Prediction of novel archaeal enzymes from sequence-derived features
Research output: Contribution to journal › Journal article › Research › peer-review
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 https://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.
|Number of pages||5|
|Publication status||Published - 2002|