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Volumn 20, Issue 3, 2004, Pages 419-420

Predicting protein secondary structure by cascade-correlation neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CORRELATION ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; SEQUENCE HOMOLOGY; STRUCTURE ANALYSIS;

EID: 1342330521     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btg423     Document Type: Article
Times cited : (11)

References (11)
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  • 2
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    • Altschul,S.F. et al. (1997) Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res., 25, 3389-3402.
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  • 3
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    • 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: Struct. Funct. Genet., 34, 508-519.
    • (1999) Proteins: Struct. Funct. Genet. , vol.34 , pp. 508-519
    • Cuff, J.A.1    Barton, G.J.2
  • 4
    • 0034663597 scopus 로고    scopus 로고
    • Application of enhanced multiple sequence alignment profiles to improve protein secondary structure
    • Cuff,J.A. and Barton,G.J. (2000) Application of enhanced multiple sequence alignment profiles to improve protein secondary structure. Proteins: Struct. Funct. Genet., 40, 502-511.
    • (2000) Proteins: Struct. Funct. Genet. , vol.40 , pp. 502-511
    • Cuff, J.A.1    Barton, G.J.2
  • 6
    • 0026672260 scopus 로고
    • Prediction of structural and functional features of protein and nucleic acid sequences by artificial neural networks
    • Hirst,J.D. and Sternberg,M.J.E. (1992) Prediction of structural and functional features of protein and nucleic acid sequences by artificial neural networks. Biochemistry, 31, 7211-7218.
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    • Hirst, J.D.1    Sternberg, M.J.E.2
  • 7
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    • Protein secondary structure based on position-specific scoring matrices
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    • Jones, D.T.1
  • 8
    • 0023803244 scopus 로고
    • Predicting the secondary structure of globular proteins using neural network models
    • Qian,N. and Sejnowski,T.J. (1988) Predicting the secondary structure of globular proteins using neural network models. J. Mol. Biol., 202, 865-884.
    • (1988) J. Mol. Biol. , vol.202 , pp. 865-884
    • Qian, N.1    Sejnowski, T.J.2
  • 9
    • 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.
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  • 10
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    • The prediction of protein secondary structure with a cascade-correlation learning architecture of neural networks
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  • 11
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    • Experiments with the cascade-correlation algorithm
    • Department of Computer Science, Iowa State University
    • Yang,J. and Hanavar,G. (1991) Experiments with the cascade-correlation algorithm. Technical Report TR91-16a. Department of Computer Science, Iowa State University.
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    • Yang, J.1    Hanavar, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.