Literature DB >> 26677056

Improved de novo structure prediction in CASP11 by incorporating coevolution information into Rosetta.

Sergey Ovchinnikov1,2, David E Kim2,3, Ray Yu-Ruei Wang1,2, Yuan Liu1,2, Frank DiMaio1,2, David Baker4,5,6.   

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. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  ab initio prediction; coevolution; contact prediction; protein structure prediction; rosetta

Mesh:

Substances:

Year:  2016        PMID: 26677056      PMCID: PMC5490371          DOI: 10.1002/prot.24974

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  37 in total

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  48 in total

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7.  Protein homology model refinement by large-scale energy optimization.

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10.  Ensembling multiple raw coevolutionary features with deep residual neural networks for contact-map prediction in CASP13.

Authors:  Yang Li; Chengxin Zhang; Eric W Bell; Dong-Jun Yu; Yang Zhang
Journal:  Proteins       Date:  2019-08-22
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