Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

Henrik Nielsen, Jacob Engelbrecht, Søren Brunak, Gunnar von Heijne

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    We have developed a new method for the identification of signal peptides and their cleavage based on neural networks trained on separate sets of prokaryotic and eukaryotic sequence. The method performs significantly better than previous prediction schemes and can easily be applied on genome-wide data sets. Discrimination between cleaved signal peptides and uncleaved N-terminal signal-anchor sequences is also possible, though with lower precision. Predictions can be made on a publicly available WWW server.
    Original languageEnglish
    JournalProtein Engineering
    Volume10
    Issue number2
    Pages (from-to)1-6
    ISSN0269-2139
    Publication statusPublished - 1997

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