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Related Experiment Videos

CHOP proteins into structural domain-like fragments.

Jinfeng Liu1, Burkhard Rost

  • 1CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York, USA.

Proteins
|April 23, 2004
PubMed
Summary

We developed CHOP to dissect proteins into domain-like fragments, revealing that most proteins contain multiple domains. This method and its clustering scheme CLUP provide a valuable resource for structural genomics.

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Area of Science:

  • Proteomics
  • Structural Biology
  • Bioinformatics

Background:

  • Protein dissection into functional domains is crucial for understanding structure-function relationships.
  • Existing methods may not adequately group proteins based on structural similarity.

Purpose of the Study:

  • To develop a novel method (CHOP) for dissecting proteins into domain-like fragments.
  • To analyze the characteristics of these fragments and develop a clustering scheme (CLUP) for grouping them.

Main Methods:

  • CHOP (protein dissection) utilizes experimental data (PDB), expert annotations (Pfam-A), and known protein termini.
  • CLUP (clustering) groups CHOP fragments based on shared structural cores.
  • Analysis covered 62 proteomes.

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Main Results:

  • >70% of dissected proteins contained multiple fragments.
  • Average domain size is ~100 residues, consistent across species and PDB.
  • Three-fourths of domains are <210 residues.
  • CLUP successfully clustered fragments, identifying >63,000 multi-member and >118,000 single-member clusters.
  • 24% of fragments were found in multiple clusters.

Conclusions:

  • CHOP provides a significant resource for functional and structural genomics.
  • CLUP effectively groups protein fragments, overcoming limitations of previous methods.
  • Structural genomics initiatives may need to target over 30,000 fragments to cover multi-member clusters.