- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation
DOI
Open Access
Description
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.
