Using data mining to identify structural rules in proteins |
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Authors: | Diogo Stelle Maria C. Barioni Luis P. Scott |
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Affiliation: | Center of Mathematics, Computation and Cognition, ABC Fed. Univ., Rua Santa Adélia, 166, Bangu CEP: 09.210-170, Santo André, SP, Brazil |
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Abstract: | The progress in bioinformatics and biotechnology area has generated a huge amount of sequences that requires a detailed analysis. There are several data mining techniques that can be used to discovery patterns in large databases. This paper describes the development of a tool/methodology to extract hydrophobicity patterns/profiles that archives a specific secondary structure in proteins. The results indicate that association rules can be efficient method to investigate this kind of problem. This work contributes for two areas: prediction of protein structure and protein folding. |
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Keywords: | Protein structure Database Data mining Association rules Bioinformatics |
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