The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet)
<p>Abstract</p> <p>Background</p> <p>DopaNet <url>http://www.dopanet.org</url> is a Systems Biology initiative that aims to investigate precisely and quantitatively all the aspects of neurotransmission in a specific neuronal system, the mesotelencephalic dop...
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doaj-d34a05ccafee49bb9d136a7d7123fa982020-11-25T00:15:11ZengBMCBMC Bioinformatics1471-21052004-11-015117410.1186/1471-2105-5-174The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet)Le Novère NicolasDonizelli Marco<p>Abstract</p> <p>Background</p> <p>DopaNet <url>http://www.dopanet.org</url> 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.</p> <p>Methods</p> <p>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.</p> <p>Conclusions</p> <p>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.</p> http://www.biomedcentral.com/1471-2105/5/174 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Le Novère Nicolas Donizelli Marco |
spellingShingle |
Le Novère Nicolas Donizelli Marco The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet) BMC Bioinformatics |
author_facet |
Le Novère Nicolas Donizelli Marco |
author_sort |
Le Novère Nicolas |
title |
The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet) |
title_short |
The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet) |
title_full |
The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet) |
title_fullStr |
The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet) |
title_full_unstemmed |
The Molecular Pages of the mesotelencephalic dopamine consortium (DopaNet) |
title_sort |
molecular pages of the mesotelencephalic dopamine consortium (dopanet) |
publisher |
BMC |
series |
BMC Bioinformatics |
issn |
1471-2105 |
publishDate |
2004-11-01 |
description |
<p>Abstract</p> <p>Background</p> <p>DopaNet <url>http://www.dopanet.org</url> 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.</p> <p>Methods</p> <p>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.</p> <p>Conclusions</p> <p>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.</p> |
url |
http://www.biomedcentral.com/1471-2105/5/174 |
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