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HCDT: an integrated highly confident drug-target resource.

Jiaqi ChenZhengxin ChenRufei ChenDehua FengTianyi LiHuirui HanXiaoman BiZhenzhen WangKongning LiYongsheng LiXia LiLimei WangJin Li
Published in: Database : the journal of biological databases and curation (2022)
Drug-target association plays an important role in drug discovery, drug repositioning, drug synergy prediction, etc. Currently, a lot of drug-related databases, such as DrugBank and BindingDB, have emerged. However, these databases are separate, incomplete and non-uniform with different criteria. Here, we integrated eight drug-related databases; collected, filtered and supplemented drugs, target genes and experimentally validated (highly confident) associations and built a highly confident drug-target (HCDT: http://hainmu-biobigdata.com/hcdt) database. HCDT database includes 500 681 HCDT associations between 299 458 drugs and 5618 target genes. Compared to individual databases, HCDT database contains 1.1 to 254.2 times drugs, 1.8-5.5 times target genes and 1.4-27.7 times drug-target associations. It is normative, publicly available and easy for searching, browsing and downloading. Together with multi-omics data, it will be a good resource in analyzing the drug functional mechanism, mining drug-related biological pathways, predicting drug synergy, etc. Database URL: http://hainmu-biobigdata.com/hcdt.
Keyphrases
  • adverse drug
  • drug induced
  • drug discovery
  • big data
  • genome wide
  • emergency department
  • gene expression
  • dna methylation
  • electronic health record
  • data analysis
  • contrast enhanced