不同版本的SignalP和TargetP在硅藻质体蛋白预测中的ASAFind比较

Ansgar GruberBiology Centre, Institute of Parasitology, Czech Academy of Sciences, Cedar McKaySchool of Oceanography, University of Washington, Gabrielle RocapSchool of Oceanography, University of Washington, Miroslav OborníkBiology Centre, Institute of Parasitology, Czech Academy of SciencesUniversity of South Bohemia
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引用次数: 0

摘要

利用2015年发表的ASAFind方法,可以对硅藻及相关藻类的质体靶向蛋白进行高灵敏度和特异性的预测。ASAFind预测依赖于内质网(ER)靶向信号肽的SignalP预测。最近(2019年)发布了SignalP的新版本SignalP 5.0。我们测试了SignalP 5.0识别核编码的、质体靶向硅藻前蛋白的信号肽的能力,以及识别信号肽切割位点的能力。将结果与人工预测的特征切割位点基序以及先前版本的SignalP进行了比较。signalp5.0与之前版本的SignalPin相比,在检测硅藻中非质体蛋白的信号肽方面灵敏度较低。然而,结合ASAFind,对质体蛋白的预测性能很高。此外,我们测试了多位置预测工具TargetP是否适合为ASAFind提供信号肽信息。与其他版本的SignalP和TargetP相比,最新版本TargetP 2.0对硅藻信号肽和线粒体传递肽的预测性能最高,为ASAFind预测提供了良好的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of different versions of SignalP and TargetP for diatom plastid protein predictions with ASAFind
Plastid targeted proteins of diatoms and related algae can be predicted with high sensitivity and specificity using the ASAFind method published in 2015. ASAFind predictions rely on SignalP predictions of endoplasmic reticulum (ER) targeting signal peptides. Recently (in 2019), a new version of SignalP was released, SignalP 5.0. We tested the ability of SignalP 5.0 to recognize signal peptides of nucleus-encoded, plastid-targeted diatom pre-proteins, and to identify the signal peptide cleavage site. The results were compared to manual predictions of the characteristic cleavage site motif, and to previous versions of SignalP. SignalP 5.0 is less sensitive than the previous versions of SignalP in this specific task, and also in the detection of signal peptides of non-plastid proteins in diatoms. However, in combination with ASAFind, the resulting prediction performance for plastid proteins is high. In addition, we tested the multi-location prediction tool TargetP for its suitability to provide signal peptide information to ASAFind. The newest version, TargetP 2.0, had the highest prediction performances for diatom signal peptides and mitochondrial transit peptides compared to other versions of SignalP and TargetP, thus it provides a good basis for ASAFind predictions.
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