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Improved reliability, accuracy and quality in automated NMR structure calculation with ARIA

In biological NMR, assignment of NOE cross-peaks and calculation of atomic conformations are critical steps in the determination of reliable high-resolution structures. ARIA is an automated approach that performs NOE assignment and structure calculation in a concomitant manner in an iterative proced...

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Autores principales: Mareuil, Fabien, Malliavin, Thérèse E., Nilges, Michael, Bardiaux, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569677/
https://www.ncbi.nlm.nih.gov/pubmed/25861734
http://dx.doi.org/10.1007/s10858-015-9928-5
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author Mareuil, Fabien
Malliavin, Thérèse E.
Nilges, Michael
Bardiaux, Benjamin
author_facet Mareuil, Fabien
Malliavin, Thérèse E.
Nilges, Michael
Bardiaux, Benjamin
author_sort Mareuil, Fabien
collection PubMed
description In biological NMR, assignment of NOE cross-peaks and calculation of atomic conformations are critical steps in the determination of reliable high-resolution structures. ARIA is an automated approach that performs NOE assignment and structure calculation in a concomitant manner in an iterative procedure. The log-harmonic shape for distance restraint potential and the Bayesian weighting of distance restraints, recently introduced in ARIA, were shown to significantly improve the quality and the accuracy of determined structures. In this paper, we propose two modifications of the ARIA protocol: (1) the softening of the force field together with adapted hydrogen radii, which is meaningful in the context of the log-harmonic potential with Bayesian weighting, (2) a procedure that automatically adjusts the violation tolerance used in the selection of active restraints, based on the fitting of the structure to the input data sets. The new ARIA protocols were fine-tuned on a set of eight protein targets from the CASD–NMR initiative. As a result, the convergence problems previously observed for some targets was resolved and the obtained structures exhibited better quality. In addition, the new ARIA protocols were applied for the structure calculation of ten new CASD–NMR targets in a blind fashion, i.e. without knowing the actual solution. Even though optimisation of parameters and pre-filtering of unrefined NOE peak lists were necessary for half of the targets, ARIA consistently and reliably determined very precise and highly accurate structures for all cases. In the context of integrative structural biology, an increasing number of experimental methods are used that produce distance data for the determination of 3D structures of macromolecules, stressing the importance of methods that successfully make use of ambiguous and noisy distance data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-015-9928-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-45696772015-09-18 Improved reliability, accuracy and quality in automated NMR structure calculation with ARIA Mareuil, Fabien Malliavin, Thérèse E. Nilges, Michael Bardiaux, Benjamin J Biomol NMR Article In biological NMR, assignment of NOE cross-peaks and calculation of atomic conformations are critical steps in the determination of reliable high-resolution structures. ARIA is an automated approach that performs NOE assignment and structure calculation in a concomitant manner in an iterative procedure. The log-harmonic shape for distance restraint potential and the Bayesian weighting of distance restraints, recently introduced in ARIA, were shown to significantly improve the quality and the accuracy of determined structures. In this paper, we propose two modifications of the ARIA protocol: (1) the softening of the force field together with adapted hydrogen radii, which is meaningful in the context of the log-harmonic potential with Bayesian weighting, (2) a procedure that automatically adjusts the violation tolerance used in the selection of active restraints, based on the fitting of the structure to the input data sets. The new ARIA protocols were fine-tuned on a set of eight protein targets from the CASD–NMR initiative. As a result, the convergence problems previously observed for some targets was resolved and the obtained structures exhibited better quality. In addition, the new ARIA protocols were applied for the structure calculation of ten new CASD–NMR targets in a blind fashion, i.e. without knowing the actual solution. Even though optimisation of parameters and pre-filtering of unrefined NOE peak lists were necessary for half of the targets, ARIA consistently and reliably determined very precise and highly accurate structures for all cases. In the context of integrative structural biology, an increasing number of experimental methods are used that produce distance data for the determination of 3D structures of macromolecules, stressing the importance of methods that successfully make use of ambiguous and noisy distance data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-015-9928-5) contains supplementary material, which is available to authorized users. Springer Netherlands 2015-04-11 2015 /pmc/articles/PMC4569677/ /pubmed/25861734 http://dx.doi.org/10.1007/s10858-015-9928-5 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
Mareuil, Fabien
Malliavin, Thérèse E.
Nilges, Michael
Bardiaux, Benjamin
Improved reliability, accuracy and quality in automated NMR structure calculation with ARIA
title Improved reliability, accuracy and quality in automated NMR structure calculation with ARIA
title_full Improved reliability, accuracy and quality in automated NMR structure calculation with ARIA
title_fullStr Improved reliability, accuracy and quality in automated NMR structure calculation with ARIA
title_full_unstemmed Improved reliability, accuracy and quality in automated NMR structure calculation with ARIA
title_short Improved reliability, accuracy and quality in automated NMR structure calculation with ARIA
title_sort improved reliability, accuracy and quality in automated nmr structure calculation with aria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569677/
https://www.ncbi.nlm.nih.gov/pubmed/25861734
http://dx.doi.org/10.1007/s10858-015-9928-5
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