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NMRFAM-SDF: a protein structure determination framework

The computationally demanding nature of automated NMR structure determination necessitates a delicate balancing of factors that include the time complexity of data collection, the computational complexity of chemical shift assignments, and selection of proper optimization steps. During the past two...

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Autores principales: Dashti, Hesam, Lee, Woonghee, Tonelli, Marco, Cornilescu, Claudia C., Cornilescu, Gabriel, Assadi-Porter, Fariba M., Westler, William M., Eghbalnia, Hamid R., Markley, John L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569665/
https://www.ncbi.nlm.nih.gov/pubmed/25900069
http://dx.doi.org/10.1007/s10858-015-9933-8
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author Dashti, Hesam
Lee, Woonghee
Tonelli, Marco
Cornilescu, Claudia C.
Cornilescu, Gabriel
Assadi-Porter, Fariba M.
Westler, William M.
Eghbalnia, Hamid R.
Markley, John L.
author_facet Dashti, Hesam
Lee, Woonghee
Tonelli, Marco
Cornilescu, Claudia C.
Cornilescu, Gabriel
Assadi-Porter, Fariba M.
Westler, William M.
Eghbalnia, Hamid R.
Markley, John L.
author_sort Dashti, Hesam
collection PubMed
description The computationally demanding nature of automated NMR structure determination necessitates a delicate balancing of factors that include the time complexity of data collection, the computational complexity of chemical shift assignments, and selection of proper optimization steps. During the past two decades the computational and algorithmic aspects of several discrete steps of the process have been addressed. Although no single comprehensive solution has emerged, the incorporation of a validation protocol has gained recognition as a necessary step for a robust automated approach. The need for validation becomes even more pronounced in cases of proteins with higher structural complexity, where potentially larger errors generated at each step can propagate and accumulate in the process of structure calculation, thereby significantly degrading the efficacy of any software framework. This paper introduces a complete framework for protein structure determination with NMR—from data acquisition to the structure determination. The aim is twofold: to simplify the structure determination process for non-NMR experts whenever feasible, while maintaining flexibility by providing a set of modules that validate each step, and to enable the assessment of error propagations. This framework, called NMRFAM-SDF (NMRFAM-Structure Determination Framework), and its various components are available for download from the NMRFAM website (http://nmrfam.wisc.edu/software.htm). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-015-9933-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-45696652015-09-17 NMRFAM-SDF: a protein structure determination framework Dashti, Hesam Lee, Woonghee Tonelli, Marco Cornilescu, Claudia C. Cornilescu, Gabriel Assadi-Porter, Fariba M. Westler, William M. Eghbalnia, Hamid R. Markley, John L. J Biomol NMR Article The computationally demanding nature of automated NMR structure determination necessitates a delicate balancing of factors that include the time complexity of data collection, the computational complexity of chemical shift assignments, and selection of proper optimization steps. During the past two decades the computational and algorithmic aspects of several discrete steps of the process have been addressed. Although no single comprehensive solution has emerged, the incorporation of a validation protocol has gained recognition as a necessary step for a robust automated approach. The need for validation becomes even more pronounced in cases of proteins with higher structural complexity, where potentially larger errors generated at each step can propagate and accumulate in the process of structure calculation, thereby significantly degrading the efficacy of any software framework. This paper introduces a complete framework for protein structure determination with NMR—from data acquisition to the structure determination. The aim is twofold: to simplify the structure determination process for non-NMR experts whenever feasible, while maintaining flexibility by providing a set of modules that validate each step, and to enable the assessment of error propagations. This framework, called NMRFAM-SDF (NMRFAM-Structure Determination Framework), and its various components are available for download from the NMRFAM website (http://nmrfam.wisc.edu/software.htm). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-015-9933-8) contains supplementary material, which is available to authorized users. Springer Netherlands 2015-04-22 2015 /pmc/articles/PMC4569665/ /pubmed/25900069 http://dx.doi.org/10.1007/s10858-015-9933-8 Text en © The Author(s) 2015 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
Dashti, Hesam
Lee, Woonghee
Tonelli, Marco
Cornilescu, Claudia C.
Cornilescu, Gabriel
Assadi-Porter, Fariba M.
Westler, William M.
Eghbalnia, Hamid R.
Markley, John L.
NMRFAM-SDF: a protein structure determination framework
title NMRFAM-SDF: a protein structure determination framework
title_full NMRFAM-SDF: a protein structure determination framework
title_fullStr NMRFAM-SDF: a protein structure determination framework
title_full_unstemmed NMRFAM-SDF: a protein structure determination framework
title_short NMRFAM-SDF: a protein structure determination framework
title_sort nmrfam-sdf: a protein structure determination framework
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569665/
https://www.ncbi.nlm.nih.gov/pubmed/25900069
http://dx.doi.org/10.1007/s10858-015-9933-8
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