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The PROSECCO server for chemical shift predictions in ordered and disordered proteins
The chemical shifts measured in solution-state and solid-state nuclear magnetic resonance (NMR) are powerful probes of the structure and dynamics of protein molecules. The exploitation of chemical shifts requires methods to correlate these data with the protein structures and sequences. We present h...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711976/ https://www.ncbi.nlm.nih.gov/pubmed/29119515 http://dx.doi.org/10.1007/s10858-017-0145-2 |
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author | Sanz-Hernández, Máximo De Simone, Alfonso |
author_facet | Sanz-Hernández, Máximo De Simone, Alfonso |
author_sort | Sanz-Hernández, Máximo |
collection | PubMed |
description | The chemical shifts measured in solution-state and solid-state nuclear magnetic resonance (NMR) are powerful probes of the structure and dynamics of protein molecules. The exploitation of chemical shifts requires methods to correlate these data with the protein structures and sequences. We present here an approach to calculate accurate chemical shifts in both ordered and disordered proteins using exclusively the information contained in their sequences. Our sequence-based approach, protein sequences and chemical shift correlations (PROSECCO), achieves the accuracy of the most advanced structure-based methods in the characterization of chemical shifts of folded proteins and improves the state of the art in the study of disordered proteins. Our analyses revealed fundamental insights on the structural information carried by NMR chemical shifts of structured and unstructured protein states. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-017-0145-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5711976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-57119762017-12-07 The PROSECCO server for chemical shift predictions in ordered and disordered proteins Sanz-Hernández, Máximo De Simone, Alfonso J Biomol NMR Article The chemical shifts measured in solution-state and solid-state nuclear magnetic resonance (NMR) are powerful probes of the structure and dynamics of protein molecules. The exploitation of chemical shifts requires methods to correlate these data with the protein structures and sequences. We present here an approach to calculate accurate chemical shifts in both ordered and disordered proteins using exclusively the information contained in their sequences. Our sequence-based approach, protein sequences and chemical shift correlations (PROSECCO), achieves the accuracy of the most advanced structure-based methods in the characterization of chemical shifts of folded proteins and improves the state of the art in the study of disordered proteins. Our analyses revealed fundamental insights on the structural information carried by NMR chemical shifts of structured and unstructured protein states. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-017-0145-2) contains supplementary material, which is available to authorized users. Springer Netherlands 2017-11-08 2017 /pmc/articles/PMC5711976/ /pubmed/29119515 http://dx.doi.org/10.1007/s10858-017-0145-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Sanz-Hernández, Máximo De Simone, Alfonso The PROSECCO server for chemical shift predictions in ordered and disordered proteins |
title | The PROSECCO server for chemical shift predictions in ordered and disordered proteins |
title_full | The PROSECCO server for chemical shift predictions in ordered and disordered proteins |
title_fullStr | The PROSECCO server for chemical shift predictions in ordered and disordered proteins |
title_full_unstemmed | The PROSECCO server for chemical shift predictions in ordered and disordered proteins |
title_short | The PROSECCO server for chemical shift predictions in ordered and disordered proteins |
title_sort | prosecco server for chemical shift predictions in ordered and disordered proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711976/ https://www.ncbi.nlm.nih.gov/pubmed/29119515 http://dx.doi.org/10.1007/s10858-017-0145-2 |
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