Some of the most interesting CASP11 targets through the eyes of their authors

Andriy Kryshtafovych1, John Moult2, Arnaud Baslé3

  • 1Genome Center, University of California, Davis, California, 95616.

Proteins
|October 17, 2015
PubMed

Insights

The Critical Assessment of protein Structure Prediction (CASP) relies on experimentalists providing protein targets. CASP11 crystallographers reviewed their targets' biological significance and structural accuracy in predictions.

Area of Science:

  • Structural biology
  • Biophysics
  • Computational biology

Background:

  • The Critical Assessment of protein Structure Prediction (CASP) is a community effort crucial for advancing protein structure prediction.
  • CASP relies on experimentally determined protein structures provided as targets by the structural biology community.
  • CASP11 specifically utilized targets from crystallographers, highlighting the collaboration between experimental and computational fields.

Purpose of the Study:

  • To evaluate the functional and biological significance of protein targets used in CASP11.
  • To identify and discuss unique structural features of these target proteins.
  • To assess the accuracy of protein structure predictions submitted to CASP11 concerning these features.

Main Methods:

  • Selection of crystallographers who provided targets for CASP11.
  • Discussion of the biological and functional roles of selected target proteins.
  • Analysis of the structural characteristics of target proteins.
  • Comparison of predicted structures with experimental data for CASP11 targets.

Main Results:

  • Crystallographers provided insights into the biological relevance of CASP11 targets.
  • Key structural features of target proteins were highlighted.
  • An assessment was made on how well CASP11 predictions captured these structural and functional aspects.

Conclusions:

  • The experimental structural biology community is vital for the success of CASP.
  • Understanding the biological significance and structural nuances of prediction targets is essential for evaluating prediction accuracy.
  • The review provides valuable feedback for improving protein structure prediction methodologies.

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