| URL: | http://www.cls.zju.edu.cn/dcdb/ |
| Full name: | Drug Combination Database |
| Description: | Accumulating scientific and clinical evidences have suggested the use of drug combinations as a safe and effective approach, to treat complicated and refractory diseases. The Drug Combination Database (DCDB) is devoted to the research and development of multi-component drugs. By collecting and organizing known examples of drug combinations, it aims to facilitate in-depth analyses of these cases, to summarize patterns of coordinated drug actions, and to provide a basis for theoretical modeling and simulation of such beneficial drug combinations. |
| Year founded: | 2014 |
| Last update: | |
| Version: | 2.0 |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Zhejiang University |
| Address: | Department of Bioinformatics, College of Life Sciences and Institute of Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, P.R. China |
| City: | Hangzhou |
| Province/State: | Zhejiang |
| Country/Region: | China |
| Contact name (PI/Team): | Chen X |
| Contact email (PI/Helpdesk): | xinchen@zju.edu.cn. |
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DCDB 2.0: a major update of the drug combination database. [PMID: 25539768]
Experience in clinical practice and research in systems pharmacology suggested the limitations of the current one-drug-one-target paradigm in new drug discovery. Single-target drugs may not always produce desired physiological effects on the entire biological system, even if they have successfully regulated the activities of their designated targets. On the other hand, multicomponent therapy, in which two or more agents simultaneously interact with multiple targets, has attracted growing attention. Many drug combinations consisting of multiple agents have already entered clinical practice, especially in treating complex and refractory diseases. Drug combination database (DCDB), launched in 2010, is the first available database that collects and organizes information on drug combinations, with an aim to facilitate systems-oriented new drug discovery. Here, we report the second major release of DCDB (Version 2.0), which includes 866 new drug combinations (1363 in total), consisting of 904 distinctive components. These drug combinations are curated from ?140,000 clinical studies and the food and drug administration (FDA) electronic orange book. In this update, DCDB collects 237 unsuccessful drug combinations, which may provide a contrast for systematic discovery of the patterns in successful drug combinations. Database URL: http://www.cls.zju.edu.cn/dcdb/ |