Predicting torsion angles in amino acid protein sequences based on a bayesian classification procedure on markov chains
Torsion angles formed by C α atoms of four neighboring residues are predicted using a Bayesian classification procedure on nonstationary Markov chains. The predicted sequence of torsion angles is used to construct a three-dimensional protein structure on Z 3 lattice.
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Veröffentlicht in: | Cybernetics and systems analysis 2010-09, Vol.46 (5), p.684-690 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Torsion angles formed by
C
α
atoms of four neighboring residues are predicted using a Bayesian classification procedure on nonstationary Markov chains. The predicted sequence of torsion angles is used to construct a three-dimensional protein structure on
Z
3
lattice. |
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ISSN: | 1060-0396 1573-8337 |
DOI: | 10.1007/s10559-010-9248-4 |