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HCDT: an integrated highly confident drug-target resource
Jiaqi Chen1, Zhengxin Chen1, Rufei Chen1
1Key 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.
Database : the Journal of Biological Databases and Curation
|November 24, 2022
Summary
A new Highly Confident Drug-Target (HCDT) database integrates eight sources, offering a comprehensive resource for drug discovery and analysis. This curated database enhances understanding of drug mechanisms and interactions.
Area of Science:
- Biomedical Informatics
- Pharmacology
- Genomics
Background:
- Existing drug-target databases are often fragmented, incomplete, and lack uniformity.
- Accurate drug-target associations are crucial for drug discovery, repositioning, and synergy prediction.
Purpose of the Study:
- To develop a comprehensive and reliable database of highly confident drug-target associations.
- To provide a unified, publicly accessible resource for researchers in drug discovery and related fields.
Main Methods:
- Integration of data from eight distinct drug-related databases.
- Collection, filtering, and supplementation of drugs, target genes, and experimentally validated associations.
- Construction of the Highly Confident Drug-Target (HCDT) database.
Main Results:
- The HCDT database contains over 500,000 associations between nearly 300,000 drugs and 5,600 target genes.
- HCDT offers a significantly larger and more comprehensive collection of drugs, targets, and associations compared to individual databases.
- The database is normative, publicly available, and designed for ease of searching, browsing, and downloading.
Conclusions:
- The HCDT database serves as a valuable, integrated resource for drug discovery, functional mechanism analysis, and pathway mining.
- It facilitates research in predicting drug synergy and understanding drug-target interactions.
- The database's accessibility and comprehensiveness support advancements in pharmaceutical research and development.
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