Protein features as determinants of wild-type glycoside hydrolase thermostability

Research output: Contribution to journalJournal articlepeer-review

  • Henrik Marcus Geertz-Hansen
  • Lars Kiemer
  • Morten Nielsen
  • Kiril Stanchev
  • Nikolaj Blom
  • Brunak, Søren
  • Thomas Nordahl Petersen

Thermostable enzymes for conversion of lignocellulosic biomass into biofuels have significant advantages over enzymes with more moderate themostability due to the challenging application conditions. Experimental discovery of thermostable enzymes is highly cost intensive, and the development of in-silico methods guiding the discovery process would be of high value. To develop such an in-silico method and provide the data foundation of it, we determined the melting temperatures of 602 fungal glycoside hydrolases from the families GH5, 6, 7, 10, 11, 43, and AA9 (formerly GH61). We, then used sequence and homology modeled structure information of these enzymes to develop the ThermoP melting temperature prediction method. Futhermore, in the context of thermostability, we determined the relative importance of 160 molecular features, such as amino acid frequencies and spatial interactions, and exemplified their biological significance. The presented prediction method is made publicly available at

Original languageEnglish
JournalProteins: Structure, Function, and Bioinformatics
Issue number11
Pages (from-to)2036-2044
Number of pages9
Publication statusPublished - Nov 2017

    Research areas

  • Journal Article

ID: 184322474