| URL: | http://hainmu-biobigdata.com/hcdt |
| Full name: | Highly Confident Drug-Target Database |
| Description: | HCDT is a combined database that provides validated associations between drugs and target genes. The current version of HCDT includes 299,458 drugs, 5,618 target genes and 500,681 drug-target associations. The data are collected from 8 databases such as BindingDB, ChEMBL, Drugbank, etc. The SMILES Format is used to identify each drug molecule and the official gene symbol is used to identify each target gene. |
| Year founded: | 2022 |
| Last update: | |
| Version: | v1.0 |
| Accessibility: |
Accessible
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| Country/Region: | China |
| Data type: | |
| Data object: |
NA
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| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | Hainan Medical University |
| Address: | Key Laboratory of Tropical Translational Medicine of Ministry of Education, Bioinformatics for Major Diseases Science Innovation Group, College of Biomedical Informatics and Engineering, Hainan Medical University, Haikou 571199, China. |
| City: | Haikou |
| Province/State: | |
| Country/Region: | China |
| Contact name (PI/Team): | Jin Li |
| Contact email (PI/Helpdesk): | lijin@hainmc.edu.cn |
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HCDT: an integrated highly confident drug-target resource. [PMID: 36420558]
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. |