Abstract

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.

Keywords

BiologySoftwareProteomeSignal peptideComputational biologyProtein methodsProteomicsWeb browserBioinformaticsProtein Sorting SignalsComputer sciencePeptide sequenceBiochemistryProgramming languageWorld Wide WebThe Internet

MeSH Terms

Bacterial ProteinsEukaryotic CellsInternetPeptidesProtein Sorting SignalsProteomeReproducibility of ResultsSequence AnalysisProteinSoftwareUser-Computer Interface

Affiliated Institutions

Related Publications

Publication Info

Year
2004
Type
article
Volume
32
Issue
Web Server
Pages
W375-W379
Citations
493
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

493
OpenAlex
79
Influential
426
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Cite This

Karsten Hiller, Andreas Grote, Maurice Scheer et al. (2004). PrediSi: prediction of signal peptides and their cleavage positions. Nucleic Acids Research , 32 (Web Server) , W375-W379. https://doi.org/10.1093/nar/gkh378

Identifiers

DOI
10.1093/nar/gkh378
PMID
15215414
PMCID
PMC441516

Data Quality

Data completeness: 86%