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Checkpoint therapeutic target database (CKTTD): the first comprehensive database for checkpoint targets and their
Yixiao Zhang1, Yuan Yao2, Peng Chen2
1Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Background:
Checkpoint targets play a key role in tumor-mediated immune escape and therefore are critical for cancer immunotherapy. Unfortunately, there is a lack of bioinformatics resource that compile all the checkpoint targets for translational research and drug discovery in immuno-oncology.
Methods:
To this end, we developed checkpoint therapeutic target database (CKTTD), the first comprehensive database for immune checkpoint targets (proteins, miRNAs and LncRNAs) and their modulators. A scoring system was adopted to filter more relevant targets with high confidence. In addition, a few biological databases such as Oncomine, Drugbank, miRBase and Lnc2Cancer database were integrated into CKTTD to provide an in-depth information. Moreover, we computed and provided ligand-binding site information for all the targets which may support bench scientists for drug discovery efforts.
Results:
In total, CKTTD compiles 105 checkpoint protein targets, 53 modulators (small-molecules and antibody), 30 miRNAs and 18 LncRNAs in cancer immunotherapy with validated experimental evidences curated from 10 649 literatures via an enhanced text-mining system.
Conclusions:
In conclusion, the CKTTD may serve as a useful platform for the research of cancer immunotherapy and drug discovery. The CKTTD database is freely available to public at http://www.ckttdb.org/.
Insights
This study introduces the Checkpoint Therapeutic Target Database (CKTTD), a comprehensive resource for immune checkpoint targets and modulators crucial for cancer immunotherapy research and drug discovery.
Area of Science:
- Immunology
- Bioinformatics
- Oncology
Background:
- Immune checkpoint targets are vital for overcoming tumor-mediated immune escape in cancer immunotherapy.
- A significant gap exists in bioinformatics resources for identifying checkpoint targets in immuno-oncology research and drug development.
Purpose of the Study:
- To develop the Checkpoint Therapeutic Target Database (CKTTD), the first integrated resource for immune checkpoint targets (proteins, miRNAs, LncRNAs) and their modulators.
- To facilitate translational research and drug discovery in immuno-oncology by providing curated and analyzed data.
Main Methods:
- Developed the CKTTD, incorporating a scoring system for high-confidence target identification.
- Integrated data from existing biological databases (Oncomine, Drugbank, miRBase, Lnc2Cancer).
- Utilized an enhanced text-mining system to curate data from 10,649 literature sources and computed ligand-binding site information.
Main Results:
- CKTTD compiles 105 checkpoint protein targets, 53 modulators (small molecules and antibodies), 30 miRNAs, and 18 LncRNAs relevant to cancer immunotherapy.
- Validated experimental evidence supports the curated data.
- Ligand-binding site information is provided for all targets to aid drug discovery.
Conclusions:
- CKTTD serves as a valuable, freely accessible platform for advancing cancer immunotherapy research and drug discovery.
- The database is available at http://www.ckttdb.org/.
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