Abstract
Protein secondary structure prediction problem has been known for almost a quarter of century. The idea to create a tool to help molecular biologists was the main reason to choose the new rule-based method—Logical Analysis of Data with its high accuracy in various field of life. The LAD produced overall percentage accuracy of correctly predicted residues Q 3 = 71,6%, and segment overlap measure SOV = 70,9% on the set consist of 126 proteins. The goal of the analysis described in this paper is to create a system that allows for receiving as the output the protein secondary structure, based on its primary structure being an input, and for finding rules responsible for this effect.
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© 2004 Springer Science+Business Media New York
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Błażewicz, J., Hammer, P.L., Łukasiak, P. (2004). Logical Analysis of Data as a Predictor of Protein Secondary Structures. In: Kolchanov, N., Hofestaedt, R. (eds) Bioinformatics of Genome Regulation and Structure. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7152-4_15
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DOI: https://doi.org/10.1007/978-1-4419-7152-4_15
Publisher Name: Springer, Boston, MA
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