Prediction of novel archaeal enzymes from sequence-derived features

Lars Juhl Jensen, Marie Skovgaard, Søren Brunak

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36 Citations (Scopus)

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)2894-8
Number of pages5
ISSN0961-8368
DOIs
Publication statusPublished - 2002
Externally publishedYes

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