로고
    • Protein Structure prediction and structural genomics
    • Baker, D.; Sali, A. Protein Structure prediction and structural genomics. Science, 2001, 294, 93-96.
    • (2001) Science , vol.294 , pp. 93-96
    • Baker, D.1    Sali, A.2
  • 3
    • 33745259286 scopus 로고    scopus 로고
    • Protein secondary structure prediction for a single-sequence using hidden semi- Markov models
    • Aydin, Z.; Altunbasak, Y.; Borodovsky, M. Protein secondary structure prediction for a single-sequence using hidden semi- Markov models. BMC Bioinformatics, 2006, 7, 178-192.
    • (2006) BMC Bioinformatics , vol.7 , pp. 178-192
    • Aydin, Z.1    Altunbasak, Y.2    Borodovsky, M.3
  • 4
    • 0036836642 scopus 로고    scopus 로고
    • Combining the GOR V algorithm with evolutionary information for protein secondary structure prediction from amino acid sequence
    • Kloczkowski, A.; Ting, K.L.; Jernigan, R.L.; Garnier, J. Combining the GOR V algorithm with evolutionary information for protein secondary structure prediction from amino acid sequence. Proteins: Struct. Funct. Genet., 2002, 49, 154-166.
    • (2002) Proteins: Struct. Funct. Genet , vol.49 , pp. 154-166
    • Kloczkowski, A.1    Ting, K.L.2    Jernigan, R.L.3    Garnier, J.4
  • 5
    • 0029996162 scopus 로고    scopus 로고
    • Incorporation of non-local interactions in protein secondary structure prediction from the amino acid sequence
    • Frishman, D.; Argos, P. Incorporation of non-local interactions in protein secondary structure prediction from the amino acid sequence. Protein Eng., 1996, 9, 133-142.
    • (1996) Protein Eng , vol.9 , pp. 133-142
    • Frishman, D.1    Argos, P.2
  • 6
    • 0030931336 scopus 로고    scopus 로고
    • Seventy-Five Percent Accuracy in Protein Secondary Structure Prediction
    • Frishman, D.; Argos, P. Seventy-Five Percent Accuracy in Protein Secondary Structure Prediction. Proteins, 1997, 27, 329-335.
    • (1997) Proteins , vol.27 , pp. 329-335
    • Frishman, D.1    Argos, P.2
  • 7
    • 0033578684 scopus 로고    scopus 로고
    • Protein Secondary structure prediction based on position-specific scoring matrices
    • Jones, D.T. Protein Secondary structure prediction based on position-specific scoring matrices. J. Mol. Biol., 1999, 292, 195-202.
    • (1999) J. Mol. Biol , vol.292 , pp. 195-202
    • Jones, D.T.1
  • 8
    • 0141738785 scopus 로고    scopus 로고
    • Secondary structure prediction with support vector machines
    • Ward, J.J.; McGuffin, L.J.; Buxton, B.F.; Jones, D.T. Secondary structure prediction with support vector machines. Bioinformatics, 2003, 19, 1650-1655.
    • (2003) Bioinformatics , vol.19 , pp. 1650-1655
    • Ward, J.J.1    McGuffin, L.J.2    Buxton, B.F.3    Jones, D.T.4
  • 9
    • 1342330521 scopus 로고    scopus 로고
    • Predicting protein secondary structure by cascade-correlation neural networks
    • Wood, M.J.; Hirst, J.D. Predicting protein secondary structure by cascade-correlation neural networks. Bioinformatics, 2004, 20,419-420.
    • (2004) Bioinformatics , vol.20 , pp. 419-420
    • Wood, M.J.1    Hirst, J.D.2
  • 10
    • 0141593924 scopus 로고    scopus 로고
    • Protein secondary structure prediction based on an improved support vector machines approach
    • Kim, H.; Park, H. Protein secondary structure prediction based on an improved support vector machines approach. Protein Eng., 2003, 16, 553-560.
    • (2003) Protein Eng , vol.16 , pp. 553-560
    • Kim, H.1    Park, H.2
  • 11
    • 0034334542 scopus 로고    scopus 로고
    • Computational methods for protein secondary structure prediction using multiple sequence alignments
    • Heringa, J. Computational methods for protein secondary structure prediction using multiple sequence alignments. Curr. Protein Pept. Sci., 2000, 1, 273-301.
