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糖基磷脂酰肌醇锚定蛋白中新生多肽内切蛋白水解切割位点的统计预测。

Statistical prediction of the locus of endoproteolytic cleavage of the nascent polypeptide in glycosylphosphatidylinositol-anchored proteins.

作者信息

Antony A C, Miller M E

机构信息

Department of Medicine, Indiana University School of Medicine, Indianapolis 46202-5121.

出版信息

Biochem J. 1994 Feb 15;298 ( Pt 1)(Pt 1):9-16. doi: 10.1042/bj2980009.

Abstract

Existing methods of identifying the cleavage site of the nascent polypeptide and the C-terminal residue to which the glycosylphosphatidylinositol (GPI) anchor is attached in mature GPI-anchored proteins are technically difficult and labour-intensive. We tested the hypothesis that it was possible to predict this locus using data from the cDNA-deduced amino acid sequence and amino acid composition of GPI-anchored proteins. We employed a statistical approach which allowed repeated chi 2 comparisons between the proportions of residual amino acids in the major body of the cDNA-deduced polypeptide (minus the N-terminal signal peptide) after repeated computer-generated progressive exoproteolysis from its C-terminus one amino acid at a time and the fixed proportion of amino acids obtained from amino acid analysis of the mature GPI-anchored protein. Initial comparison of the two parameters invariably revealed a relatively high chi 2 statistic which progressively lowered to a minimum point at which the amino acid proportions of progressively exoproteolysed polypeptide and fixed endoproteolysed polypeptides of the mature GPI-anchored protein were in closest agreement. This objectively defined and unique minimum point of closest agreement accurately identified the locus of post-translational endoproteolytic cleavage of the nascent polypeptide in several tissue-specific single-gene-encoded GPI-anchored proteins. Thus the C-terminal amino acid to which the GPI anchor is attached can be rapidly identified using data from the cDNA sequence and the amino acid composition of proteins suspected to be GPI-anchored.

摘要

现有方法用于鉴定新生多肽的切割位点以及成熟糖基磷脂酰肌醇(GPI)锚定蛋白中GPI锚所连接的C末端残基,这些方法在技术上难度较大且劳动强度高。我们测试了一种假设,即利用来自cDNA推导的氨基酸序列和GPI锚定蛋白的氨基酸组成数据来预测这个位点是可行的。我们采用了一种统计方法,该方法允许在计算机生成的从其C末端每次一个氨基酸进行逐步外切蛋白水解后,对cDNA推导的多肽主体(减去N末端信号肽)中残留氨基酸的比例与从成熟GPI锚定蛋白的氨基酸分析中获得的固定氨基酸比例之间进行重复的卡方比较。这两个参数的初步比较总是显示出相对较高的卡方统计量,该统计量会逐渐降低到一个最低点,此时逐步外切蛋白水解的多肽和成熟GPI锚定蛋白的固定内切蛋白水解多肽的氨基酸比例最为接近。这个客观定义的、独特的最接近一致的最低点准确地确定了几种组织特异性单基因编码的GPI锚定蛋白中新生多肽翻译后内切蛋白水解切割的位点。因此,利用来自cDNA序列和疑似GPI锚定蛋白的氨基酸组成数据,可以快速鉴定出GPI锚所连接的C末端氨基酸。

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