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Volumn 20, Issue 17, 2004, Pages 3099-3107

Comparison of probabilistic combination methods for protein secondary structure prediction

Author keywords

[No Author keywords available]

Indexed keywords

ALPHA HELIX; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; BETA SHEET; CHEMICAL MODEL; COMPARATIVE STUDY; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROBABILITY; PROBLEM SOLVING; PROTEIN SECONDARY STRUCTURE;

EID: 10244226774     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bth370     Document Type: Article
Times cited : (29)

References (30)
  • 1
    • 0034604368 scopus 로고    scopus 로고
    • HMMSTR: A hidden Markov model for local sequence-structure correlations in proteins
    • Bystroff,C., Thorsson,V. and Baker,D. (2000) HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins. J. Mol. Biol., 301, 173-190.
    • (2000) J. Mol. Biol. , vol.301 , pp. 173-190
    • Bystroff, C.1    Thorsson, V.2    Baker, D.3
  • 2
    • 3543145933 scopus 로고    scopus 로고
    • Protein secondary structure: Entropy, correlations and prediction
    • Crooks,G.E. and Brenner,S.E. (2004) Protein secondary structure: entropy, correlations and prediction. Bioinformatics, 20, 1603-1611.
    • (2004) Bioinformatics , vol.20 , pp. 1603-1611
    • Crooks, G.E.1    Brenner, S.E.2
  • 3
    • 0033106244 scopus 로고    scopus 로고
    • Evaluation and improvement of multiple sequence methods for protein secondary structure prediction
    • Cuff,J.A. and Barton,G.J. (1999) Evaluation and improvement of multiple sequence methods for protein secondary structure prediction. Proteins, 34, 508-519.
    • (1999) Proteins , vol.34 , pp. 508-519
    • Cuff, J.A.1    Barton, G.J.2
  • 4
    • 0034663597 scopus 로고    scopus 로고
    • Application of multiple sequence alignment profiles to improve protein secondary structure prediction
    • Cuff,J.A. and Barton,G.J. (2000) Application of multiple sequence alignment profiles to improve protein secondary structure prediction. Proteins, 40, 502-511.
    • (2000) Proteins , vol.40 , pp. 502-511
    • Cuff, J.A.1    Barton, G.J.2
  • 5
    • 0033026514 scopus 로고    scopus 로고
    • Improved performance in protein secondary structure prediction by inhomogeneous score combination
    • Guermeur,Y., Geourjon,C., Gallinari,P. and Deleage,D. (1999) Improved performance in protein secondary structure prediction by inhomogeneous score combination. Bioinformatics, 15, 413-421.
    • (1999) Bioinformatics , vol.15 , pp. 413-421
    • Guermeur, Y.1    Geourjon, C.2    Gallinari, P.3    Deleage, D.4
  • 6
    • 1542346418 scopus 로고    scopus 로고
    • A novel method for protein secondary structure prediction using dual-layer SVM and profiles
    • Guo,J., Chen,H., Sun,Z. and Lin,Y. (2004) A novel method for protein secondary structure prediction using dual-layer SVM and profiles. Proteins, 4, 738-743.
    • (2004) Proteins , vol.4 , pp. 738-743
    • Guo, J.1    Chen, H.2    Sun, Z.3    Lin, Y.4
  • 7
    • 0003678451 scopus 로고
    • Markov fields on finite graphs and lattices
    • Unpublished manuscript
    • Hammersley,J. and Clifford,P. (1971) Markov fields on finite graphs and lattices. Unpublished manuscript.
    • (1971)
    • Hammersley, J.1    Clifford, P.2
  • 8
    • 0035957531 scopus 로고    scopus 로고
    • A novel method of protein secondary structure prediction with high segment overlap measure: Support vector machine approach
    • Hua,S. and Sun,Z. (2001) A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach. J. Mol. Biol., 308, 397-407.
    • (2001) J. Mol. Biol. , vol.308 , pp. 397-407
    • Hua, S.1    Sun, Z.2
  • 9
    • 0033578684 scopus 로고    scopus 로고
    • Protein secondary structure prediction based on position-specific scoring matrices
    • Jones,D.T. (1999) Protein secondary structure prediction based on position-specific scoring matrices. J. Mol. Biol., 292 195-202.
    • (1999) J. Mol. Biol. , vol.292 , pp. 195-202
    • Jones, D.T.1
  • 10
    • 0020997912 scopus 로고
    • Dictionary of protein secondary structure: Pattern recognition of hydrogen-bonded and geometrical features
    • Kabsch,W. and Sander,C. (1983) Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers, 22, 2577-2637.
    • (1983) Biopolymers , vol.22 , pp. 2577-2637
    • Kabsch, W.1    Sander, C.2
  • 11
    • 0032438987 scopus 로고    scopus 로고
    • Hidden Markov models for detecting remote protein homologies
    • Karplus,K., Barrett,C. and Hughey,R. (1998) Hidden Markov models for detecting remote protein homologies. Bioinformatics, 14, 846-856.
    • (1998) Bioinformatics , vol.14 , pp. 846-856
