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Updated: Jul 11, 2026
16:41
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Assessment of CASP7 predictions for template-based modeling targets
Jürgen Kopp1, Lorenza Bordoli, James N D Battey
1Biozentrum, University of Basel, Switzerland.
Proteins
|September 27, 2007
Summary
This study evaluated template-based protein modeling methods from CASP7. Top predictors significantly improved accuracy over single templates, demonstrating progress in protein structure prediction.
Area of Science:
- Computational Biology
- Structural Biology
- Bioinformatics
Background:
- Protein structure prediction is crucial for understanding biological function.
- Template-based modeling relies on known protein structures to predict new ones.
- The Critical Assessment of Techniques for Protein Structure Prediction (CASP) benchmarks prediction methods.
Purpose of the Study:
- To assess the accuracy of template-based modeling techniques in CASP7.
- To identify highly accurate prediction groups and evaluate their methodologies.
- To determine if automated methods surpass single template structures.
Main Methods:
- Assessed 108 target protein domains using numerical measures for backbone and structural alignment.
- Evaluated accuracy of modeled hydrogen bond interactions and cofactor binding sites.
- Compared prediction accuracy against the best available single template structure.
Main Results:
- Identified specific groups with statistically significant higher prediction accuracy.
- Top predictors generated models closer to experimental structures than single templates for many targets.
- Assessed the accuracy of per-residue error estimates in predictions.
Conclusions:
- Template-based modeling methods showed significant progress in accuracy during CASP7.
- The best performing groups demonstrated the potential for practical applications in structural biology.
- Further improvements in modeling accuracy and error estimation are beneficial.
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