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使用信号肽预测分泌蛋白。

Predicting Secretory Proteins with SignalP.

作者信息

Nielsen Henrik

机构信息

Department of Bio and Health Informatics, Technical University of Denmark, Kemitorvet, Bldg., 208, 3500 Kgs., Lyngby, Denmark.

出版信息

Methods Mol Biol. 2017;1611:59-73. doi: 10.1007/978-1-4939-7015-5_6.

Abstract

SignalP is the currently most widely used program for prediction of signal peptides from amino acid sequences. Proteins with signal peptides are targeted to the secretory pathway, but are not necessarily secreted. After a brief introduction to the biology of signal peptides and the history of signal peptide prediction, this chapter will describe all the options of the current version of SignalP and the details of the output from the program. The chapter includes a case study where the scores of SignalP were used in a novel way to predict the functional effects of amino acid substitutions in signal peptides.

摘要

信号肽预测程序(SignalP)是目前应用最为广泛的,用于从氨基酸序列预测信号肽的程序。带有信号肽的蛋白质会靶向分泌途径,但不一定会被分泌出去。在简要介绍信号肽的生物学特性和信号肽预测的历史之后,本章将描述信号肽预测程序(SignalP)当前版本的所有选项以及该程序输出结果的详细信息。本章还包括一个案例研究,其中以一种新颖的方式使用信号肽预测程序(SignalP)的分数来预测信号肽中氨基酸取代的功能效应。

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