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A three dimensional visualisation approach to protein heavy-atom structure reconstruction
BACKGROUND: A commonly recurring problem in structural protein studies, is the determination of all heavy atom positions from the knowledge of the central α-carbon coordinates. RESULTS: We employ advances in virtual reality to address the problem. The outcome is a 3D visualisation based technique wh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302604/ https://www.ncbi.nlm.nih.gov/pubmed/25551190 http://dx.doi.org/10.1186/s12900-014-0027-8 |
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author | Peng, Xubiao Chenani, Alireza Hu, Shuangwei Zhou, Yifan Niemi, Antti J |
author_facet | Peng, Xubiao Chenani, Alireza Hu, Shuangwei Zhou, Yifan Niemi, Antti J |
author_sort | Peng, Xubiao |
collection | PubMed |
description | BACKGROUND: A commonly recurring problem in structural protein studies, is the determination of all heavy atom positions from the knowledge of the central α-carbon coordinates. RESULTS: We employ advances in virtual reality to address the problem. The outcome is a 3D visualisation based technique where all the heavy backbone and side chain atoms are treated on equal footing, in terms of the C(α) coordinates. Each heavy atom is visualised on the surfaces of a different two-sphere, that is centered at another heavy backbone and side chain atoms. In particular, the rotamers are visible as clusters, that display a clear and strong dependence on the underlying backbone secondary structure. CONCLUSIONS: We demonstrate that there is a clear interdependence between rotameric states and secondary structure. Our method easily detects those atoms in a crystallographic protein structure which are either outliers or have been likely misplaced, possibly due to radiation damage. Our approach forms a basis for the development of a new generation, visualization based side chain construction, validation and refinement tools. The heavy atom positions are identified in a manner which accounts for the secondary structure environment, leading to improved accuracy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12900-014-0027-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4302604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43026042015-02-03 A three dimensional visualisation approach to protein heavy-atom structure reconstruction Peng, Xubiao Chenani, Alireza Hu, Shuangwei Zhou, Yifan Niemi, Antti J BMC Struct Biol Research Article BACKGROUND: A commonly recurring problem in structural protein studies, is the determination of all heavy atom positions from the knowledge of the central α-carbon coordinates. RESULTS: We employ advances in virtual reality to address the problem. The outcome is a 3D visualisation based technique where all the heavy backbone and side chain atoms are treated on equal footing, in terms of the C(α) coordinates. Each heavy atom is visualised on the surfaces of a different two-sphere, that is centered at another heavy backbone and side chain atoms. In particular, the rotamers are visible as clusters, that display a clear and strong dependence on the underlying backbone secondary structure. CONCLUSIONS: We demonstrate that there is a clear interdependence between rotameric states and secondary structure. Our method easily detects those atoms in a crystallographic protein structure which are either outliers or have been likely misplaced, possibly due to radiation damage. Our approach forms a basis for the development of a new generation, visualization based side chain construction, validation and refinement tools. The heavy atom positions are identified in a manner which accounts for the secondary structure environment, leading to improved accuracy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12900-014-0027-8) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-31 /pmc/articles/PMC4302604/ /pubmed/25551190 http://dx.doi.org/10.1186/s12900-014-0027-8 Text en © Peng et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Peng, Xubiao Chenani, Alireza Hu, Shuangwei Zhou, Yifan Niemi, Antti J A three dimensional visualisation approach to protein heavy-atom structure reconstruction |
title | A three dimensional visualisation approach to protein heavy-atom structure reconstruction |
title_full | A three dimensional visualisation approach to protein heavy-atom structure reconstruction |
title_fullStr | A three dimensional visualisation approach to protein heavy-atom structure reconstruction |
title_full_unstemmed | A three dimensional visualisation approach to protein heavy-atom structure reconstruction |
title_short | A three dimensional visualisation approach to protein heavy-atom structure reconstruction |
title_sort | three dimensional visualisation approach to protein heavy-atom structure reconstruction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302604/ https://www.ncbi.nlm.nih.gov/pubmed/25551190 http://dx.doi.org/10.1186/s12900-014-0027-8 |
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