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Using data mining to identify structural rules in proteins
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AI
DOI：10.1016/j.amc.2011.07.011.png)
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Abstract
En 中文
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. (C) 2011 Elsevier Inc. All rights reserved.
Keywords:
Protein structure
Database
Data mining
Association rules
Bioinformatics
Journal
IF:
3.4
Papers:
2.3W
Citations:
3.3W
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