Prediction of lipid posttranslational modifications and localization signals from protein sequences:: big-Π, NMT and PTS1
Prediction of lipid posttranslational modifications and localization signals from protein sequences:: big-Π, NMT and PTS1
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DOI：
10.1093/nar/gkg537
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发表时间：
2003-07-01
影响因子：
14.9
通讯作者：
Wildpaner, M
中科院分区：
文献类型：
--
作者：
Eisenhaber, F;Eisenhaber, B;Wildpaner, M
许多翻译后修饰（N-肉豆蔻酰化或糖基磷脂酰肌醇（GPI）脂质锚定）和定位信号（过氧化物酶体靶向信号PTS 1）在蛋白质序列的N-或C-末端的短的、部分组成上偏向的区域中编码。这些序列信号在氨基酸类型偏好方面没有很好地定义，但它们具有显着的插入相关性。虽然验证的蛋白质实例的数量是小的，但生产性蛋白质与执行相应转化的酶复合物结合所需的几个物理条件的量化可以导致识别来自单独查询的氨基酸序列的信号的预测器。由于活性复合物的发散演化，需要分类特异性预测功能。用于预测GPI脂质锚附着的C-末端信号的big-Pi工具可用于后生动物、原生动物和植物序列。肉豆蔻酰转移酶（NMT）预测因子识别高等真核生物（包括其病毒）和真菌的甘氨酸N-肉豆蔻酰化位点（在N-末端和加工后的片段）。PTS 1信号预测因子发现具有适合过氧化物酶体输入的C末端的蛋白质（对于后生动物和真菌）。三个基于WWW的预测（http：//mendel.imp.univie.ac.at/）和解释其输出的应用指南进行了说明。
Many posttranslational modifications (N-myristoylation or glycosylphosphatidylinositol (GPI) lipid anchoring) and localization signals (the peroxisomal targeting signal PTS1) are encoded in short, partly compositionally biased regions at the N- or C-terminus of the protein sequence. These sequence signals are not well defined in terms of amino acid type preferences but they have significant interpositional correlations. Although the number of verified protein examples is small, the quantification of several physical conditions necessary for productive protein binding with the enzyme complexes executing the respective transformations can lead to predictors that recognize the signals from the amino acid sequence of queries alone. Taxon-specific prediction functions are required due to the divergent evolution of the active complexes. The big-Pi tool for the prediction of the C-terminal signal for GPI lipid anchor attachment is available for metazoan, protozoan and plant sequences. The myristoyl transferase (NMT) predictor recognizes glycine N-myristoylation sites (at the N-terminus and for fragments after processing) of higher eukaryotes (including their viruses) and fungi. The PTS1 signal predictor finds proteins with a C-terminus appropriate for peroxisomal import (for metazoa and fungi). Guidelines for application of the three WWW-based predictors (http://mendel.imp.univie.ac.at/) and for the interpretation of their output are described.