Prediction Report

Free modeling with Rosetta in CASP6†

  1. Philip Bradley1,‡,
  2. Lars Malmström1,‡,
  3. Bin Qian1,‡,
  4. Jack Schonbrun1,‡,
  5. Dylan Chivian1,
  6. David E. Kim1,
  7. Jens Meiler2,
  8. Kira M.S. Misura1,
  9. David Baker1,*

Article first published online: 26 SEP 2005

DOI: 10.1002/prot.20729

Issue

Proteins: Structure, Function, and Bioinformatics

Proteins: Structure, Function, and Bioinformatics

Supplement: Sixth Meeting on the Critical Assessment of Techniques for Protein Structure Prediction

Volume 61, Issue Supplement 7, pages 128–134, 2005

Additional Information

How to Cite

Bradley, P., Malmström, L., Qian, B., Schonbrun, J., Chivian, D., Kim, D. E., Meiler, J., Misura, K. M. and Baker, D. (2005), Free modeling with Rosetta in CASP6. Proteins: Structure, Function, and Bioinformatics, 61: 128–134. doi: 10.1002/prot.20729

Author Information

  1. 1

    University of Washington, Seattle, Washington

  2. 2

    Vanderbilt University, Nashville, Tennesee

  1. ‡

    These authors contributed equally to this article.

*University of Washington, Department of Biochemistry and HHMI, Box 357350, Seattle, WA 98195

  1. †

    The article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version.

Publication History

  1. Issue published online: 29 DEC 2005
  2. Article first published online: 26 SEP 2005
  3. Manuscript Accepted: 22 JUN 2005
  4. Manuscript Received: 22 APR 2005

Funded by

  • Howard Hughes Medical Institute
  • NIH NCRR. Grant Number: P41 RR11823
  • Helen Hay Whitney Foundation
  • NIH SGPP
  • Human Frontier Science Program

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Keywords:

  • protein structure prediction;
  • fragment insertion;
  • Rosetta;
  • CASP;
  • full-atom refinement

Abstract

We describe Rosetta predictions in the Sixth Community-Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP), focusing on the free modeling category. Methods developed since CASP5 are described, and their application to selected targets is discussed. Highlights include improved performance on larger proteins (100–200 residues) and the prediction of a 70-residue alpha–beta protein to near-atomic resolution. Proteins 2005;Suppl 7:128–134. © 2005 Wiley-Liss, Inc.

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