小gtpase分类的新见解。

Q2 Biochemistry, Genetics and Molecular Biology
Dominik Heider, Sascha Hauke, Martin Pyka, Daniel Kessler
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引用次数: 20

摘要

在这项研究中,我们使用基于随机森林的方法将小鸟苷三磷酸蛋白(GTPases)分配到特定的亚群。小gtpase代表了一个重要的功能蛋白群,在广泛的基本细胞过程中作为分子开关,包括细胞内运输、运动和信号事件。这些蛋白质在癌症研究中得到了进一步的特别重视,因为在过去的几十年里,来自不同亚群的各种各样的小gtpase可能与所有类型肿瘤的发展有关。使用随机森林方法,我们能够在小GTPases超家族及其亚群中确定最重要的氨基酸位置。这些位置与早期的研究结果一致,并且已被证明是GTPase家族不同功能的基本要素。此外,我们提供了一个准确可靠的软件工具(GTPasePred)来识别潜在的新型gtpase,并展示其在基因组序列中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Insights into the classification of small GTPases.

Insights into the classification of small GTPases.

Insights into the classification of small GTPases.

Insights into the classification of small GTPases.

In this study we used a Random Forest-based approach for an assignment of small guanosine triphosphate proteins (GTPases) to specific subgroups. Small GTPases represent an important functional group of proteins that serve as molecular switches in a wide range of fundamental cellular processes, including intracellular transport, movement and signaling events. These proteins have further gained a special emphasis in cancer research, because within the last decades a huge variety of small GTPases from different subgroups could be related to the development of all types of tumors. Using a random forest approach, we were able to identify the most important amino acid positions for the classification process within the small GTPases superfamily and its subgroups. These positions are in line with the results of earlier studies and have been shown to be the essential elements for the different functionalities of the GTPase families. Furthermore, we provide an accurate and reliable software tool (GTPasePred) to identify potential novel GTPases and demonstrate its application to genome sequences.

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来源期刊
Advances and Applications in Bioinformatics and Chemistry
Advances and Applications in Bioinformatics and Chemistry Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
16 weeks
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