Prediction of Novel Archaeal Enzymes From Sequence-Derived Features

Protein Sci. 2002 Dec;11(12):2894-8. doi: 10.1110/ps.0225102.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amino Acid Motifs
  • Amino Acid Sequence
  • Archaea / enzymology*
  • Computational Biology / methods*
  • Enzymes / chemistry*
  • Enzymes / classification*
  • Glycosylation
  • Neural Networks, Computer
  • Phylogeny
  • Protein Structure, Secondary
  • Structure-Activity Relationship

Substances

  • Enzymes