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Volumn 12, Issue 6, 2011, Pages 455-

Machine learning models in protein bioinformatics

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN;

EID: 80052199067     PISSN: 13892037     EISSN: 18755550     Source Type: Journal    
DOI: 10.2174/138920311796957621     Document Type: Editorial
Times cited : (6)

References (11)
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  • 2
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    • Proteins: Sequence to structure and function - current status
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  • 3
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    • Probabilistic models and machine learning in structural bioinformatics
    • Hamelryck, T. Probabilistic models and machine learning in structural bioinformatics. Stat. Methods Med. Res., 2009, 18 (5), 505-526.
    • (2009) Stat. Methods Med. Res , vol.18 , Issue.5 , pp. 505-526
    • Hamelryck, T.1
  • 4
    • 58149393648 scopus 로고    scopus 로고
    • Peptide bioinformatics: Peptide classification using peptide machines
    • Yang, Z.R. Peptide bioinformatics: peptide classification using peptide machines. Methods Mol. Biol., 2008, 458, 159-183.
    • (2008) Methods Mol. Biol , vol.458 , pp. 159-183
    • Yang, Z.R.1
  • 5
    • 80052202875 scopus 로고    scopus 로고
    • Critical assessment of high-throughput standalone methods for secondary structure prediction
    • 2011doi: 10.1093/bib/bbq088. [Epub ahead of print]
    • Zhang, H.; Zhang, T.; Chen, K.; Kedarisetti, KD.; Mizianty, M.J.; Bao, Q.; Stach, W.; Kurgan L. Critical assessment of high-throughput standalone methods for secondary structure prediction. Briefings in Bioinform., 2011, 2011doi: 10.1093/bib/bbq088. [Epub ahead of print]
    • (2011) Briefings In Bioinform
    • Zhang, H.1    Zhang, T.2    Chen, K.3    Kedarisetti, K.D.4    Mizianty, M.J.5    Bao, Q.6    Stach, W.7    Kurgan, L.8
  • 6
    • 77952748293 scopus 로고    scopus 로고
    • Protein secondary structure prediction
    • Pirovano, W.; Heringa, J. Protein secondary structure prediction. Methods Mol. Biol., 2010, 609, 327-348.
    • (2010) Methods Mol. Biol , vol.609 , pp. 327-348
    • Pirovano, W.1    Heringa, J.2
  • 7
    • 79251519929 scopus 로고    scopus 로고
    • Topology prediction of helical transmembrane proteins: How far have we reached?
    • Tusnády, G.E.; Simon, I. Topology prediction of helical transmembrane proteins: how far have we reached? Curr. Protein Pept. Sci., 2010, 11 (7), 550-561.
    • (2010) Curr. Protein Pept. Sci , vol.11 , Issue.7 , pp. 550-561
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  • 8
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    • Bioinformatics predictions of localization and targeting
    • Rastogi, S.; Rost, B. Bioinformatics predictions of localization and targeting. Methods Mol. Biol., 2010, 619, 285-305.
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  • 9
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    • In silico prediction of binding sites on proteins
    • Leis, S.; Schneider, S.; Zacharias, M. In silico prediction of binding sites on proteins. Curr. Med. Chem., 2010, 17 (15), 1550-1562.
    • (2010) Curr. Med. Chem , vol.17 , Issue.15 , pp. 1550-1562
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  • 10
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    • A critical comparative assessment of predictions of protein binding sites for biologically relevant organic compounds
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    • Analysis and prediction of RNA-binding residues using sequence, evolutionary conservation, and predicted secondary structure and solvent accessibility
    • Zhang, T.; Zhang, H.; Chen, K.; Ruan, J.; Shen, S.; Kurgan, L. Analysis and prediction of RNA-binding residues using sequence, evolutionary conservation, and predicted secondary structure and solvent accessibility. Curr. Protein Pept. Sci., 2010, 11 (7), 609-628.
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    • Zhang, T.1    Zhang, H.2    Chen, K.3    Ruan, J.4    Shen, S.5    Kurgan, L.6


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