Bioinformatics tools to Predict N-myristoylation Site a Comparison Study

  • Muhammad Zainul Arifin Indonesia International Institute for Life Sciences
  • Arli A. Parikesit Indonesia International Institute for Life Sciences
Keywords: -terminal myristoylation; In-silico; comparison

Abstract

Protein N-myristoylation is the covalent attachment of myrstate, via an amide bond, to the N-terminal glycine residue of a nascent polypeptide assisted by myristol-CoA protein: N-myristoltransferases (NMT). PROSITE motif describes 5 amino acid after glycine site that would give rise to myristoylation site. However, applied to whole database extract, this motif give too many false postive results. Therefore 2 new tools were developed for N-myristoylation prediction.Taking physical properties into consideration inceases prediction scores greatly. However, these algorithms still cannot predict myristoylated site correctly 100% of the time due to limited understanding of the real mechanims underlying N-myristoylation

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Author Biographies

Muhammad Zainul Arifin, Indonesia International Institute for Life Sciences

Department of Bioinformatics

Arli A. Parikesit, Indonesia International Institute for Life Sciences

Head of Bioinformatics Departement

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Published
2019-01-17
How to Cite
Arifin, M., & Parikesit, A. (2019). Bioinformatics tools to Predict N-myristoylation Site a Comparison Study. Indonesian Journal of Life Sciences, 1(1), 6-12. https://doi.org/https://doi.org/10.54250/ijls.v1i1.10
Section
Articles