Abstract
We describe predictions made using the Rosetta structure prediction methodology for both template-based modeling and free modeling categories in the Seventh Critical Assessment of Techniques for Protein Structure Prediction. For the first time, aggressive sampling and all-atom refinement could be carried out for the majority of targets, an advance enabled by the Rosetta@home distributed computing network. Template-based modeling predictions using an iterative refinement algorithm improved over the best existing templates for the majority of proteins with less than 200 residues. Free modeling methods gave near-atomic accuracy predictions for several targets under 100 residues from all secondary structure classes. These results indicate that refinement with an all-atom energy function, although computationally expensive, is a powerful method for obtaining accurate structure predictions.
Original language | English (US) |
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Pages (from-to) | 118-128 |
Number of pages | 11 |
Journal | Proteins: Structure, Function and Genetics |
Volume | 69 |
Issue number | SUPPL. 8 |
DOIs | |
State | Published - 2007 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Structural Biology
- Biochemistry
- Molecular Biology
Keywords
- All-atom refinement
- CASP
- Fragment insertion
- Free modeling
- Protein structure prediction
- Rosetta
- Template-based modeling