About EnzymeML
EnzymeML provides a platform for the creation of an infrastructure for biocatalysis. It defines a standardized data format for catalytic reaction data, designed to ensure consistency and interoperability and aims at enabling researchers to store, share, and enrich reaction data with detailed metadata in JSON or XML formats. Tools for reading and writing EnzymeML simplify data handling and ensure reproducibility, paving the way for data-driven research in biocatalysis.
The project is coordinated by:
- Jürgen Pleiss (University of Stuttgart)
- Frank Bergmann (University of Heidelberg)
- Carsten Kettner (Beilstein-Institut, Frankfurt)
- Santiago Schnell (Dartmouth College, Hanover, USA)
The technical development is funded by a number of diverse DFG programs.
More details can be found at the homepage of EnzymeML.org.
The EnzymeML workshops are supported by the Beilstein-Institut and Cozyme, the Pan-European Network on Computational Redesign of Enzymes, funded by the European Union.
