Email updates

Keep up to date with the latest news and content from BMC Bioinformatics and BioMed Central.

Open Access Database

The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet)

Nicolas Le Novère* and Marco Donizelli

Author Affiliations

Computational Neurobiology, EMBL-EBI, Wellcome-Trust Genome Campus, Hinxton Cambridge, CB10 1SD UK

For all author emails, please log on.

BMC Bioinformatics 2004, 5:174  doi:10.1186/1471-2105-5-174

Published: 1 November 2004



DopaNet webcite is a Systems Biology initiative that aims to investigate precisely and quantitatively all the aspects of neurotransmission in a specific neuronal system, the mesotelencephalic dopamine system. The project should lead to large-scale models of molecular and cellular processes involved in neuronal signaling. A prerequisite is the proper storage of knowledge coming from the literature.


DopaNet Molecular Pages are highly structured descriptions of quantitative parameters related to a specific molecular complex involved in neuronal signal processing. A Molecular Page is built by maintainers who are experts in the field, and responsible for the quality of the page content. Each piece of data is identified by a specific ontology code, annotated (method of acquisition, species, etc.) and linked to the relevant bibliography. The Molecular Pages are stored as XML files, and processed through the DopaNet Web Service, which provides functionalities to edit the Molecular Pages, to cross-link the Pages and generate the public display, and to search them.


DopaNet Molecular Pages are one of the core resources of the DopaNet project but should be of widespread utility in the field of Systems Neurobiology.