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

Research output: Contribution to journalJournal articleResearchpeer-review

  • Jensen, Lars Juhl
  • Ramneek Gupta
  • Nikolaj Blom
  • D Devos
  • J Tamames
  • Can Kesmir
  • H Nielsen
  • H H Staerfeldt
  • Kristoffer Rapacki
  • Christopher Workman
  • C A F Andersen
  • S Knudsen
  • A Krogh
  • A Valencia
  • S Brunak
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
Issue number5
Pages (from-to)1257-65
Number of pages9
Publication statusPublished - 2002
Externally publishedYes

ID: 40749858