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Informatika i Ee Primeneniya [Informatics and its Applications], 2012, Volume 6, Issue 1, Pages 79–90
(Mi ia188)
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This article is cited in 4 scientific papers (total in 4 papers)
Section: Image Processing and Pattern Recognition
The motif information analysis based on the solvability criterion for the protein secondary structure recognition
K. V. Rudakovab, I. Yu. Torshinbc a Dorodnitsyn Computing Centre of the Russian Academy of Sciences
b Moscow Institute of Physics and Technology
c Center of Forecasting Systems and Recognition
Abstract:
The development of the formal description of recognition of protein secondary structure problem is presented. The key concepts of motif, informativity estimate of a motive, and the order of the motives, allowing to use the formalism for the analysis of actual precedent sets are introduced. The experiments on the solvability testing indicate a possibility of an efficient selection of the most informative motifs.
Keywords:
algebraic approach; bioinformatics; locality; solvability; feature value classification.
Citation:
K. V. Rudakov, I. Yu. Torshin, “The motif information analysis based on the solvability criterion for the protein secondary structure recognition”, Inform. Primen., 6:1 (2012), 79–90
Linking options:
https://www.mathnet.ru/eng/ia188 https://www.mathnet.ru/eng/ia/v6/i1/p79
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Abstract page: | 431 | Full-text PDF : | 140 | References: | 60 | First page: | 4 |
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