Improved de novo structure prediction in CASP11 by incorporating coevolution information into Rosetta. (24th February 2016)
- Record Type:
- Journal Article
- Title:
- Improved de novo structure prediction in CASP11 by incorporating coevolution information into Rosetta. (24th February 2016)
- Main Title:
- Improved de novo structure prediction in CASP11 by incorporating coevolution information into Rosetta
- Authors:
- Ovchinnikov, Sergey
Kim, David E.
Wang, Ray Yu‐Ruei
Liu, Yuan
DiMaio, Frank
Baker, David - Abstract:
- ABSTRACT: We describe CASP11 de novo blind structure predictions made using the Rosetta structure prediction methodology with both automatic and human assisted protocols. Model accuracy was generally improved using coevolution derived residue–residue contact information as restraints during Rosetta conformational sampling and refinement, particularly when the number of sequences in the family was more than three times the length of the protein. The highlight was the human assisted prediction of T0806, a large and topologically complex target with no homologs of known structure, which had unprecedented accuracy—<3.0 Å root‐mean‐square deviation (RMSD) from the crystal structure over 223 residues. For this target, we increased the amount of conformational sampling over our fully automated method by employing an iterative hybridization protocol. Our results clearly demonstrate, in a blind prediction scenario, that coevolution derived contacts can considerably increase the accuracy of template‐free structure modeling. Proteins 2016; 84(Suppl 1):67–75. © 2015 Wiley Periodicals, Inc.
- Is Part Of:
- Proteins. Volume 84(2016)Supplement 1
- Journal:
- Proteins
- Issue:
- Volume 84(2016)Supplement 1
- Issue Display:
- Volume 84, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 84
- Issue:
- 1
- Issue Sort Value:
- 2016-0084-0001-0000
- Page Start:
- 67
- Page End:
- 75
- Publication Date:
- 2016-02-24
- Subjects:
- protein structure prediction -- rosetta -- ab initio prediction -- coevolution -- contact prediction
Proteins -- Periodicals
Proteins -- Periodicals
572.6 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/prot.24974 ↗
- Languages:
- English
- ISSNs:
- 0887-3585
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6936.164000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6986.xml