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Improved de novo structure prediction in CASP 11 by incorporating coevolution information into Rosetta
Author(s) -
Ovchinnikov Sergey,
Kim David E.,
Wang Ray YuRuei,
Liu Yuan,
DiMaio Frank,
Baker David
Publication year - 2016
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.24974
Subject(s) - coevolution , computer science , sampling (signal processing) , protein structure , artificial intelligence , algorithm , biology , evolutionary biology , biochemistry , filter (signal processing) , computer vision
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.