Project description
The goal of research project PN 2-6 is to establish a data management environment for biocatalytic data which
- enables data acquisition and documentation according to FAIR data principles,
- provides a searchable data repository for structured data, that can be searched by standardized metadata,
- enables workflow solutions for a seamless data transfer between experiment, modelling platforms, and databases with minimal human intervention.
The core of the project is the development of EnzymeML as a standardized exchange format for biocatalytic data.
Project information
| Project title |
Seamlesss data flow by EnzymeML, an SBML-based exchange format for the integration of enzymatic reaction data |
| Project leader | Jürgen Pleiss |
| Project partners | Nicole Radde (PN2-9) Tobias Siebert, Oliver Röhrle (PN2-8) |
| Project duration | February 2021 - July 2021 |
| Project number | PN 2-6 |
- Follow-up project 2-6 (II)
Software-driven RDM (sdRDM), a generic and extensible bottom-up research data management concept and its application in biocatalysis and beyond
Publications PN 2-6 and PN 2-6 (II)
2023
- S. Lauterbach et al., “EnzymeML: seamless data flow and modeling of enzymatic data,” Nature Methods, vol. 20, no. 3, Art. no. 3, 2023, doi: 10.1038/s41592-022-01763-1.
2022
- J. Range et al., “EnzymeML—a data exchange format for biocatalysis and enzymology,” The FEBS Journal, vol. 289, no. 19, Art. no. 19, Oct. 2022, doi: https://doi.org/10.1111/febs.16318.
2021
- J. Pleiss, “Standardized data, scalable documentation, sustainable storage – EnzymeML as a basis for FAIR data management in biocatalysis,” ChemCatChem, vol. 13, pp. 3909–3913, 2021, doi: https://doi.org/10.1002/cctc.202100822.