An efficient Java™ solver implementation for SBML


We are greatful to everybody, who participated in this work:

Core developers

Collaborators and experimentalists in alphabetic order

Thanks to all collaborators from the Dr. Margarethe Fischer-Bosch-Institute for Clinical Pharmacology (IKP), Stuttgart, Germany:
  • Benjamin Kandel,
  • Marcus Klein,
  • Ute Hofmann, and
  • Maria Thomas

Principal investigators

We like to thank Bernhard Ø. Palsson and his research team for supporting this effort.


  • Michael Ziller, Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States,
  • Nicolas Rodriguez, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom,
  • Akira Funahashi, Keio University, Graduate School of Science and Technology, Yokohama, Japan,
  • Akito Tabira, Keio University, Graduate School of Science and Technology, Yokohama, Japan, and
  • Mike T. Cooling, Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand

Thanks for support

We would like to thank the SBML team (see, and the JSBML team (see

For friendly help we thank the developers from the Harvey Mudd College, Claremont, California, United States: Beky Kotcon, Samantha Mesuro, Daniel Rozenfeld, Anak Yodpinyanee, Andres Perez, Eric Doi, Richard Mehlinger, Steven Ehrlich, Martin Hunt, George Tucker, Peter Scherpelz, Aaron Becker, Eric Harley, and Chris Moore

Furthermore, we would like to thank the following colleagures from the Center for Bioinformatics Tuebingen (ZBIT) for help and support:


We also thank all contributors who participated in the development of SBMLsimulator at very early stages or who contributed code to related projects:


This project was funded by the Federal Ministry of Education and Research (Germany, Bundesministerium für Bildung und Forschung, BMBF) in the Virtual Liver Network and the European Commission as part of a Marie Curie International Outgoing Fellowship within the EU 7th Framework Program for Research and Technological Development (project AMBiCon, 332020). Furthermore, the Center for Bioinformatics Tuebingen (Zentrum für Bioinformatik Tübingen, ZBIT) supported this project.

This project is promoted by:

BMBF European Commission ZBIT Virtual Liver