Title |
MetaNET - a web-accessible interactive platform for biological metabolic network analysis
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Published in |
BMC Systems Biology, December 2014
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DOI | 10.1186/s12918-014-0130-2 |
Pubmed ID | |
Authors |
Pankaj Narang, Shawez Khan, Anmol Jaywant Hemrom, Andrew Michael Lynn, Open Source Drug Discovery Consortium |
Abstract |
Metabolic reactions have been extensively studied and compiled over the last century. These have provided a theoretical base to implement models, simulations of which are used to identify drug targets and optimize metabolic throughput at a systemic level. While tools for the perturbation of metabolic networks are available, their applications are limited and restricted as they require varied dependencies and often a commercial platform for full functionality. We have developed MetaNET, an open source user-friendly platform-independent and web-accessible resource consisting of several pre-defined workflows for metabolic network analysis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 18% |
Russia | 1 | 9% |
Israel | 1 | 9% |
Japan | 1 | 9% |
Unknown | 6 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 73% |
Scientists | 3 | 27% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 4% |
United States | 2 | 4% |
Brazil | 1 | 2% |
Colombia | 1 | 2% |
Singapore | 1 | 2% |
South Africa | 1 | 2% |
Unknown | 44 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 31% |
Student > Ph. D. Student | 11 | 21% |
Student > Master | 7 | 13% |
Student > Bachelor | 4 | 8% |
Other | 4 | 8% |
Other | 6 | 12% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 22 | 42% |
Biochemistry, Genetics and Molecular Biology | 9 | 17% |
Computer Science | 9 | 17% |
Engineering | 2 | 4% |
Environmental Science | 1 | 2% |
Other | 3 | 6% |
Unknown | 6 | 12% |