    • (2000) Curr. Protein Pept. Sci , vol.1 , pp. 273-301
    • Heringa, J.1
  • 12
    • 34447095147 scopus 로고    scopus 로고
    • MemType-2L: A Web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM
    • Chou, K.C.; Shen, H.B. MemType-2L: A Web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM. Biochem. Biophys. Res. Comm., 2007, 360, 339-345.
    • (2007) Biochem. Biophys. Res. Comm , vol.360 , pp. 339-345
    • Chou, K.C.1    Shen, H.B.2
  • 13
    • 35348973511 scopus 로고    scopus 로고
    • A top-down approach for predicting enzyme functional classes and subclasses
    • Shen, H.B.; Chou, K.C. EzyPred: A top-down approach for predicting enzyme functional classes and subclasses. Biochem. Biophys. Res. Comm., 2007, 364, 53-59.
    • (2007) Biochem. Biophys. Res. Comm , vol.364 , pp. 53-59
    • Shen, H.B.1    Chou2    EzyPred, K.C.3
  • 14
    • 36448952353 scopus 로고    scopus 로고
    • Shen, H.B.; Chou, K.C. Nuc-PLoc: a new web-server for predicting protein subnuclear localization by fusing PseAA composition and PsePSSM. Protein Eng. Des. Select., 2007, 20, 561-567.
    • Shen, H.B.; Chou, K.C. Nuc-PLoc: a new web-server for predicting protein subnuclear localization by fusing PseAA composition and PsePSSM. Protein Eng. Des. Select., 2007, 20, 561-567.
  • 15
    • 34748902270 scopus 로고    scopus 로고
    • Signal-3L: A 3-layer approach for predicting signal peptides
    • Shen, H.B.; Chou, K.C. Signal-3L: A 3-layer approach for predicting signal peptides. Biochem. Biophys. Res. Comm., 2007, 363,297-303.
    • (2007) Biochem. Biophys. Res. Comm , vol.363 , pp. 297-303
    • Shen, H.B.1    Chou, K.C.2
  • 16
    • 67649346537 scopus 로고    scopus 로고
    • Solovyev, V.V.; Shindyalov, I.N. Properties and prediction of protein secondary structure. In Current Topics in Computational Molecular Edited by: Jiang, T.; Xu, Y.; Zhang, M.Q. MIT Press, 2002, 5, 365-398.
    • Solovyev, V.V.; Shindyalov, I.N. Properties and prediction of protein secondary structure. In Current Topics in Computational Molecular Edited by: Jiang, T.; Xu, Y.; Zhang, M.Q. MIT Press, 2002, 5, 365-398.
  • 17
    • 0029921122 scopus 로고    scopus 로고
    • Prediction of protein secondary structure from amino acid sequence
    • Yang, J.T. Prediction of protein secondary structure from amino acid sequence. J. Prot. Chem., 1996, 15, 185-191.
    • (1996) J. Prot. Chem , vol.15 , pp. 185-191
    • Yang, J.T.1
  • 18
    • 0032921818 scopus 로고    scopus 로고
    • Structural genomics: Keystone for a Human Proteome Project
    • Montelione, G.T.; Anderson, S. Structural genomics: keystone for a Human Proteome Project. Nat. Struct. Biol., 1999, 6, 11-12.
    • (1999) Nat. Struct. Biol , vol.6 , pp. 11-12
    • Montelione, G.T.1    Anderson, S.2
  • 19
    • 0015987426 scopus 로고
    • Prediction of protein conformation
    • Chou, P.Y.; Fasman, G.D. Prediction of protein conformation. Biochemistry, 1974, 13, 222-245.
    • (1974) Biochemistry , vol.13 , pp. 222-245
    • Chou, P.Y.1    Fasman, G.D.2
  • 20
    • 0035782925 scopus 로고    scopus 로고
    • Review: Protein secondary structure prediction continues to rise
    • Rost, B. Review: protein secondary structure prediction continues to rise. J. Struct Biol., 2001, 134, 204-218.
