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Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data

We present a method to reconstruct a three-dimensional protein structure from an atomic pair distribution function derived from the scattering intensity profile from SAXS data by flexibly fitting known x-ray structures. This method uses a linear combination of low-frequency normal modes from an elas...

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Detalles Bibliográficos
Autores principales: Gorba, Christian, Tama, Florence
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2901630/
https://www.ncbi.nlm.nih.gov/pubmed/20634984
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author Gorba, Christian
Tama, Florence
author_facet Gorba, Christian
Tama, Florence
author_sort Gorba, Christian
collection PubMed
description We present a method to reconstruct a three-dimensional protein structure from an atomic pair distribution function derived from the scattering intensity profile from SAXS data by flexibly fitting known x-ray structures. This method uses a linear combination of low-frequency normal modes from an elastic network description of the molecule in an iterative manner to deform the structure to conform optimally to the target pair distribution function derived from SAXS data. For computational efficiency, the protein and water molecules included in the protein first hydration shell are coarse-grained. In this paper, we demonstrate the validity of our coarse-graining approach to study SAXS data. Illustrative results of our flexible fitting studies on simulated SAXS data from five different proteins are presented.
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spelling pubmed-29016302010-07-15 Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data Gorba, Christian Tama, Florence Bioinform Biol Insights Original Research We present a method to reconstruct a three-dimensional protein structure from an atomic pair distribution function derived from the scattering intensity profile from SAXS data by flexibly fitting known x-ray structures. This method uses a linear combination of low-frequency normal modes from an elastic network description of the molecule in an iterative manner to deform the structure to conform optimally to the target pair distribution function derived from SAXS data. For computational efficiency, the protein and water molecules included in the protein first hydration shell are coarse-grained. In this paper, we demonstrate the validity of our coarse-graining approach to study SAXS data. Illustrative results of our flexible fitting studies on simulated SAXS data from five different proteins are presented. Libertas Academica 2010-06-21 /pmc/articles/PMC2901630/ /pubmed/20634984 Text en © 2010 the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.
spellingShingle Original Research
Gorba, Christian
Tama, Florence
Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data
title Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data
title_full Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data
title_fullStr Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data
title_full_unstemmed Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data
title_short Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data
title_sort normal mode flexible fitting of high-resolution structures of biological molecules toward saxs data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2901630/
https://www.ncbi.nlm.nih.gov/pubmed/20634984
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