PrediSi:: prediction of signal peptides and their cleavage positions

被引:355
作者
Hiller, K
Grote, A
Scheer, M
Münch, R
Jahn, D
机构
[1] Tech Univ Braunschweig, Inst Mikrobiol, D-38106 Braunschweig, Germany
[2] Fachhsch Wolfenbuttel, Fachbereich Informat, D-38302 Wolfenbuttel, Germany
关键词
D O I
10.1093/nar/gkh378
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We have developed PrediSi (Prediction of Signal peptides), a new tool for predicting signal peptide sequences and their cleavage positions in bacterial and eukaryotic amino acid sequences. In contrast to previous prediction tools, our new software is especially useful for the analysis of large datasets in real time with high accuracy. PrediSi allows the evaluation of whole proteome datasets, which are currently accumulating as a result of numerous genome projects and proteomics experiments. The method employed is based on a position weight matrix approach improved by a frequency correction which takes in to consideration the amino acid bias present in proteins. The software was trained using sequences extracted from the most recent version of the SwissProt database. PrediSi is accessible via a web interface. An extra Java package was designed for the integration of PrediSi into other software projects. The tool is freely available on the World Wide Web at http://www.predisi.de.
引用
收藏
页码:W375 / W379
页数:5
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