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Large-scale determination of previously unsolved protein structures using evolutionary information.


ABSTRACT: The prediction of the structures of proteins without detectable sequence similarity to any protein of known structure remains an outstanding scientific challenge. Here we report significant progress in this area. We first describe de novo blind structure predictions of unprecendented accuracy we made for two proteins in large families in the recent CASP11 blind test of protein structure prediction methods by incorporating residue-residue co-evolution information in the Rosetta structure prediction program. We then describe the use of this method to generate structure models for 58 of the 121 large protein families in prokaryotes for which three-dimensional structures are not available. These models, which are posted online for public access, provide structural information for the over 400,000 proteins belonging to the 58 families and suggest hypotheses about mechanism for the subset for which the function is known, and hypotheses about function for the remainder.

SUBMITTER: Ovchinnikov S 

PROVIDER: S-EPMC4602095 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Large-scale determination of previously unsolved protein structures using evolutionary information.

Ovchinnikov Sergey S   Kinch Lisa L   Park Hahnbeom H   Liao Yuxing Y   Pei Jimin J   Kim David E DE   Kamisetty Hetunandan H   Grishin Nick V NV   Baker David D  

eLife 20150903


The prediction of the structures of proteins without detectable sequence similarity to any protein of known structure remains an outstanding scientific challenge. Here we report significant progress in this area. We first describe de novo blind structure predictions of unprecendented accuracy we made for two proteins in large families in the recent CASP11 blind test of protein structure prediction methods by incorporating residue-residue co-evolution information in the Rosetta structure predicti  ...[more]

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