    • (2001) J. Struct Biol , vol.134 , pp. 204-218
    • Rost, B.1
  • 21
    • 85142205801 scopus 로고    scopus 로고
    • Pollastri, G.; McLysaght, A. Porter: a new, accurate server for protein secondary structure prediction. Bioinformatics, 2005, 21,1719-1720.
    • Pollastri, G.; McLysaght, A. Porter: a new, accurate server for protein secondary structure prediction. Bioinformatics, 2005, 21,1719-1720.
  • 22
    • 33750608020 scopus 로고    scopus 로고
    • Improved performance in protein secondary structure prediction by combining multiple predictions
    • Huang, D.S.; Huang, X. Improved performance in protein secondary structure prediction by combining multiple predictions. ProteinPept. Lett., 2006, 13, 985-991.
    • (2006) ProteinPept. Lett , vol.13 , pp. 985-991
    • Huang, D.S.1    Huang, X.2
  • 23
    • 33747586510 scopus 로고    scopus 로고
    • Improving the accuracy of protein secondary structure prediction using structural alignment
    • Montgomerie, S.; Sundararaj, S.; Gallin, W.J.; Wishart, D.S. Improving the accuracy of protein secondary structure prediction using structural alignment. BMC Bioinformatics, 2006, 7, 301.
    • (2006) BMC Bioinformatics , vol.7 , pp. 301
    • Montgomerie, S.1    Sundararaj, S.2    Gallin, W.J.3    Wishart, D.S.4
  • 24
    • 0035995959 scopus 로고    scopus 로고
    • Support vector machines for the classification and prediction of p-turn types
    • Cai, Y.D.; Liu, X.J.; Xu, X.B.; Chou, K.C. Support vector machines for the classification and prediction of p-turn types. J. Pept. Sci., 2002, 8(7), 297-301
    • (2002) J. Pept. Sci , vol.8 , Issue.7 , pp. 297-301
    • Cai, Y.D.1    Liu, X.J.2    Xu, X.B.3    Chou, K.C.4
  • 25
    • 8844252295 scopus 로고    scopus 로고
    • A neural network method for prediction of 6-turn types in proteins using evolutionary information
    • Kaur, H.; Raghava, G.P. A neural network method for prediction of 6-turn types in proteins using evolutionary information. Bioinformatics, 2004, 20(16), 2751-2758
    • (2004) Bioinformatics , vol.20 , Issue.16 , pp. 2751-2758
    • Kaur, H.1    Raghava, G.P.2
  • 26
    • 0034327349 scopus 로고    scopus 로고
    • Prediction of tight turns and their types in proteins
    • Chou, K.C. Prediction of tight turns and their types in proteins. Anal. Biochem., 2000, 286, 1-16.
    • (2000) Anal. Biochem , vol.286 , pp. 1-16
    • Chou, K.C.1
  • 27
    • 0017309766 scopus 로고
    • Structural patterns in globular proteins
    • Levitt, M.; Chothia, C. Structural patterns in globular proteins. Nature, 1976, 261, 552-557.
    • (1976) Nature , vol.261 , pp. 552-557
    • Levitt, M.1    Chothia, C.2
  • 28
    • 33344465109 scopus 로고    scopus 로고
    • Amino acid propensities for secondary structures are influenced by the protein structural class
    • Costantini, S.; Colonna, G.; Angelo, M. Facchiano. Amino acid propensities for secondary structures are influenced by the protein structural class. Biochem. Biophys. Res. Commun., 2006, 342, 441451.
    • (2006) Biochem. Biophys. Res. Commun , vol.342 , pp. 441451
    • Costantini, S.1    Colonna, G.2    Angelo3    Facchiano, M.4
  • 29
    • 18344391868 scopus 로고    scopus 로고
    • Prediction of membrane protein types by incorporating amphipathic effects
    • Chou, K.C.; Cai, Y.D. Prediction of membrane protein types by incorporating amphipathic effects. J. Chem. Inform. Model., 2005,45, 407-413.
