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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v45.i3.70
pages 75-83

Detecting the Proteins Secondary Structure using Markov Models

Alexey V. Ostrovskiy
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev

ABSTRAKT

An approach to solving the problems of a general form to restore the sequence of hidden states in Markov models is proposed. The algorithm is used for determination of the secondary structure of proteins.

REFERENZEN

  1. Baldi P., Brunak S. , Bioinformatics: machine learning approach.

  2. Rost B. , Rising accuracy of protein secondary structure prediction, Protein structure determination, analysis, and modeling for drug discovery.

  3. Sergienko I.V., Gupal A.M., Ostrovskiy A.V. , Recognition of fragments genes in DNA using Markov models with hidden variables.

  4. Database of proteins of the Center for Molecular and Biomolecular Informatics.


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