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Volumn 2, Issue , 2014, Pages 1121-1129

Deep supervised and convolutional generative stochastic network for protein secondary structure prediction

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; CONVOLUTION; LEARNING SYSTEMS; MARKOV PROCESSES; NETWORK ARCHITECTURE; PROTEINS; STOCHASTIC SYSTEMS;

EID: 84919913066     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (46)

References (20)
  • 1
    • 0033369033 scopus 로고    scopus 로고
    • Exploiting the past and the future in protein secondary structure prediction
    • Baldi, Pierre, Brunak, Sren, Frasconi, Paolo, Soda, Giovanni, and Pollastri, Gianluca. Exploiting the past and the future in protein secondary structure prediction. Bioinformatics, 15(11):937-946, 1999. ISSN 1367- 4803.
    • (1999) Bioinformatics , vol.15 , Issue.11 , pp. 937-946
    • Baldi, P.1    Brunak, S.2    Frasconi, P.3    Soda, G.4    Pollastri, G.5
  • 5
    • 77952753917 scopus 로고    scopus 로고
    • Machine learning methods for protein structure prediction
    • Cheng, Jianlin, Tegge, Allison N, and Baldi, Pierre. Machine learning methods for protein structure prediction. Biomedical Engineering, IEEE Reviews in, 1:41-49, 2008. ISSN 1937-3333.
    • (2008) Biomedical Engineering, IEEE Reviews in , vol.1 , pp. 41-49
    • Cheng, J.1    Tegge, A.N.2    Baldi, P.3
  • 7
    • 0033578684 scopus 로고    scopus 로고
    • Protein secondary structure prediction based on position-specific scoring matrices
    • Jones, David T. Protein secondary structure prediction based on position-specific scoring matrices. Journal of molecular biology, 292(2): 195-202, 1999. ISSN 0022- 2836.
    • (1999) Journal of Molecular Biology , vol.292 , Issue.2 , pp. 195-202
    • Jones, D.T.1
  • 8
    • 0020997912 scopus 로고
    • Dictionary of protein secondary structure: Pattern recognition of hy- drogenbonded and geometrical features
    • Kabsch, Wolfgang and Sander, Christian. Dictionary of protein secondary structure: pattern recognition of hy- drogenbonded and geometrical features. Biopolymers, 22(12):2577-2637, 1983. ISSN 1097-0282.
    • (1983) Biopolymers , vol.22 , Issue.12 , pp. 2577-2637
    • Kabsch, W.1    Sander, C.2
  • 10
    • 0036568279 scopus 로고    scopus 로고
    • Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles
    • Pollastri, Gianluca, Przybylski, Darisz, Rost, Burkhard, and Baldi, Pierre. Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles. Proteins: Structure, Function, and Bioinformatics, 47(2):228-235, 2002. ISSN 1097-0134.
    • (2002) Proteins: Structure, Function, and Bioinformatics , vol.47 , Issue.2 , pp. 228-235
    • Pollastri, G.1    Przybylski, D.2    Rost, B.3    Baldi, P.4
  • 11
    • 84858841519 scopus 로고    scopus 로고
    • A unified multitask architecture for predicting local protein properties
    • Qi, Yanjun, Oja, Merja, Weston, Jason, and Noble, William Stafford. A unified multitask architecture for predicting local protein properties. PLoS One, 7(3): e32235, 2012. ISSN 1932-6203.
    • (2012) PLoS One , vol.7 , Issue.3 , pp. e32235
    • Qi, Y.1    Oja, M.2    Weston, J.3    Noble, W.S.4
  • 12
    • 0023803244 scopus 로고
    • Predicting the secondary structure of globular proteins using neural network models
    • Qian, Ning and Sejnowski, Terrence J. Predicting the secondary structure of globular proteins using neural network models. Journal of molecular biology, 202(4):865- 884, 1988. ISSN 0022-2836.
    • (1988) Journal of Molecular Biology , vol.202 , Issue.4 , pp. 865-884
    • Qian, N.1    Sejnowski, T.J.2
  • 13
    • 0027291015 scopus 로고
    • Prediction of protein secondary structure at better than 70 accuracy
    • Rost, Burkhard and Sander, Chris. Prediction of protein secondary structure at better than 70 accuracy. Journal of molecular biology, 232(2):584-599, 1993. ISSN 0022- 2836.
    • (1993) Journal of Molecular Biology , vol.232 , Issue.2 , pp. 584-599
    • Rost, B.1    Sander, C.2
  • 15
    • 0034047548 scopus 로고    scopus 로고
    • Bayesian segmentation of protein secondary structure
    • Schmidler, Scott C, Liu, Jun S, and Brutlag, Douglas L. Bayesian segmentation of protein secondary structure. Journal of computational biology, 7(1-2):233- 248, 2000. ISSN 1066-5277.
    • (2000) Journal of Computational Biology , vol.7 , Issue.1-2 , pp. 233-248
    • Schmidler, S.C.1    Liu, J.S.2    Brutlag, D.L.3
  • 16
    • 85145628386 scopus 로고    scopus 로고
    • Predicting protein secondary and supersec- ondary structure
    • Aluru, Srinivas (ed.), Chapman & Hall CRC Computer and Information Science Series
    • Singh, Mona. Predicting protein secondary and supersec- ondary structure. In Aluru, Srinivas (ed.), Handbook of Computational Molecular Biology. Chapman & Hall CRC Computer and Information Science Series, 2005.
    • (2005) Handbook of Computational Molecular Biology
    • Singh, M.1
  • 19
    • 0043180474 scopus 로고    scopus 로고
    • Pisces: A protein sequence culling server
    • Aug 12 (Print) 1367-4803 (Linking)
    • Wang, G. and Dunbrack, R. L. Jr. Pisces: A protein sequence culling server. Bioinformatics, 19(12): 1589-91, Aug 12 2003. ISSN 1367-4803 (Print) 1367-4803 (Linking).
    • (2003) Bioinformatics , vol.19 , Issue.12 , pp. 1589-1591
    • Wang, G.1    Dunbrack, R.L.2
  • 20
    • 80053030893 scopus 로고    scopus 로고
    • Protein 8 class secondary structure prediction using conditional neural fields
    • Wang, Zhiyong, Zhao, Feng, Peng, Jian, and Xu, Jinbo. Protein 8 class secondary structure prediction using conditional neural fields. Proteomics, 11(19):3786-3792, 2011. ISSN 1615-9861.
    • (2011) Proteomics , vol.11 , Issue.19 , pp. 3786-3792
    • Wang, Z.1    Zhao, F.2    Peng, J.3    Xu, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.