    • (2005) J. Chem. Inform. Model , vol.45 , pp. 407-413
    • Chou, K.C.1    Cai, Y.D.2
  • 30
    • 0035874091 scopus 로고    scopus 로고
    • Chou, K.C. Prediction of protein cellular attributes using pseudo amino acid composition Proteins: Struct. Funct. Genet. (Erratum: ibid., 2001, 44, 60), 2001, 43, 246-255.
    • 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.
  • 31
    • 85142162128 scopus 로고    scopus 로고
    • Chou, K.C. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes. Bioinformatics, 2005, 21 , 10-19. protein & peptide Letters, 2009, 10, No. 5 559
    • Chou, K.C. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes. Bioinformatics, 2005, 21 , 10-19. protein & peptide Letters, 2009, vol. 10, No. 5 559
  • 32
    • 33748287103 scopus 로고    scopus 로고
    • Predicting Proteinstructural class with pseudo amino acid composition and supportvector machine fusion network
    • Chen, C.; Zhou, X.; Tian, Y.; Zou, X.; Cai, P. Predicting Proteinstructural class with pseudo amino acid composition and supportvector machine fusion network. Anal. Biochem., 2006, 357, 116-21.
    • (2006) Anal. Biochem , vol.357 , pp. 116-121
    • Chen, C.1    Zhou, X.2    Tian, Y.3    Zou, X.4    Cai, P.5
  • 33
    • 39449105071 scopus 로고    scopus 로고
    • Cell-PLoc: A package of web-servers forpredicting subcellular localization of proteins in various organisms
    • Chou, K.C.; Shen, H.B. Cell-PLoc: A package of web-servers forpredicting subcellular localization of proteins in various organisms Nat. Prot., 2008, 3, 153-162.
    • (2008) Nat. Prot , vol.3 , pp. 153-162
    • Chou, K.C.1    Shen, H.B.2
  • 34
    • 11844306688 scopus 로고    scopus 로고
    • Using GO-PseAA predictor to identify membrane proteins and their types
    • Chou, K.C.; Cai, Y.D. Using GO-PseAA predictor to identify membrane proteins and their types. Biochem. Biophys. Res. Comm.,2005, 327, 845-847.
    • (2005) Biochem. Biophys. Res. Comm , vol.327 , pp. 845-847
    • Chou, K.C.1    Cai, Y.D.2
  • 35
    • 20444389765 scopus 로고    scopus 로고
    • Prediction of protein subcellular location using a combined feature of sequence
    • Gao, Q.B.; Wang, Z.Z.; Yanm, C.; Du, Y.H. Prediction of protein subcellular location using a combined feature of sequence. FEBS Lett., 2005, 579, 3444-8.
    • (2005) FEBS Lett , vol.579 , pp. 3444-3448
    • Gao, Q.B.1    Wang, Z.Z.2    Yanm, C.3    Du, Y.H.4
  • 36
    • 34249318001 scopus 로고    scopus 로고
    • Chou, K.C.; Shen, H.B. Euk-mPLoc: a fusion classifier for large- scale eukaryotic protein subcellular location prediction by incorporating multiple sites. J. Proteo. Res., 2007, 6, 1728-1734.
    • Chou, K.C.; Shen, H.B. Euk-mPLoc: a fusion classifier for large- scale eukaryotic protein subcellular location prediction by incorporating multiple sites. J. Proteo. Res., 2007, 6, 1728-1734.
  • 37
    • 33749596030 scopus 로고    scopus 로고
    • Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification
    • Mondal, S.; Bhavna, R.; Mohan Babu, R.; Ramakumar, S. Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification. J. Theor. Biol.,2006, 243, 252-60.
    • (2006) J. Theor. Biol , vol.243 , pp. 252-260
    • Mondal, S.1    Bhavna, R.2    Mohan Babu, R.3    Ramakumar, S.4
  • 38
    • 6344231856 scopus 로고    scopus 로고
    • SLLE for predicting membrane protein types
    • Wang, M.; Yang, J.; Xu, Z.J.; Chou, K.C. 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    Chou, K.C.4
  • 39
    • 33748449804 scopus 로고    scopus 로고
    • Using stacked generalization to predict membrane protein types based on pseudo amino acid composition
    • Wang, S.Q.; Yang, J.; Chou, K.C. Using stacked generalization to predict membrane protein types based on pseudo amino acid composition. J. Theor. Biol., 2006, 242, 941-946.
