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New User-Friendly Approach to Obtain an Eisenberg Plot and Its Use as a Practical Tool in Protein Sequence Analysis

机译:一种新的用户友好方法可获取Eisenberg图并将其用作蛋白质序列分析中的实用工具

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摘要

The Eisenberg plot or hydrophobic moment plot methodology is one of the most frequently used methods of bioinformatics. Bioinformatics is more and more recognized as a helpful tool in Life Sciences in general, and recent developments in approaches recognizing lipid binding regions in proteins are promising in this respect. In this study a bioinformatics approach specialized in identifying lipid binding helical regions in proteins was used to obtain an Eisenberg plot. The validity of the Heliquest generated hydrophobic moment plot was checked and exemplified. This study indicates that the Eisenberg plot methodology can be transferred to another hydrophobicity scale and renders a user-friendly approach which can be utilized in routine checks in protein–lipid interaction and in protein and peptide lipid binding characterization studies. A combined approach seems to be advantageous and results in a powerful tool in the search of helical lipid-binding regions in proteins and peptides. The strength and limitations of the Eisenberg plot approach itself are discussed as well. The presented approach not only leads to a better understanding of the nature of the protein–lipid interactions but also provides a user-friendly tool for the search of lipid-binding regions in proteins and peptides.
机译:艾森伯格图或疏水矩图方法学是生物信息学最常用的方法之一。一般而言,生物信息学在生命科学中越来越被认为是一种有用的工具,并且识别蛋白质中脂质结合区的方法的最新进展在这方面很有前途。在这项研究中,使用一种专门用于鉴定蛋白质中脂质结合螺旋区域的生物信息学方法来获得Eisenberg图。检查并举例说明了Heliquest生成的疏水矩图的有效性。这项研究表明,艾森伯格图法可以转移到另一个疏水性尺度,并提供了一种用户友好的方法,可用于蛋白质-脂质相互作用和蛋白质与肽脂质结合特征研究的常规检查。组合的方法似乎是有利的,并且导致寻找蛋白质和肽中的螺旋脂质结合区的有力工具。还讨论了Eisenberg绘图方法本身的优势和局限性。提出的方法不仅可以使人们更好地了解蛋白质与脂质之间的相互作用,而且可以提供一种用户友好的工具来搜索蛋白质和多肽中的脂质结合区域。

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