HCDT: an integrated highly confident drug-target resource

被引：2

作者：

Chen, Jiaqi ^{[1
]}

Chen, Zhengxin ^{[1
]}

Chen, Rufei ^{[1
]}

Feng, Dehua ^{[1
]}

Li, Tianyi ^{[1
]}

Han, Huirui ^{[1
]}

Bi, Xiaoman ^{[1
]}

Wang, Zhenzhen ^{[1
]}

Li, Kongning ^{[1
]}

Li, Yongsheng ^{[1
]}

Li, Xia ^{[1
,2
]}

Wang, Limei ^{[1
]}

Li, Jin ^{[1
,2
]}

机构：

[1] Hainan Med Univ, Coll Biomed Informat & Engn, Minist Educ, Key Lab Trop Translat Med,Bioinformat Major Dis Sc, Haikou 571199, Peoples R China

[2] Harbin Med Univ, Coll Bioinformat Sci & Technol, Harbin 150086, Peoples R China

来源：

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION | 2022年 / 2022卷

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1093/database/baac101

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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:

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页数：7

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