    • (2006) J. Theor. Biol , vol.242 , pp. 941-946
    • Wang, S.Q.1    Yang, J.2    Chou, K.C.3
  • 40
    • 33748796057 scopus 로고    scopus 로고
    • Prediction of protein subcel- lular location using hydrophobic patterns of amino acid sequence
    • Zhang, T.L.; Ding, Y.S.; Chou, K.C. Prediction of protein subcel- lular location using hydrophobic patterns of amino acid sequence. Comput. Biol. Chem., 2006, 30, 367-371.
    • (2006) Comput. Biol. Chem , vol.30 , pp. 367-371
    • Zhang, T.L.1    Ding, Y.S.2    Chou, K.C.3
  • 41
    • 0037195776 scopus 로고    scopus 로고
    • Using functional domain composition and support vector machines for prediction of protein subcellular location
    • Chou, K.C.; Cai, Y.D. Using functional domain composition and support vector machines for prediction of protein subcellular location. J. Biol. Chem., 2002, 277, 45765-45769.
    • (2002) J. Biol. Chem , vol.277 , pp. 45765-45769
    • Chou, K.C.1    Cai, Y.D.2
  • 42
    • 3843117638 scopus 로고    scopus 로고
    • Predicting protein structural class by functional domain composition
    • Chou, K.C.; Cai, Y.D. Predicting protein structural class by functional domain composition. Biochem. Biophys. Res. Commun.,2004, 321, 1007-1009.
    • (2004) Biochem. Biophys. Res. Commun , vol.321 , pp. 1007-1009
    • Chou, K.C.1    Cai, Y.D.2
  • 43
    • 7244251950 scopus 로고    scopus 로고
    • Predicting enzyme family class in a hybridization space
    • Chou, K.C.; Cai, Y.D. Predicting enzyme family class in a hybridization space. Protein Sci., 2004, 13, 2857-2863.
    • (2004) Protein Sci , vol.13 , pp. 2857-2863
    • Chou, K.C.1    Cai, Y.D.2
  • 44
    • 34247094836 scopus 로고    scopus 로고
    • Prediction of protein structural class for the twilight zone sequences
    • Kurgan, L.A.; Chen, K. Prediction of protein structural class for the twilight zone sequences. Biochem. Biophys. Res. Commun., 2007,357(2), 453-460.
    • (2007) Biochem. Biophys. Res. Commun , vol.357 , Issue.2 , pp. 453-460
    • Kurgan, L.A.1    Chen, K.2
  • 45
    • 33747182577 scopus 로고    scopus 로고
    • Classifier ensembles for protein structural class prediction with varying homology
    • Kedarisetti, K.; Kurgan, L.A.; Dick, S. Classifier ensembles for protein structural class prediction with varying homology. Bio chem. Biophys. Res. Commun., 2006, 348(3), 981-988.
    • (2006) Bio chem. Biophys. Res. Commun , vol.348 , Issue.3 , pp. 981-988
    • Kedarisetti, K.1    Kurgan, L.A.2    Dick, S.3
  • 46
    • 48649105466 scopus 로고    scopus 로고
    • Subcellular localization prediction of apoptosis proteins with immune genetic algorithm-based ensemble classifier
    • Ding, Y.S.; Zhang, T.L. Subcellular localization prediction of apoptosis proteins with immune genetic algorithm-based ensemble classifier. Patt. Recogn. Lett., 2008, 29(13), 1887-1892.
    • (2008) Patt. Recogn. Lett , vol.29 , Issue.13 , pp. 1887-1892
    • Ding, Y.S.1    Zhang, T.L.2
  • 47
    • 36348994911 scopus 로고    scopus 로고
    • Prediction protein structural classes with pseudo amino acid composition: Approximate entropy and hydrophobicity pattern
    • Zhang, T.L.; Ding, Y.S.; Chou, K.C. Prediction protein structural classes with pseudo amino acid composition: Approximate entropy and hydrophobicity pattern. J. Theor. Biol., 2008, 250(1), 186-193.
