生物信息学工具预测n -肉豆蔻酰化位点的比较研究

Muhammad Zainul Arifin, A. A. Parikesit
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引用次数: 0

摘要

蛋白n -肉豆蔻酰基化是由肉豆蔻酰基辅酶a蛋白n -肉豆蔻酰基转移酶(n -肉豆蔻酰基转移酶,NMT)辅助下,myrstate通过酰胺键与新生多肽n端甘氨酸残基的共价连接。PROSITE基序描述了甘氨酸位点之后的5个氨基酸,这些氨基酸会产生肉豆蔻酰化位点。然而,应用于整个数据库提取,该motif给出了太多的误报结果。因此,开发了两种新的n -肉豆蔻酰化预测工具。考虑物理性质可以大大提高预测分数。然而,由于对n -肉豆蔻酰化的真正机制的了解有限,这些算法仍然不能100%准确地预测肉豆蔻酰化位点
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Bioinformatics tools to Predict N-myristoylation Site a Comparison Study
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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