Systematic Engineering of Artificial Metalloenzymes for New-to-Nature Reactions
<p>Data underlying the figures in the publication “Systematic Engineering of Artificial Metalloenzymes for New-to-Nature Reactions”, published in Sci. Adv., <strong>2021</strong>, 7, eabe420<em>RSC. </em></p> <p><em><a href="https://advances.sciencemag.org/content/7/4/eabe4208.abstract">https://advances.sciencemag.org/content/7/4/eabe4208.abstract</a></em></p> <p>Table of contents:</p> <p><strong>1. Dataset 1</strong>; Excel file containing the dataset for the Figures in the publication. It contains the activity of 400 artificial metalloenzymes measured for five reactions. In addition, the expression level of all mutants as well as validation experiments in vivo and in vitro are provided. As outlined in the file, some data were processed by subtracting a blank and normalizing to the optical density of the cultures as well as to a wild type control. Mutants are referred to by the amino acids at positions 112 and 121 of the protein.</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 4
- Engagement
- 0