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TRIP Database: a manually curated database of protein-protein interactions for mammalian TRP channels

Young-Cheul Shin1, Soo-Yong Shin, Insuk So

  • 1Department of Physiology, Seoul National University College of Medicine, Seoul 110-799, Korea.

Nucleic Acids Research
|September 21, 2010
PubMed

Insights

The TRIP Database offers a comprehensive resource for understanding protein interactions with Transient Receptor Potential (TRP) channels. This manually curated database aids research into TRP channel functions and their links to various human diseases.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Bioinformatics

Background:

  • Transient Receptor Potential (TRP) channels are crucial Ca(2+)-permeable cation channels involved in cellular signaling.
  • Dysregulation of TRP channel activity is linked to significant human diseases, including neurological disorders, cardiovascular disease, and cancer.

Purpose of the Study:

  • To develop a manually curated database, TRIP (TRansient receptor potential channel-Interacting Protein) Database, detailing protein-protein interactions (PPIs) of mammalian TRP channels.
  • To provide a comprehensive resource for researchers to understand the molecular network of TRP channels in biological and disease processes.

Main Methods:

  • Systematic curation of 277 peer-reviewed scientific literature.
  • Data compilation of protein-protein interactions, TRP channels, and interacting cellular proteins.
  • Development of user-friendly web interfaces with search engines and interaction mapping.

Main Results:

  • The TRIP Database currently documents 490 PPI pairs involving 28 TRP channels and 297 cellular proteins.
  • PPI data is categorized into screening, validation, characterization, and functional consequence.
  • Detailed information on analytical methods, experimental resources, and cross-referencing to external databases is provided.

Conclusions:

  • The TRIP Database serves as a valuable tool for researchers investigating the complex molecular regulatory network of TRP channels.
  • Enhanced understanding of TRP channel interactions can facilitate research into disease mechanisms and therapeutic strategies.

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