Dylan Chivian and David E. Kim contributed equally to this paper.
Automated Servers: Prediction Report
Prediction of CASP6 structures using automated robetta protocols†
Article first published online: 26 SEP 2005
DOI: 10.1002/prot.20733
Copyright © 2005 Wiley-Liss, Inc.
Issue

Proteins: Structure, Function, and Bioinformatics
Supplement: Sixth Meeting on the Critical Assessment of Techniques for Protein Structure Prediction
Volume 61, Issue Supplement 7, pages 157–166, 2005
Additional Information
How to Cite
Chivian, D., Kim, D. E., Malmström, L., Schonbrun, J., Rohl, C. A. and Baker, D. (2005), Prediction of CASP6 structures using automated robetta protocols. Proteins: Structure, Function, and Bioinformatics, 61: 157–166. doi: 10.1002/prot.20733
- †
This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version.
Publication History
- Issue published online: 29 DEC 2005
- Article first published online: 26 SEP 2005
- Manuscript Accepted: 24 JUN 2005
- Manuscript Received: 15 APR 2005
Funded by
- NIH/NIGMS SGPP
- HHMI
Keywords:
- Rosetta;
- fragment assembly;
- de novo modeling;
- homology modeling;
- parametric alignment ensemble
Abstract
The Robetta server and revised automatic protocols were used to predict structures for CASP6 targets. Robetta is a publicly available protein structure prediction server (http://robetta.bakerlab.org/ that uses the Rosetta de novo and homology modeling structure prediction methods. We incorporated some of the lessons learned in the CASP5 experiment into the server prior to participating in CASP6. We additionally tested new ideas that were amenable to full-automation with an eye toward improving the server. We find that the Robetta server shows the greatest promise for the more challenging targets. The most significant finding from CASP5, that automated protocols can be roughly comparable in ability with the better human-intervention predictors, is repeated here in CASP6. Proteins 2005;Suppl 7:157–166. © 2005 Wiley-Liss, Inc.

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