    • Karplus, K.1    Barrett, C.2    Hughey, R.3
  • 12
    • 0141593924 scopus 로고    scopus 로고
    • Protein secondary structure prediction based on an improved support vector machines approach
    • Kim,H. and Park,H. (2003) Protein secondary structure prediction based on an improved support vector machines approach. Protein Eng., 16, 553-560.
    • (2003) Protein Eng. , vol.16 , pp. 553-560
    • Kim, H.1    Park, H.2
  • 13
    • 0029804192 scopus 로고    scopus 로고
    • Identification and application of the concepts important for accurate and reliable protein secondary structure prediction
    • King,R.D. and Sternberg,M.J. (1996) Identification and application of the concepts important for accurate and reliable protein secondary structure prediction. Protein Sci., 5, 2298-2310.
    • (1996) Protein Sci. , vol.5 , pp. 2298-2310
    • King, R.D.1    Sternberg, M.J.2
  • 14
    • 0039240492 scopus 로고    scopus 로고
    • Statistical mechanics of ensemble learning
    • Krogh,A. and Sollich,P. (1997) Statistical mechanics of ensemble learning. Phys. Rev. E., 55, 811-825.
    • (1997) Phys. Rev. E. , vol.55 , pp. 811-825
    • Krogh, A.1    Sollich, P.2
  • 18
    • 0033933636 scopus 로고    scopus 로고
    • Cascaded multiple classifiers for secondary structure prediction
    • Ouali,M. and King,R.D. (2000) Cascaded multiple classifiers for secondary structure prediction. Protein Sci., 9, 1162-1176.
    • (2000) Protein Sci. , vol.9 , pp. 1162-1176
    • Ouali, M.1    King, R.D.2
  • 19
    • 0036568279 scopus 로고    scopus 로고
    • Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles
    • Pollastri,G., Przybylski,D., Rost,B. and Baldi,P. (2002) Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles. Proteins 47, 228-235.
    • (2002) Proteins , vol.47 , pp. 228-235
    • Pollastri, G.1    Przybylski, D.2    Rost, B.3    Baldi, P.4
  • 21
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • Rabiner,L.R. (1989) A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE 77, 257-286.
    • (1989) Proceedings of the IEEE , vol.77 , pp. 257-286
    • Rabiner, L.R.1
  • 22
    • 0027291015 scopus 로고
    • Prediction of protein secondary structure at better than 70% accuracy
    • Rost,B. and Sander,C. (1993) Prediction of protein secondary structure at better than 70% accuracy. J. Mol. Biol., 232, 584-599.
    • (1993) J. Mol. Biol. , vol.232 , pp. 584-599
    • Rost, B.1    Sander, C.2
  • 23
    • 0028064006 scopus 로고
    • Redefining the goals of protein secondary structure prediction
    • Rost,B., Sander,C. and Schneider,R. (1994) Redefining the goals of protein secondary structure prediction. J. Mol. Biol., 235, 13-26.
    • (1994) J. Mol. Biol. , vol.235 , pp. 13-26
    • Rost, B.1    Sander, C.2    Schneider, R.3
  • 24
    • 0035782925 scopus 로고    scopus 로고
    • Review: Protein secondary structure prediction continues to rise
    • Rost,B. (2001) Review: protein secondary structure prediction continues to rise. J. Struct. Biol., 134, 204-218.
    • (2001) J. Struct. Biol. , vol.134 , pp. 204-218
    • Rost, B.1
  • 25
    • 0028965118 scopus 로고
    • Prediction of protein secondary structure by combining nearest-neighbor algorithms and multiple sequence alignments
    • Salamov,A.A. and Solovyev,V.V. (1995) Prediction of protein secondary structure by combining nearest-neighbor algorithms and multiple sequence alignments. J. Mol. Biol., 247, 11-15.
    • (1995) J. Mol. Biol. , vol.247 , pp. 11-15
    • Salamov, A.A.1    Solovyev, V.V.2
  • 26
    • 0033492988 scopus 로고    scopus 로고
    • Decision tree-based formation of consensus protein secondary structure prediction
    • Selbig,J., Mevissen,T. and Lengauer,T. (1999) Decision tree-based formation of consensus protein secondary structure prediction. Bioinformatics, 15, 1039-1046.
    • (1999) Bioinformatics , vol.15 , pp. 1039-1046
    • Selbig, J.1    Mevissen, T.2    Lengauer, T.3
  • 29
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert,D.H. (1992) Stacked generalization. Neural Networks, 5, 241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.H.1
  • 30
    • 0033081846 scopus 로고    scopus 로고
    • A modified definition of Sov, a segment-based measure for protein secondary structure prediction assessment
    • Zemla,A., Venclovas,C., Fidelis,K. and Rost,B. (1999) A modified definition of Sov, a segment-based measure for protein secondary structure prediction assessment. Proteins, 34, 220-223.
    • (1999) Proteins , vol.34 , pp. 220-223
    • Zemla, A.1    Venclovas, C.2    Fidelis, K.3    Rost, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.