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以蛋白转位膜蛋白为例预测细胞质和细胞外环的膜蛋白中的脂质结合区域。

Prediction of lipid-binding regions in cytoplasmic and extracellular loops of membrane proteins as exemplified by protein translocation membrane proteins.

机构信息

Section of Chemistry, Charlemagne College, Wilhelminastraat 13-15, 6524 AJ Nijmegen, The Netherlands.

出版信息

J Membr Biol. 2013 Jan;246(1):21-9. doi: 10.1007/s00232-012-9498-3. Epub 2012 Sep 9.

Abstract

The presence of possible lipid-binding regions in the cytoplasmic or extracellular loops of membrane proteins with an emphasis on protein translocation membrane proteins was investigated in this study using bioinformatics. Recent developments in approaches recognizing lipid-binding regions in proteins were found to be promising. In this study a total bioinformatics approach specialized in identifying lipid-binding helical regions in proteins was explored. Two features of the protein translocation membrane proteins, the position of the transmembrane regions and the identification of additional lipid-binding regions, were analyzed. A number of well-studied protein translocation membrane protein structures were checked in order to demonstrate the predictive value of the bioinformatics approach. Furthermore, the results demonstrated that lipid-binding regions in the cytoplasmic and extracellular loops in protein translocation membrane proteins can be predicted, and it is proposed that the interaction of these regions with phospholipids is important for proper functioning during protein translocation.

摘要

本研究采用生物信息学方法研究了具有跨膜蛋白特征的细胞质或细胞外环中可能存在的脂质结合区域,这些跨膜蛋白的特征是蛋白质易位。最近在识别蛋白质中脂质结合区域的方法上取得了进展,这些方法很有前景。在这项研究中,我们探索了一种专门用于识别蛋白质中脂质结合螺旋区域的全生物信息学方法。分析了蛋白质易位跨膜蛋白的两个特征,即跨膜区域的位置和额外脂质结合区域的识别。为了证明生物信息学方法的预测价值,我们检查了许多经过深入研究的蛋白质易位跨膜蛋白结构。此外,研究结果表明,可以预测蛋白质易位跨膜蛋白的细胞质和细胞外环中的脂质结合区域,并且提出这些区域与磷脂的相互作用对于蛋白质易位过程中的正常功能很重要。

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