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Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis

Symmetry of proteins, an important source of their elegant structure and unique functions, is not as perfect as it may seem. In the framework of continuous symmetry, in which symmetry is no longer a binary yes/no property, such imperfections can be quantified and used as a global descriptor of the t...

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Autores principales: Tuvi-Arad, Inbal, Alon, Gil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551912/
https://www.ncbi.nlm.nih.gov/pubmed/31172379
http://dx.doi.org/10.1186/s13321-019-0360-9
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author Tuvi-Arad, Inbal
Alon, Gil
author_facet Tuvi-Arad, Inbal
Alon, Gil
author_sort Tuvi-Arad, Inbal
collection PubMed
description Symmetry of proteins, an important source of their elegant structure and unique functions, is not as perfect as it may seem. In the framework of continuous symmetry, in which symmetry is no longer a binary yes/no property, such imperfections can be quantified and used as a global descriptor of the three-dimensional structure. We present an improved algorithm for calculating the continuous symmetry measure for proteins that takes into account their complete set of atoms including all side chains. Our method takes advantage of the protein sequence and the division into peptides in order to improve the accuracy and efficiency of the calculation over previous methods. The Hungarian algorithm is applied to solve the assignment problem and find the permutation that defines the symmetry operation. Analysis of the symmetry of several sets of protein homomers, with various degrees of rotational symmetry is presented. The new methodology lays the foundations for accurate, efficient and reliable large scale symmetry analysis of protein structure and can be used as a collective variable that describes changes of the protein geometry along various processes, both at the backbone level and for the complete protein structure. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13321-019-0360-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-65519122019-06-10 Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis Tuvi-Arad, Inbal Alon, Gil J Cheminform Research Article Symmetry of proteins, an important source of their elegant structure and unique functions, is not as perfect as it may seem. In the framework of continuous symmetry, in which symmetry is no longer a binary yes/no property, such imperfections can be quantified and used as a global descriptor of the three-dimensional structure. We present an improved algorithm for calculating the continuous symmetry measure for proteins that takes into account their complete set of atoms including all side chains. Our method takes advantage of the protein sequence and the division into peptides in order to improve the accuracy and efficiency of the calculation over previous methods. The Hungarian algorithm is applied to solve the assignment problem and find the permutation that defines the symmetry operation. Analysis of the symmetry of several sets of protein homomers, with various degrees of rotational symmetry is presented. The new methodology lays the foundations for accurate, efficient and reliable large scale symmetry analysis of protein structure and can be used as a collective variable that describes changes of the protein geometry along various processes, both at the backbone level and for the complete protein structure. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13321-019-0360-9) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-06-06 /pmc/articles/PMC6551912/ /pubmed/31172379 http://dx.doi.org/10.1186/s13321-019-0360-9 Text en © The Author(s) 2019 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. 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
Tuvi-Arad, Inbal
Alon, Gil
Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis
title Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis
title_full Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis
title_fullStr Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis
title_full_unstemmed Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis
title_short Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis
title_sort improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551912/
https://www.ncbi.nlm.nih.gov/pubmed/31172379
http://dx.doi.org/10.1186/s13321-019-0360-9
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