Measurements of protein expression and thermal stability for 114 single mutants of a glycoside hydrolase allows evaluation of stability predictions

Author contributions (alphabetical by last name)

  • Dylan Alexander Carlin [2]: molecular cloning, designed experiments, wrote software used in analysis, analyzed data, Rosetta modeling, FoldX modeling, machine learning, wrote paper
  • Ryan Caster [1]: characterized expression for mutants
  • Bill Chan [1]: characterized Tm for mutants, analyzed data, contributed to paper
  • Natalie Damrau [1]: characterized mutants
  • Siena Hapig-Ward [1]: characterized Tm and kinetic constants, analyzed data, drew figures, contributed to paper
  • Mary Riley [1]: characterized mutants
  • Justin B. Siegel [1,3,4]: PI

Author affiliations:

  1. Genome Center, University of California, Davis CA, USA
  2. Biophysics Graduate Group, University of California, Davis CA, USA
  3. Department of Chemistry, University of California, Davis CA, USA
  4. Department of Biochemistry & Molecular Medicine, University of California, Davis CA, USA

Subject areas: biochemistry, computational biology, machine learning

Keywords: enzyme, Rosetta, thermal stability