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Volumn 3174, Issue , 2004, Pages 494-500

Capturing long-term dependencies for protein secondary structure prediction

Author keywords

[No Author keywords available]

Indexed keywords

PROTEINS; RECURRENT NEURAL NETWORKS;

EID: 31944452204     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28648-6_79     Document Type: Article
Times cited : (9)

References (9)
  • 1
    • 0023555768 scopus 로고
    • Further Developments of Protein Secondary Structure Prediction Using Information Theory
    • Gibrat, J.F., Garnier, J., Robson, B.: Further Developments of Protein Secondary Structure Prediction Using Information Theory, J. Mol. Biol., vol. 198, (1987) 425-443
    • (1987) J. Mol. Biol. , vol.198 , pp. 425-443
    • Gibrat, J.F.1    Garnier, J.2    Robson, B.3
  • 2
    • 0027291015 scopus 로고
    • Prediction of Protein Secondary Structure at Better than 70% Accuracy
    • Rost, B., Sander, C.: Prediction of Protein Secondary Structure at Better than 70% Accuracy, J. Mol. Biol., vol. 232, (1993) 584-599
    • (1993) J. Mol. Biol. , vol.232 , pp. 584-599
    • Rost, B.1    Sander, C.2
  • 3
    • 0027199670 scopus 로고
    • Protein Secondary Structure Prediction Using NearestNeighbor Methods
    • Yi, T.M., Lander, E.S.: Protein Secondary Structure Prediction Using NearestNeighbor Methods, J. Mol. Biol., vol. 232, (1993) 1117-1129
    • (1993) J. Mol. Biol. , vol.232 , pp. 1117-1129
    • Yi, T.M.1    Lander, E.S.2
  • 4
    • 0035957531 scopus 로고    scopus 로고
    • A Novel Method of Protein Secondary Structure Prediction with High Segment Overlap Measure: Support Vector Machine Approach
    • Hua, S., Sun, Z.: A Novel Method of Protein Secondary Structure Prediction with High Segment Overlap Measure: Support Vector Machine Approach, J. Mol. Biol., vol. 308, (2001) 397-407
    • (2001) J. Mol. Biol. , vol.308 , pp. 397-407
    • Hua, S.1    Sun, Z.2
  • 5
    • 0036568279 scopus 로고    scopus 로고
    • Improving the Prediction of Protein Secondary Structure in Three and Eight Classes Using Recurrent
    • Pollastri, G., Przybylski, D., Rost, B., Baldi, P.: Improving the Prediction of Protein Secondary Structure in Three and Eight Classes Using Recurrent Neural Networks and Profiles, vol. 47, (2002) 228-235
    • (2002) Neural Networks and Profiles , vol.47 , pp. 228-235
    • Pollastri, G.1    Przybylski, D.2    Rost, B.3    Baldi, P.4
  • 7
    • 0030054216 scopus 로고    scopus 로고
    • Improving Protein Secondary Structure Prediction with Aligned Homologous Seqeunces
    • Di Francesco, V., Gamier, J., Munson, P.J.: Improving Protein Secondary Structure Prediction with Aligned Homologous Seqeunces, Prot.Sci., vol. 5, (1996) 106-113
    • (1996) Prot.Sci. , vol.5 , pp. 106-113
    • Di Francesco, V.1    Gamier, J.2    Munson, P.J.3
  • 8
    • 0029984070 scopus 로고    scopus 로고
    • Improving Prediction of Protein Secondary Structure Using Structural Neural Networks and Multiple Sequence Alignment
    • Riis, S.K., Krogh, A.: Improving Prediction of Protein Secondary Structure Using Structural Neural Networks and Multiple Sequence Alignment, J. Comp. Biol., vol. 3, (1996) 163-183
    • (1996) J. Comp. Biol. , vol.3 , pp. 163-183
    • Riis, S.K.1    Krogh, A.2
  • 9
    • 0031585987 scopus 로고    scopus 로고
    • Protein Secondary Structure Prediction Using Local Alignments
    • Salamov, A.A., Solovyev, V.V.: Protein Secondary Structure Prediction Using Local Alignments, J. Mol. Biol., vol. 268, (1997) 31-36
    • (1997) J. Mol. Biol. , vol.268 , pp. 31-36
    • Salamov, A.A.1    Solovyev, V.V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.