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All Journal Indonesian Journal of Life Sciences
Muhammad Zainul Arifin
Indonesia International Institute for Life Sciences
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Medicine & Pharmacology

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Bioinformatics tools to Predict N-myristoylation Site a Comparison Study Muhammad Zainul Arifin; Arli A. Parikesit
Indonesian Journal of Life Sciences 2019: IJLS Vol 01 No .01
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.153 KB) | DOI: 10.54250/ijls.v1i1.10

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
Co-Authors Arli A. Parikesit