- Jan Range University of Stuttgart ,
- Colin Halupczok University of Stuttgart ,
- Jens Lohmann University of Stuttgart ,
- Neil Swainston University of Liverpool ,
- Carsten Kettner Beilstein-Institut ,
- Frank T. Bergmann Heidelberg University ,
- Andreas Weidemann Heidelberg Institute for Theoretical Studies ,
- Ulrike Wittig Heidelberg Institute for Theoretical Studies ,
- Santiago Schnell University of Michigan ,
- Jürgen Pleiss University of Stuttgart
EnzymeML is an XML–based data exchange format that supports the comprehensive documentation of enzymatic data by describing reaction conditions, time courses of substrate and product concentrations, the kinetic model, and the estimated kinetic constants. EnzymeML is based on the Systems Biology Markup Language, which was extended by implementing the STRENDA Guidelines. An EnzymeML document serves as a container to transfer data between experimental platforms, modelling tools, and databases. EnzymeML supports the scientific community by introducing a standardised data exchange format to make enzymatic data findable, accessible, interoperable, and reusable according to the FAIR data principles. An Application Programming Interface in Python and Java supports the integration of applications. The feasibility of a seamless data flow using EnzymeML is demonstrated by creating an EnzymeML document from a structured spreadsheet or from a STRENDA DB database entry, by kinetic modelling using the modelling platform COPASI, and by uploading to the enzymatic reaction kinetics database SABIO-RK.
SI to "EnzymeML - a data exchange format for biocatalysis and enzymology"