Caspase cleavage sites in the human proteome: CaspDB, a database of predicted substrates

Sonu Kumar1, Bram J van Raam1, Guy S Salvesen1

  • 1Sanford Burnham Medical Research Institute, La Jolla, California, United States of America.

Plos One
|October 21, 2014
PubMed

Insights

Researchers developed a new method to predict caspase cleavage sites in proteins, aiding the discovery of caspase substrates involved in apoptosis and inflammation. The CaspDB database offers insights into cleavage motif conservation and disease-associated genetic variations.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Proteomics

Background:

  • Caspases are critical cysteine proteases regulating apoptosis and inflammation.
  • Identifying caspase substrates is essential for understanding cellular processes but remains challenging.
  • Over 1500 human caspase substrates are known, with ongoing discoveries.

Purpose of the Study:

  • To develop an accurate computational method for predicting caspase cleavage sites.
  • To create a comprehensive database of predicted caspase cleavage positions in human proteins.

Main Methods:

  • Utilized the MerCASBA database of experimentally validated caspase substrates.
  • Employed a Random Forest classification algorithm for prediction.
  • Integrated predictions with Uniprot human proteome and orthologs.

Main Results:

  • The developed prediction method demonstrated superior ranking of cleavage positions compared to existing approaches.
  • Generated CaspDB, a relational database of in silico predicted caspase cleavage sites.
  • CaspDB includes data on cleavage motif conservation, disease-associated SNPs, and PTMs.

Conclusions:

  • The novel prediction method and CaspDB database significantly advance the identification of caspase substrates.
  • CaspDB facilitates research into caspase function, disease mechanisms, and substrate regulation.

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