Abstract
Protein N-myristoylation is the lipid modification in which the 14-carbon saturated fatty acid binds covalently to N-terminal of virus-based and eukaryotic protein. In this study, we suggest an approach to predict the pattern of N-myristoylation signal using the machine learning system BONSAI. BONSAI finds rules in combination of an alphabet indexings and decision trees. Computational experiments with BONSAI classified amino acid residues depending on effect for N-myristoylation and found rules of the alphabet indexing. In addition, BONSAI suggested new requirements for the position of an amino acid in N-myristoylation signal.
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Okada, R., Sugii, M., Matsuno, H., Miyano, S. (2006). Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation. In: Rajapakse, J.C., Wong, L., Acharya, R. (eds) Pattern Recognition in Bioinformatics. PRIB 2006. Lecture Notes in Computer Science(), vol 4146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11818564_2
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DOI: https://doi.org/10.1007/11818564_2
Publisher Name: Springer, Berlin, Heidelberg
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