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自动化与信息科学期刊
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

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自动化与信息科学期刊

DOI: 10.1615/JAutomatInfScien.v39.i8.70
pages 65-71

Protein Secondary Structure Recognition Procedure

Boris A. Beletskiy
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine
Sergey V. Vasilyev
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine
Alexandra A. Vagis
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine

ABSTRACT

Consideration is given to the results of numerical computations of protein secondary structures prediction based on Bayesian recognition procedures on nonstationary Markov chains. A use is made of new approach based on the recognition of triples of states for triples of neighboring amino acids that increases prediction accuracy in comparison with the recognition of the states of one or two amino acids.


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