Title |
NeuroDNet - an open source platform for constructing and analyzing neurodegenerative disease networks
|
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Published in |
BMC Neuroscience, January 2013
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DOI | 10.1186/1471-2202-14-3 |
Pubmed ID | |
Authors |
Suhas V Vasaikar, Aditya K Padhi, Bhyravabhotla Jayaram, James Gomes |
Abstract |
Genetic networks control cellular functions. Aberrations in normal cellular function are caused by mutations in genes that disrupt the fine tuning of genetic networks and cause disease or disorder. However, the large number of signalling molecules, genes and proteins that constitute such networks, and the consequent complexity of interactions, has restrained progress in research elucidating disease mechanisms. Hence, carrying out a systematic analysis of how diseases alter the character of these networks is important. We illustrate this through our work on neurodegenerative disease networks. We created a database, NeuroDNet, which brings together relevant information about signalling molecules, genes and proteins, and their interactions, for constructing neurodegenerative disease networks. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 43% |
Mexico | 1 | 14% |
United States | 1 | 14% |
Australia | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 43% |
Scientists | 3 | 43% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 3 | 4% |
United Kingdom | 2 | 3% |
Panama | 1 | 1% |
Korea, Republic of | 1 | 1% |
Japan | 1 | 1% |
Unknown | 66 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 20% |
Student > Ph. D. Student | 13 | 18% |
Student > Bachelor | 10 | 14% |
Professor > Associate Professor | 6 | 8% |
Student > Master | 5 | 7% |
Other | 11 | 15% |
Unknown | 14 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 27% |
Computer Science | 7 | 9% |
Medicine and Dentistry | 7 | 9% |
Biochemistry, Genetics and Molecular Biology | 6 | 8% |
Neuroscience | 5 | 7% |
Other | 16 | 22% |
Unknown | 13 | 18% |