A neural network method for identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

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

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    Abstract

    We have developed a new method for the identication of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequences. The method performs signicantly better than previous prediction schemes, and can easily be applied to genome-wide data sets. Discrimination between cleaved signal peptides and uncleaved N-terminal signal-anchor sequences is also possible, though with lower precision.
    Original languageEnglish
    JournalInternational Journal of Neural Systems
    Volume8
    Issue number5/6
    Pages (from-to)581-599
    ISSN0129-0657
    Publication statusPublished - 1997

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