Prediction of human protein function from post-translational modifications and localization features

Lars Juhl Jensen, Ramneek Gupta, Nikolaj Blom, D. Devos, J. Tamames, Can Kesmir, Henrik Nielsen, Hans Henrik Stærfeldt, Krzysztof Rapacki, Christopher Workman, C.A.F. Andersen, Steen Knudsen, A. Krogh, A. Valencia, Søren Brunak

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    We have developed an entirely sequence-based method that identifies and integrates relevant features that can be used to assign proteins of unknown function to functional classes, and enzyme categories for enzymes. We show that strategies for the elucidation of protein function may benefit from a number of functional attributes that are more directly related to the linear sequence of amino acids, and hence easier to predict, than protein structure. These attributes include features associated with post-translational modifications and protein sorting, but also much simpler aspects such as the length, isoelectric point and composition of the polypeptide chain.
    Original languageEnglish
    JournalJournal of molecular biology
    Volume319
    Issue number5
    Pages (from-to)1257-1265
    ISSN0022-2836
    Publication statusPublished - 2002

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