HCDT: an integrated highly confident drug-target resource

作者：Chen, Jiaqi; Chen, Zhengxin; Chen, Rufei; Feng, Dehua; Li, Tianyi; Han, Huirui; Bi, Xiaoman; Wang, Zhenzhen; Li, Kongning; Li, Yongsheng; Li, Xia^*; Wang, Limei^*; Li, Jin^*

来源：Database-The Journal of Biological Databases and Curation, 2022, 2022: baac101.

DOI：10.1093/database/baac101

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: ) 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:

• 单位
  海南医学院; 哈尔滨医科大学