Prediction of novel archaeal enzymes from sequence-derived features

Lars Juhl Jensen, Marie Skovgaard, Søren Brunak

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    The completely sequenced archaeal genomes potentially encode, among their many functionally uncharacterized genes, novel enzymes of biotechnological interest. We have developed a prediction method for detection and classification of enzymes from sequence alone (available at http://www.cbs.dtu.dk/services/ArchaeaFun/). The method does not make use of sequence similarity; rather, it relies on predicted protein features like cotranslational and posttranslational modifications, secondary structure, and simple physical/chemical properties.
    Original languageEnglish
    JournalProtein Science
    Volume11
    Issue number12
    Pages (from-to)2894-2898
    ISSN0961-8368
    Publication statusPublished - 2002

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