| URL: | http://gear.comp-sysbio.org |
| Full name: | Genomic Elements Associated with drug Resistance |
| Description: | The database of Genomic Elements Associated with drug Resistance (GEAR) aims to provide comprehensive information about genomic patterns associated with resistance to human drugs, including gene or microRNA mutations responsible for drug resistance. |
| Year founded: | 2017 |
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| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Tongji University |
| Address: | Department of Computer Science and Technology, Tongji University, Shanghai 201804, China |
| City: | Shanghai |
| Province/State: | Shanghai |
| Country/Region: | China |
| Contact name (PI/Team): | Xing-Ming Zhao |
| Contact email (PI/Helpdesk): | xm_zhao@tongji.edu.cn |
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GEAR: A database of Genomic Elements Associated with drug Resistance. [PMID: 28294141]
Drug resistance is becoming a serious problem that leads to the failure of standard treatments, which is generally developed because of genetic mutations of certain molecules. Here, we present GEAR (A database of Genomic Elements Associated with drug Resistance) that aims to provide comprehensive information about genomic elements (including genes, single-nucleotide polymorphisms and microRNAs) that are responsible for drug resistance. Right now, GEAR contains 1631 associations between 201 human drugs and 758 genes, 106 associations between 29 human drugs and 66 miRNAs, and 44 associations between 17 human drugs and 22 SNPs. These relationships are firstly extracted from primary literature with text mining and then manually curated. The drug resistome deposited in GEAR provides insights into the genetic factors underlying drug resistance. In addition, new indications and potential drug combinations can be identified based on the resistome. The GEAR database can be freely accessed through http://gear.comp-sysbio.org. |