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Topological Indices of Proteins
Protein molecules can be approximated by discrete polygonal chains of amino acids. Standard topological tools can be applied to the smoothening of the polygons to introduce a topological classification of folded states of proteins, for example, using the self-linking number of the corresponding fram...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787103/ https://www.ncbi.nlm.nih.gov/pubmed/31601844 http://dx.doi.org/10.1038/s41598-019-50809-6 |
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author | Melnikov, Dmitry Niemi, Antti J. Sedrakyan, Ara |
author_facet | Melnikov, Dmitry Niemi, Antti J. Sedrakyan, Ara |
author_sort | Melnikov, Dmitry |
collection | PubMed |
description | Protein molecules can be approximated by discrete polygonal chains of amino acids. Standard topological tools can be applied to the smoothening of the polygons to introduce a topological classification of folded states of proteins, for example, using the self-linking number of the corresponding framed curves. In this paper we extend this classification to the discrete version, taking advantage of the “randomness” of such curves. Known definitions of the self-linking number apply to non-singular framings: for example, the Frenet framing cannot be used if the curve has inflection points. However, in the discrete proteins the special points are naturally resolved. Consequently, a separate integer topological characteristics can be introduced, which takes into account the intrinsic features of the special points. This works well for the proteins in our analysis, for which we compute integer topological indices associated with the singularities of the Frenet framing. We show how a version of the Calugareanu’s theorem is satisfied for the associated self-linking number of a discrete curve. Since the singularities of the Frenet framing correspond to the structural motifs of proteins, we propose topological indices as a technical tool for the description of the folding dynamics of proteins. |
format | Online Article Text |
id | pubmed-6787103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67871032019-10-17 Topological Indices of Proteins Melnikov, Dmitry Niemi, Antti J. Sedrakyan, Ara Sci Rep Article Protein molecules can be approximated by discrete polygonal chains of amino acids. Standard topological tools can be applied to the smoothening of the polygons to introduce a topological classification of folded states of proteins, for example, using the self-linking number of the corresponding framed curves. In this paper we extend this classification to the discrete version, taking advantage of the “randomness” of such curves. Known definitions of the self-linking number apply to non-singular framings: for example, the Frenet framing cannot be used if the curve has inflection points. However, in the discrete proteins the special points are naturally resolved. Consequently, a separate integer topological characteristics can be introduced, which takes into account the intrinsic features of the special points. This works well for the proteins in our analysis, for which we compute integer topological indices associated with the singularities of the Frenet framing. We show how a version of the Calugareanu’s theorem is satisfied for the associated self-linking number of a discrete curve. Since the singularities of the Frenet framing correspond to the structural motifs of proteins, we propose topological indices as a technical tool for the description of the folding dynamics of proteins. Nature Publishing Group UK 2019-10-10 /pmc/articles/PMC6787103/ /pubmed/31601844 http://dx.doi.org/10.1038/s41598-019-50809-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Melnikov, Dmitry Niemi, Antti J. Sedrakyan, Ara Topological Indices of Proteins |
title | Topological Indices of Proteins |
title_full | Topological Indices of Proteins |
title_fullStr | Topological Indices of Proteins |
title_full_unstemmed | Topological Indices of Proteins |
title_short | Topological Indices of Proteins |
title_sort | topological indices of proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787103/ https://www.ncbi.nlm.nih.gov/pubmed/31601844 http://dx.doi.org/10.1038/s41598-019-50809-6 |
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