    • (2008) J. Theor. Biol , vol.250 , Issue.1 , pp. 186-193
    • Zhang, T.L.1    Ding, Y.S.2    Chou, K.C.3
  • 48
    • 36448935288 scopus 로고    scopus 로고
    • Using pseudo amino acid composition and binary-tree support vector machines to predict protein structural classes
    • Zhang, T.L.; Ding, Y.S. Using pseudo amino acid composition and binary-tree support vector machines to predict protein structural classes. Amino Acids, 2007, 33, 623-629.
    • (2007) Amino Acids , vol.33 , pp. 623-629
    • Zhang, T.L.1    Ding, Y.S.2
  • 49
    • 34548697717 scopus 로고    scopus 로고
    • Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network
    • Ding, Y.S.; Zhang, T.L.; Chou, K.C. Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network. Protein Pept. Lett., 2007, 14(8), 811-815.
    • (2007) Protein Pept. Lett , vol.14 , Issue.8 , pp. 811-815
    • Ding, Y.S.1    Zhang, T.L.2    Chou, K.C.3
  • 50
    • 29244482784 scopus 로고    scopus 로고
    • Predicting membrane protein type by functional domain composition and pseudo-amino acid composition
    • Cai, Y.D.; Chou, K.C. Predicting membrane protein type by functional domain composition and pseudo-amino acid composition. J.Theor. Biol., 2006, 238, 395-400.
    • (2006) J.Theor. Biol , vol.238 , pp. 395-400
    • Cai, Y.D.1    Chou, K.C.2
  • 51
    • 28844434867 scopus 로고    scopus 로고
    • Prediction of protease types in a hybridization space
    • Chou, K.C.; Cai, Y.D. Prediction of protease types in a hybridization space. Biochem. Biophys. Res. Comm. 2005, 339, 1015-1020.
    • (2005) Biochem. Biophys. Res. Comm , vol.339 , pp. 1015-1020
    • Chou, K.C.1    Cai, Y.D.2
  • 52
    • 26844545834 scopus 로고    scopus 로고
    • Review: Progress in protein structural class prediction and its impact to bioinformatics and proteomics
    • Chou, K.C. Review: Progress in protein structural class prediction and its impact to bioinformatics and proteomics. Curr. Protein Pept. Sci., 2005, 6, 423-436.
    • (2005) Curr. Protein Pept. Sci , vol.6 , pp. 423-436
    • Chou, K.C.1
  • 53
    • 0002652285 scopus 로고    scopus 로고
    • A maximum entropy approach to natural language processing
    • Berger, A.L.; Pietra, S.A.D.; Pietra, V.J.D. A maximum entropy approach to natural language processing. Comput. Linguist., 1996, 22(1), 39-71
    • (1996) Comput. Linguist , vol.22 , Issue.1 , pp. 39-71
    • Berger, A.L.1    Pietra, S.A.D.2    Pietra, V.J.D.3
  • 54
    • 0004157677 scopus 로고    scopus 로고
    • Simple introduction to maximum entropy models for natural language processing
    • Tech. Report 97-08, Inst. Res. Cognit. Sci, University of Pennsylvania
    • Ratnaparkhi, A. Simple introduction to maximum entropy models for natural language processing. Tech. Report 97-08, Inst. Res. Cognit. Sci., University of Pennsylvania, 1997, 5, 16-21.
    • (1997) , vol.5 , pp. 16-21
    • Ratnaparkhi, A.1
  • 55
    • 0001573124 scopus 로고
    • Generalized iterative scaling for log-linear models
    • Darroch, J.; Ratcliff, D. Generalized iterative scaling for log-linear models. Ann. Stat., 1972, 43, 1470-1480.
    • (1972) Ann. Stat , vol.43 , pp. 1470-1480
    • Darroch, J.1    Ratcliff, D.2
  • 57
    • 0035984387 scopus 로고    scopus 로고
    • Artificial neural network method for predicting protein secondary structure content
    • Cai, Y.D.; Liu, X.J.; Xu, X.B.; Chou, K.C. Artificial neural network method for predicting protein secondary structure content. Comput. Chem., 2002, 26, 347-350.
