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Large-scale determination of previously unsolved protein structures using evolutionary information
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 mad...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602095/ https://www.ncbi.nlm.nih.gov/pubmed/26335199 http://dx.doi.org/10.7554/eLife.09248 |
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author | Ovchinnikov, Sergey Kinch, Lisa Park, Hahnbeom Liao, Yuxing Pei, Jimin Kim, David E Kamisetty, Hetunandan Grishin, Nick V Baker, David |
author_facet | Ovchinnikov, Sergey Kinch, Lisa Park, Hahnbeom Liao, Yuxing Pei, Jimin Kim, David E Kamisetty, Hetunandan Grishin, Nick V Baker, David |
author_sort | Ovchinnikov, Sergey |
collection | PubMed |
description | 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. DOI: http://dx.doi.org/10.7554/eLife.09248.001 |
format | Online Article Text |
id | pubmed-4602095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-46020952015-10-14 Large-scale determination of previously unsolved protein structures using evolutionary information Ovchinnikov, Sergey Kinch, Lisa Park, Hahnbeom Liao, Yuxing Pei, Jimin Kim, David E Kamisetty, Hetunandan Grishin, Nick V Baker, David eLife Biophysics and Structural Biology 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. DOI: http://dx.doi.org/10.7554/eLife.09248.001 eLife Sciences Publications, Ltd 2015-09-03 /pmc/articles/PMC4602095/ /pubmed/26335199 http://dx.doi.org/10.7554/eLife.09248 Text en © 2015, Ovchinnikov et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Biophysics and Structural Biology Ovchinnikov, Sergey Kinch, Lisa Park, Hahnbeom Liao, Yuxing Pei, Jimin Kim, David E Kamisetty, Hetunandan Grishin, Nick V Baker, David Large-scale determination of previously unsolved protein structures using evolutionary information |
title | Large-scale determination of previously unsolved protein structures using evolutionary information |
title_full | Large-scale determination of previously unsolved protein structures using evolutionary information |
title_fullStr | Large-scale determination of previously unsolved protein structures using evolutionary information |
title_full_unstemmed | Large-scale determination of previously unsolved protein structures using evolutionary information |
title_short | Large-scale determination of previously unsolved protein structures using evolutionary information |
title_sort | large-scale determination of previously unsolved protein structures using evolutionary information |
topic | Biophysics and Structural Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602095/ https://www.ncbi.nlm.nih.gov/pubmed/26335199 http://dx.doi.org/10.7554/eLife.09248 |
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