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Genus trace reveals the topological complexity and domain structure of biomolecules

The structure of bonds in biomolecules, such as base pairs in RNA chains or native interactions in proteins, can be presented in the form of a chord diagram. A given biomolecule is then characterized by the genus of an auxiliary two-dimensional surface associated to such a diagram. In this work we i...

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Autores principales: Zając, Sebastian, Geary, Cody, Andersen, Ebbe Sloth, Dabrowski-Tumanski, Pawel, Sulkowska, Joanna I., Sułkowski, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277428/
https://www.ncbi.nlm.nih.gov/pubmed/30510290
http://dx.doi.org/10.1038/s41598-018-35557-3
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author Zając, Sebastian
Geary, Cody
Andersen, Ebbe Sloth
Dabrowski-Tumanski, Pawel
Sulkowska, Joanna I.
Sułkowski, Piotr
author_facet Zając, Sebastian
Geary, Cody
Andersen, Ebbe Sloth
Dabrowski-Tumanski, Pawel
Sulkowska, Joanna I.
Sułkowski, Piotr
author_sort Zając, Sebastian
collection PubMed
description The structure of bonds in biomolecules, such as base pairs in RNA chains or native interactions in proteins, can be presented in the form of a chord diagram. A given biomolecule is then characterized by the genus of an auxiliary two-dimensional surface associated to such a diagram. In this work we introduce the notion of the genus trace, which describes dependence of genus on the choice of a subchain of a given backbone chain. We find that the genus trace encodes interesting physical and biological information about a given biomolecule and its three dimensional structural complexity; in particular it gives a way to quantify how much more complicated a biomolecule is than its nested secondary structure alone would indicate. We illustrate this statement in many examples, involving both RNA and protein chains. First, we conduct a survey of all published RNA structures with better than 3 Å resolution in the PDB database, and find that the genus of natural structural RNAs has roughly linear dependence on their length. Then, we show that the genus trace captures properties of various types of base pairs in RNA, and enables the identification of the domain structure of a ribosome. Furthermore, we find that not only does the genus trace detect a domain structure, but it also predicts a cooperative folding pattern in multi-domain proteins. The genus trace turns out to be a useful and versatile tool, with many potential applications.
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spelling pubmed-62774282018-12-06 Genus trace reveals the topological complexity and domain structure of biomolecules Zając, Sebastian Geary, Cody Andersen, Ebbe Sloth Dabrowski-Tumanski, Pawel Sulkowska, Joanna I. Sułkowski, Piotr Sci Rep Article The structure of bonds in biomolecules, such as base pairs in RNA chains or native interactions in proteins, can be presented in the form of a chord diagram. A given biomolecule is then characterized by the genus of an auxiliary two-dimensional surface associated to such a diagram. In this work we introduce the notion of the genus trace, which describes dependence of genus on the choice of a subchain of a given backbone chain. We find that the genus trace encodes interesting physical and biological information about a given biomolecule and its three dimensional structural complexity; in particular it gives a way to quantify how much more complicated a biomolecule is than its nested secondary structure alone would indicate. We illustrate this statement in many examples, involving both RNA and protein chains. First, we conduct a survey of all published RNA structures with better than 3 Å resolution in the PDB database, and find that the genus of natural structural RNAs has roughly linear dependence on their length. Then, we show that the genus trace captures properties of various types of base pairs in RNA, and enables the identification of the domain structure of a ribosome. Furthermore, we find that not only does the genus trace detect a domain structure, but it also predicts a cooperative folding pattern in multi-domain proteins. The genus trace turns out to be a useful and versatile tool, with many potential applications. Nature Publishing Group UK 2018-12-03 /pmc/articles/PMC6277428/ /pubmed/30510290 http://dx.doi.org/10.1038/s41598-018-35557-3 Text en © The Author(s) 2018 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
Zając, Sebastian
Geary, Cody
Andersen, Ebbe Sloth
Dabrowski-Tumanski, Pawel
Sulkowska, Joanna I.
Sułkowski, Piotr
Genus trace reveals the topological complexity and domain structure of biomolecules
title Genus trace reveals the topological complexity and domain structure of biomolecules
title_full Genus trace reveals the topological complexity and domain structure of biomolecules
title_fullStr Genus trace reveals the topological complexity and domain structure of biomolecules
title_full_unstemmed Genus trace reveals the topological complexity and domain structure of biomolecules
title_short Genus trace reveals the topological complexity and domain structure of biomolecules
title_sort genus trace reveals the topological complexity and domain structure of biomolecules
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277428/
https://www.ncbi.nlm.nih.gov/pubmed/30510290
http://dx.doi.org/10.1038/s41598-018-35557-3
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