| URL: | http://biotechlab.fudan.edu.cn/database/drugsig |
| Full name: | drug induced gene signature for drug repositioning |
| Description: | DugSig is a web accessible database for computational drug repurposing studies. The current version of DrugSig includes more than 1300 drugs, 6000 plus signatures and 800 available targets (till Jan, 2017). The database can be queried either by simply using keywords or by combinatorial conditions searches. DugSig will not only aid in expanding our current understanding of drugs and their mechanisms of action but may have implications in the development of new indications for existed drugs. |
| Year founded: | 2017 |
| Last update: | |
| Version: | 1.0 |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Fudan University |
| Address: | School of Life Sciences, Fudan University, Shanghai, China |
| City: | Shanghai |
| Province/State: | Shanghai |
| Country/Region: | China |
| Contact name (PI/Team): | Qingshan Huang |
| Contact email (PI/Helpdesk): | qshuang@fudan.edu.cn |
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DrugSig: A resource for computational drug repositioning utilizing gene expression signatures. [PMID: 28562632]
Computational drug repositioning has been proved as an effective approach to develop new drug uses. However, currently existing strategies strongly rely on drug response gene signatures which scattered in separated or individual experimental data, and resulted in low efficient outputs. So, a fully drug response gene signatures database will be very helpful to these methods. We collected drug response microarray data and annotated related drug and targets information from public databases and scientific literature. By selecting top 500 up-regulated and down-regulated genes as drug signatures, we manually established the DrugSig database. Currently DrugSig contains more than 1300 drugs, 7000 microarray and 800 targets. Moreover, we developed the signature based and target based functions to aid drug repositioning. The constructed database can serve as a resource to quicken computational drug repositioning. Database URL: http://biotechlab.fudan.edu.cn/database/drugsig/. |