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Identifying Protein-protein Interaction Sites Using Peptide Arrays
07:44

Identifying Protein-protein Interaction Sites Using Peptide Arrays

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A comprehensive manually curated protein-protein interaction database for the Death Domain superfamily

Dongseop Kwon1, Jong Hwan Yoon, Soo-Yong Shin

  • 1Department of Computer Engineering, Myongji University, Gyeonggi-do 449-728, South Korea.

Nucleic Acids Research
|December 3, 2011
PubMed

Insights

Researchers created the DD database to map protein-protein interactions (PPIs) within the Death Domain (DD) superfamily. This resource aids understanding of DD superfamily roles in cell signaling and human diseases.

Area of Science:

  • Molecular Biology
  • Biochemistry
  • Genomics

Background:

  • The Death Domain (DD) superfamily is a large group of protein interaction modules crucial for apoptosis, inflammation, necrosis, and immune signaling.
  • Dysregulation of DD superfamily signaling is implicated in diseases like cancer, neurodegenerative disorders, and immunological conditions, highlighting their clinical significance.

Purpose of the Study:

  • To develop a comprehensive, manually curated database of protein-protein interactions (PPIs) for the Death Domain (DD) superfamily.
  • To facilitate a deeper understanding of the molecular mechanisms underlying DD superfamily functions in biological processes and disease pathogenesis.

Main Methods:

  • Manual curation of 295 peer-reviewed publications relevant to the DD superfamily.
  • Systematic extraction and documentation of protein-protein interaction (PPI) data within the DD superfamily.
  • Database development (http://www.deathdomain.org) to store and present curated information.

Main Results:

  • The DD database currently documents 175 PPI pairs involving 99 DD superfamily proteins.
  • The database provides detailed information on DD superfamily proteins, their interactions, analytical methods, experimental resources, and domain structures.
  • The resource consolidates information from extensive literature review.

Conclusions:

  • The DD database serves as a valuable and definitive tool for researchers.
  • It aids in elucidating the complex signaling networks mediated by the DD superfamily.
  • Understanding these networks is critical for advancing research in both basic biology and clinical medicine.

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