    • (2002) Comput. Chem , vol.26 , pp. 347-350
    • Cai, Y.D.1    Liu, X.J.2    Xu, X.B.3    Chou, K.C.4
  • 58
    • 0032781417 scopus 로고    scopus 로고
    • Chou, K.C. Using Pair-coupled amino acid composition to predict protein secondary structure content. J. Protein Chem., 1999, 18, 473-480.
    • Chou, K.C. Using Pair-coupled amino acid composition to predict protein secondary structure content. J. Protein Chem., 1999, 18, 473-480.
  • 59
    • 0034285487 scopus 로고    scopus 로고
    • Prediction of protein structural classes and subcellular locations
    • Chou, K.C. Prediction of protein structural classes and subcellular locations. Curr. Protein Pept. Sci., 2000, 1, 171-208.
    • (2000) Curr. Protein Pept. Sci , vol.1 , pp. 171-208
    • Chou, K.C.1
  • 60
    • 33947393616 scopus 로고    scopus 로고
    • Improved Chou-Fasman method for protein secondary structure prediction
    • Chen, H.; Gu, F.; Huang, Z.G. Improved Chou-Fasman method for protein secondary structure prediction. BMC Bioinformatics, 2006, 7, S14-S20
    • (2006) BMC Bioinformatics , vol.7
    • Chen, H.1    Gu, F.2    Huang, Z.G.3
  • 61
    • 0032892577 scopus 로고    scopus 로고
    • Kawashima, S.; Ogata, H.; Kanehisa, M. AAindex: Amino acid index database. Nucleic Acids Res., 1999, 27, 368-369.
    • Kawashima, S.; Ogata, H.; Kanehisa, M. AAindex: Amino acid index database. Nucleic Acids Res., 1999, 27, 368-369.
  • 62
    • 0142153209 scopus 로고    scopus 로고
    • Prediction of protein secondary structure with a reliability score estimated by local sequence clustering
    • Jiang, F. Prediction of protein secondary structure with a reliability score estimated by local sequence clustering. Protein Eng., 2003, 16, 651-657.
    • (2003) Protein Eng , vol.16 , pp. 651-657
    • Jiang, F.1
  • 63
    • 0033106244 scopus 로고    scopus 로고
    • Evaluation and improvement of multiple sequence methods for protein secondary structure prediction
    • Cuff, J.A.; Barton, G.J. Evaluation and improvement of multiple sequence methods for protein secondary structure prediction. Proteins, 1999, 34, 508-519. ]
    • (1999) Proteins , vol.34 , pp. 508-519
    • Cuff, J.A.1    Barton, G.J.2
  • 64
    • 0025334980 scopus 로고
    • Improvements in protein secondary structure prediction by an enhanced neural network
    • Kneller, D.G.; Cohen, F.E.; Langridge, R. Improvements in protein secondary structure prediction by an enhanced neural network. J.Mol. Biol., 1990, 214, 171-182.
    • (1990) J.Mol. Biol , vol.214 , pp. 171-182
    • Kneller, D.G.1    Cohen, F.E.2    Langridge, R.3
  • 65
    • 0029051959 scopus 로고
    • A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space
    • Chou, K.C. A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space. Proteins, 1995, 21, 319-344.
    • (1995) Proteins , vol.21 , pp. 319-344
    • Chou, K.C.1
  • 66
    • 0043123211 scopus 로고    scopus 로고
    • Koh, I.Y.; Eyrich, V.A.; Marti-Renom, M.A.; Przybylski, D.; Mad- husudhan, M.S.; Eswar, N.; Grana, O.; Pazos, F.; Valencia, A.; Sali, A.; Rost, B. EVA: evaluation of protein structure prediction servers. Nucleic Acids Res., 2003, 31, 3311-3315.
    • Koh, I.Y.; Eyrich, V.A.; Marti-Renom, M.A.; Przybylski, D.; Mad- husudhan, M.S.; Eswar, N.; Grana, O.; Pazos, F.; Valencia, A.; Sali, A.; Rost, B. EVA: evaluation of protein structure prediction servers. Nucleic Acids Res., 2003, 31, 3311-3315.
