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.

Abstract

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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