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Prediction of novel archaeal enzymes from sequence-derived features

Center for Biological Sequence Analysis, BioCentrum-DTU, The Technical University of Denmark, DK-2800 Lyngby, Denmark

Reprint requests to: Søren Brunak, Center for Biological Sequence Analysis, The Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark; e-mail: brunak{at}cbs.dtu.dk; fax: 45-45931585.

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.

Keywords: Function prediction; enzyme classification; Archaea; glycosylation; secondary structure

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