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Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings
[Image: see text] Symmetric protein dimers, trimers, and higher-order cyclic oligomers play key roles in many biological processes. However, structural studies of oligomeric systems by solution NMR can be difficult due to slow tumbling of the system and the difficulty in identifying NOE interactions...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3080108/ https://www.ncbi.nlm.nih.gov/pubmed/21466200 http://dx.doi.org/10.1021/ja111318m |
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author | Sgourakis, Nikolaos G. Lange, Oliver F. DiMaio, Frank André, Ingemar Fitzkee, Nicholas C. Rossi, Paolo Montelione, Gaetano T. Bax, Ad Baker, David |
author_facet | Sgourakis, Nikolaos G. Lange, Oliver F. DiMaio, Frank André, Ingemar Fitzkee, Nicholas C. Rossi, Paolo Montelione, Gaetano T. Bax, Ad Baker, David |
author_sort | Sgourakis, Nikolaos G. |
collection | PubMed |
description | [Image: see text] Symmetric protein dimers, trimers, and higher-order cyclic oligomers play key roles in many biological processes. However, structural studies of oligomeric systems by solution NMR can be difficult due to slow tumbling of the system and the difficulty in identifying NOE interactions across protein interfaces. Here, we present an automated method (RosettaOligomers) for determining the solution structures of oligomeric systems using only chemical shifts, sparse NOEs, and domain orientation restraints from residual dipolar couplings (RDCs) without a need for a previously determined structure of the monomeric subunit. The method integrates previously developed Rosetta protocols for solving the structures of monomeric proteins using sparse NMR data and for predicting the structures of both nonintertwined and intertwined symmetric oligomers. We illustrated the performance of the method using a benchmark set of nine protein dimers, one trimer, and one tetramer with available experimental data and various interface topologies. The final converged structures are found to be in good agreement with both experimental data and previously published high-resolution structures. The new approach is more readily applicable to large oligomeric systems than conventional structure-determination protocols, which often require a large number of NOEs, and will likely become increasingly relevant as more high-molecular weight systems are studied by NMR. |
format | Text |
id | pubmed-3080108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-30801082011-04-20 Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings Sgourakis, Nikolaos G. Lange, Oliver F. DiMaio, Frank André, Ingemar Fitzkee, Nicholas C. Rossi, Paolo Montelione, Gaetano T. Bax, Ad Baker, David J Am Chem Soc [Image: see text] Symmetric protein dimers, trimers, and higher-order cyclic oligomers play key roles in many biological processes. However, structural studies of oligomeric systems by solution NMR can be difficult due to slow tumbling of the system and the difficulty in identifying NOE interactions across protein interfaces. Here, we present an automated method (RosettaOligomers) for determining the solution structures of oligomeric systems using only chemical shifts, sparse NOEs, and domain orientation restraints from residual dipolar couplings (RDCs) without a need for a previously determined structure of the monomeric subunit. The method integrates previously developed Rosetta protocols for solving the structures of monomeric proteins using sparse NMR data and for predicting the structures of both nonintertwined and intertwined symmetric oligomers. We illustrated the performance of the method using a benchmark set of nine protein dimers, one trimer, and one tetramer with available experimental data and various interface topologies. The final converged structures are found to be in good agreement with both experimental data and previously published high-resolution structures. The new approach is more readily applicable to large oligomeric systems than conventional structure-determination protocols, which often require a large number of NOEs, and will likely become increasingly relevant as more high-molecular weight systems are studied by NMR. American Chemical Society 2011-04-05 2011-04-27 /pmc/articles/PMC3080108/ /pubmed/21466200 http://dx.doi.org/10.1021/ja111318m Text en Copyright © 2011 American Chemical Society http://pubs.acs.org This is an open-access article distributed under the ACS AuthorChoice Terms & Conditions. Any use of this article, must conform to the terms of that license which are available at http://pubs.acs.org. |
spellingShingle | Sgourakis, Nikolaos G. Lange, Oliver F. DiMaio, Frank André, Ingemar Fitzkee, Nicholas C. Rossi, Paolo Montelione, Gaetano T. Bax, Ad Baker, David Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings |
title | Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings |
title_full | Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings |
title_fullStr | Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings |
title_full_unstemmed | Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings |
title_short | Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings |
title_sort | determination of the structures of symmetric protein oligomers from nmr chemical shifts and residual dipolar couplings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3080108/ https://www.ncbi.nlm.nih.gov/pubmed/21466200 http://dx.doi.org/10.1021/ja111318m |
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