Hinxton, Wednesday 2nd September 2009
Dear colleagues,
We are pleased to announce the fifteenth release of BioModels Database.
In this release, 15 new models have gained entry to the curated branch.
The public version of BioModels Database now contains 231 models in the
curated and 198 in the non-curated branch. Together, these 429 models
comprise 32014 species and 39293 reactions. Some of the existing models
have been curated again and updated to SBML Level 2 Version 3 or Version
4. And some have been slightly changed for correction and to enhance
reusability. Also the annotations of some existing models have been
updated. The database now features around 16492 cross-references.
Along with the data release, we have added some new features and also
have fixed some bugs in the BioModels Database software.
For more details, please check:
http://www.ebi.ac.uk/biomodels-main/static-pages.do?page=release_02September2009
BioModels Database is being developed by the Computational Neurobiology
group (EMBL-European Bioinformatics Institute, United-Kingdom) and the
SBML Team (California Institute of Technology, USA). The collaborators
are the Database Of Quantitative Cellular Signalling (National Center
for Biological Sciences, India), the Virtual Cell (University of
Connecticut Health Center, USA), JWS Online (Stellenbosch University,
ZA) and the CellML team (Auckland Bioengineering Institute, NZ).
BioModels Database development is funded by the European Molecular
Biology Laboratory (Computational Neurobiology group), the Biotechnology
and Biological Sciences Research Council (Computational Neurobiology
group), the National Institute of General Medical Sciences (SBML team
and Computational Neurobiology group), and the National Center for
Research Resources (Virtual Cell team).
BioModels Database also benefited from the help of Herbert Sauro
(Washington University, USA) and Hiroaki Kitano (Systems Biology
Institute, Japan), and from the funds of the DARPA (Sauro team).
A big thanks to all collaborators and submitters.
We also want to thank the SBML community for their support and the tools
they provide and develop.
The BioModels Database Team
http://www.ebi.ac.uk/biomodels
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