线粒体靶向信号及其裂解位点的预测。

4区 生物学 Q3 Biochemistry, Genetics and Molecular Biology
Methods in enzymology Pub Date : 2024-01-01 Epub Date: 2024-09-11 DOI:10.1016/bs.mie.2024.07.026
Fukasawa Yoshinori, Kenichiro Imai, Paul Horton
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引用次数: 0

摘要

在本章中,我们将介绍用于预测线粒体靶向蛋白质的氨基酸序列元素的预测工具和计算方法。我们将主要关注线粒体靶向信号(MTS)N 端及其 N 端被线粒体肽酶裂解位点的预测。我们首先介绍了使用和安装一些预测工具的实用细节。然后,我们介绍了为统计分析或开发新的预测方法而准备含 MTS 蛋白质数据集的程序。随后,我们简要介绍了一些预测工具所使用的计算技术。最后,我们讨论了这些方法在预测突变对 MTS 功能影响的可靠性方面的一些注意事项;最后,我们讨论了与线粒体蛋白质相关的计算机预测方法的未来可能发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of mitochondrial targeting signals and their cleavage sites.

In this chapter we survey prediction tools and computational methods for the prediction of amino acid sequence elements which target proteins to the mitochondria. We will primarily focus on the prediction of N-terminal mitochondrial targeting signals (MTSs) and their N-terminal cleavage sites by mitochondrial peptidases. We first give practical details useful for using and installing some prediction tools. Then we describe procedures for preparing datasets of MTS containing proteins for statistical analysis or development of new prediction methods. Following that we lightly survey some of the computational techniques used by prediction tools. Finally, after discussing some caveats regarding the reliability of such methods to predict the effects of mutations on MTS function; we close with a discussion of possible future directions of computer prediction methods related to mitochondrial proteins.

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来源期刊
Methods in enzymology
Methods in enzymology 生物-生化研究方法
CiteScore
2.90
自引率
0.00%
发文量
308
审稿时长
3-6 weeks
期刊介绍: The critically acclaimed laboratory standard for almost 50 years, Methods in Enzymology is one of the most highly respected publications in the field of biochemistry. Each volume is eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with over 500 volumes the series contains much material still relevant today and is truly an essential publication for researchers in all fields of life sciences, including microbiology, biochemistry, cancer research and genetics-just to name a few. Five of the 2013 Nobel Laureates have edited or contributed to volumes of MIE.
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