Title |
Predicting new molecular targets for rhein using network pharmacology
|
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Published in |
BMC Systems Biology, March 2012
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DOI | 10.1186/1752-0509-6-20 |
Pubmed ID | |
Authors |
Aihua Zhang, Hui Sun, Bo Yang, Xijun Wang |
Abstract |
Drugs can influence the whole biological system by targeting interaction reactions. The existence of interactions between drugs and network reactions suggests a potential way to discover targets. The in silico prediction of potential interactions between drugs and target proteins is of core importance for the identification of new drugs or novel targets for existing drugs. However, only a tiny portion of drug-targets in current datasets are validated interactions. This motivates the need for developing computational methods that predict true interaction pairs with high accuracy. Currently, network pharmacology has used in identifying potential drug targets to predicting the spread of drug activity and greatly contributed toward the analysis of biological systems on a much larger scale than ever before. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Austria | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Indonesia | 1 | 1% |
United States | 1 | 1% |
Russia | 1 | 1% |
China | 1 | 1% |
Unknown | 65 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 26% |
Student > Ph. D. Student | 13 | 19% |
Student > Master | 11 | 16% |
Student > Bachelor | 5 | 7% |
Lecturer | 4 | 6% |
Other | 8 | 12% |
Unknown | 10 | 14% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 17 | 25% |
Computer Science | 12 | 17% |
Medicine and Dentistry | 7 | 10% |
Biochemistry, Genetics and Molecular Biology | 5 | 7% |
Chemistry | 5 | 7% |
Other | 8 | 12% |
Unknown | 15 | 22% |