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ORIUM: Optimized RDC-based Iterative and Unified Model-free analysis

Residual dipolar couplings (RDCs) are NMR parameters that provide both structural and dynamic information concerning inter-nuclear vectors, such as N–H(N) and Cα–Hα bonds within the protein backbone. Two approaches for extracting this information from RDCs are the model free analysis (MFA) (Meiler e...

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Autores principales: Sabo, T. Michael, Smith, Colin A., Ban, David, Mazur, Adam, Lee, Donghan, Griesinger, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3982212/
https://www.ncbi.nlm.nih.gov/pubmed/24013952
http://dx.doi.org/10.1007/s10858-013-9775-1
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author Sabo, T. Michael
Smith, Colin A.
Ban, David
Mazur, Adam
Lee, Donghan
Griesinger, Christian
author_facet Sabo, T. Michael
Smith, Colin A.
Ban, David
Mazur, Adam
Lee, Donghan
Griesinger, Christian
author_sort Sabo, T. Michael
collection PubMed
description Residual dipolar couplings (RDCs) are NMR parameters that provide both structural and dynamic information concerning inter-nuclear vectors, such as N–H(N) and Cα–Hα bonds within the protein backbone. Two approaches for extracting this information from RDCs are the model free analysis (MFA) (Meiler et al. in J Am Chem Soc 123:6098–6107, 2001; Peti et al. in J Am Chem Soc 124:5822–5833, 2002) and the direct interpretation of dipolar couplings (DIDCs) (Tolman in J Am Chem Soc 124:12020–12030, 2002). Both methods have been incorporated into iterative schemes, namely the self-consistent RDC based MFA (SCRM) (Lakomek et al. in J Biomol NMR 41:139–155, 2008) and iterative DIDC (Yao et al. in J Phys Chem B 112:6045–6056, 2008), with the goal of removing the influence of structural noise in the MFA and DIDC formulations. Here, we report a new iterative procedure entitled Optimized RDC-based Iterative and Unified Model-free analysis (ORIUM). ORIUM unifies theoretical concepts developed in the MFA, SCRM, and DIDC methods to construct a computationally less demanding approach to determine these structural and dynamic parameters. In all schemes, dynamic averaging reduces the actual magnitude of the alignment tensors complicating the determination of the absolute values for the generalized order parameters. To readdress this scaling issue that has been previously investigated (Lakomek et al. in J Biomol NMR 41:139–155, 2008; Salmon et al. in Angew Chem Int Edit 48:4154–4157, 2009), a new method is presented using only RDC data to establish a lower bound on protein motion, bypassing the requirement of Lipari–Szabo order parameters. ORIUM and the new scaling procedure are applied to the proteins ubiquitin and the third immunoglobulin domain of protein G (GB3). Our results indicate good agreement with the SCRM and iterative DIDC approaches and signify the general applicability of ORIUM and the proposed scaling for the extraction of inter-nuclear vector structural and dynamic content. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-013-9775-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-39822122014-04-23 ORIUM: Optimized RDC-based Iterative and Unified Model-free analysis Sabo, T. Michael Smith, Colin A. Ban, David Mazur, Adam Lee, Donghan Griesinger, Christian J Biomol NMR Article Residual dipolar couplings (RDCs) are NMR parameters that provide both structural and dynamic information concerning inter-nuclear vectors, such as N–H(N) and Cα–Hα bonds within the protein backbone. Two approaches for extracting this information from RDCs are the model free analysis (MFA) (Meiler et al. in J Am Chem Soc 123:6098–6107, 2001; Peti et al. in J Am Chem Soc 124:5822–5833, 2002) and the direct interpretation of dipolar couplings (DIDCs) (Tolman in J Am Chem Soc 124:12020–12030, 2002). Both methods have been incorporated into iterative schemes, namely the self-consistent RDC based MFA (SCRM) (Lakomek et al. in J Biomol NMR 41:139–155, 2008) and iterative DIDC (Yao et al. in J Phys Chem B 112:6045–6056, 2008), with the goal of removing the influence of structural noise in the MFA and DIDC formulations. Here, we report a new iterative procedure entitled Optimized RDC-based Iterative and Unified Model-free analysis (ORIUM). ORIUM unifies theoretical concepts developed in the MFA, SCRM, and DIDC methods to construct a computationally less demanding approach to determine these structural and dynamic parameters. In all schemes, dynamic averaging reduces the actual magnitude of the alignment tensors complicating the determination of the absolute values for the generalized order parameters. To readdress this scaling issue that has been previously investigated (Lakomek et al. in J Biomol NMR 41:139–155, 2008; Salmon et al. in Angew Chem Int Edit 48:4154–4157, 2009), a new method is presented using only RDC data to establish a lower bound on protein motion, bypassing the requirement of Lipari–Szabo order parameters. ORIUM and the new scaling procedure are applied to the proteins ubiquitin and the third immunoglobulin domain of protein G (GB3). Our results indicate good agreement with the SCRM and iterative DIDC approaches and signify the general applicability of ORIUM and the proposed scaling for the extraction of inter-nuclear vector structural and dynamic content. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-013-9775-1) contains supplementary material, which is available to authorized users. Springer Netherlands 2013-09-08 2014 /pmc/articles/PMC3982212/ /pubmed/24013952 http://dx.doi.org/10.1007/s10858-013-9775-1 Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Sabo, T. Michael
Smith, Colin A.
Ban, David
Mazur, Adam
Lee, Donghan
Griesinger, Christian
ORIUM: Optimized RDC-based Iterative and Unified Model-free analysis
title ORIUM: Optimized RDC-based Iterative and Unified Model-free analysis
title_full ORIUM: Optimized RDC-based Iterative and Unified Model-free analysis
title_fullStr ORIUM: Optimized RDC-based Iterative and Unified Model-free analysis
title_full_unstemmed ORIUM: Optimized RDC-based Iterative and Unified Model-free analysis
title_short ORIUM: Optimized RDC-based Iterative and Unified Model-free analysis
title_sort orium: optimized rdc-based iterative and unified model-free analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3982212/
https://www.ncbi.nlm.nih.gov/pubmed/24013952
http://dx.doi.org/10.1007/s10858-013-9775-1
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