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
Hauptverfasser: Sergienko, I. V., Biletskyy, B. A., Gupal, A. M.
Format: Artikel
Sprache:eng
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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.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-010-9248-4