  • 67
    • 0020997912 scopus 로고
    • Dictionary of protein secondary structure: Pattern recognition of hydrogen bonded and geometrical features
    • Kabsch, W.; Sander, C. Dictionary of protein secondary structure: pattern recognition of hydrogen bonded and geometrical features. Biopolymers, 1983, 22, 2577-2637.
    • (1983) Biopolymers , vol.22 , pp. 2577-2637
    • Kabsch, W.1    Sander, C.2
  • 68
    • 0029157083 scopus 로고
    • 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
  • 69
    • 34548606295 scopus 로고    scopus 로고
    • Recent progress in protein subcellular location prediction
    • Chou, K.C.; Shen, H.B. Recent progress in protein subcellular location prediction. Analy. Biochem., 2007, 370, 1-16.
    • (2007) Analy. Biochem , vol.370 , pp. 1-16
    • Chou, K.C.1    Shen, H.B.2
  • 70
    • 33747880465 scopus 로고    scopus 로고
    • Ensemble classifier for protein fold pattern recognition
    • Shen, H.B.; Chou, K.C. Ensemble classifier for protein fold pattern recognition. Bioinformatics, 2006, 22, 1717-1722.
    • (2006) Bioinformatics , vol.22 , pp. 1717-1722
    • Shen, H.B.1    Chou, K.C.2
  • 71
    • 33748150984 scopus 로고    scopus 로고
    • Fuzzy KNN for predicting membrane protein types from pseudo amino acid composition
    • Shen, H.B.; Yang, J.; Chou, K.C. Fuzzy KNN for predicting membrane protein types from pseudo amino acid composition. J. Theor.Biol., 2006, 240, 9-13.
    • (2006) J. Theor.Biol , vol.240 , pp. 9-13
    • Shen, H.B.1    Yang, J.2    Chou, K.C.3
  • 72
    • 0028978517 scopus 로고
    • Predicting protein structural classes from amino acid composition: Application of fuzzy clustering
    • Zhang, C.T.; Chou, K.C.; Maggiora, G.M. Predicting protein structural classes from amino acid composition: application of fuzzy clustering. Protein Eng., 1995, 8, 425-435.
    • (1995) Protein Eng , vol.8 , pp. 425-435
    • Zhang, C.T.1    Chou, K.C.2    Maggiora, G.M.3
  • 73
    • 45649083292 scopus 로고    scopus 로고
    • Predicting the cofactors of oxidoreduc- tases based on amino acid composition distribution and Chou's am- phiphilic pseudo amino acid composition
    • Zhang, G.Y.; Fang, B.S. Predicting the cofactors of oxidoreduc- tases based on amino acid composition distribution and Chou's am- phiphilic 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
  • 74
    • 42749090472 scopus 로고    scopus 로고
    • 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
  • 75
    • 54249139729 scopus 로고    scopus 로고
    • Predicting lipase types by improved Chou's pseudo-amino acid composition
    • Zhang, G.Y.; Li, H.C.; 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    Fang, B.S.3
  • 76
    • 0031800191 scopus 로고    scopus 로고
    • Protein secondary structure prediction in different structural classes
    • Gromiha, M.M.; Selvaraj, S. Protein secondary structure prediction in different structural classes. Protein Eng., 1998, 11, 249-251.
    • (1998) Protein Eng , vol.11 , pp. 249-251
    • Gromiha, M.M.1    Selvaraj, S.2
  • 77
    • 33750080050 scopus 로고    scopus 로고
    • Secondary structure prediction of all-helical proteins using hidden markov support vector machines
    • 1003
    • Gassend, B.; O'Donnell, C.; Thies, W.; Lee, A.; van Dijk, M.; Devadas, S. Secondary structure prediction of all-helical proteins using hidden markov support vector machines. MIT CSAIL Tech. Report, 1003, 2005, 10, 2-13.
    • (2005) MIT CSAIL Tech. Report , vol.10 , pp. 2-13
    • Gassend, B.1    O'Donnell, C.2    Thies, W.3    Lee, A.4    van Dijk, M.5    Devadas, S.6


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