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CASP8 results in context of previous experiments
Andriy Kryshtafovych1, Krzysztof Fidelis, John Moult
1Genome Center, University of California, Davis, California 95616, USA. akryshtafovych@ucdavis.edu
Proteins
|September 2, 2009
Summary
The Critical Assessment of protein Structure Prediction (CASP8) showed no overall quality improvement in protein structure modeling. However, accuracy improved for regions without templates and reduced errors from selecting non-optimal models.
Area of Science:
- Computational Biology
- Structural Biology
- Bioinformatics
Background:
- The Critical Assessment of protein Structure Prediction (CASP) is a community-wide experiment for protein structure modeling.
- Previous CASP experiments have established benchmarks for evaluating protein structure prediction methods.
Purpose of the Study:
- To analyze the quality of protein structure models submitted to CASP8.
- To compare CASP8 model quality with previous CASP experiments using consistent evaluation measures.
Main Methods:
- Analysis of structure models submitted to CASP8.
- Comparison with models from previous CASP experiments.
- Application of standard CASP evaluation measures.
Main Results:
- No noticeable advances in overall method quality across difficulty categories.
- Increased instances where alignment accuracy surpassed the best template.
- Improved modeling accuracy for regions absent in the best template.
- Decreased loss in quality due to selection of non-optimal best models.
Conclusions:
- While overall progress was not evident, CASP8 demonstrated specific improvements in protein structure modeling.
- These advancements indicate progress in handling template-free regions and optimizing model selection.
