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Knowledge-based prediction of DNA hydration using hydrated dinucleotides as building blocks
Water plays an important role in stabilizing the structure of DNA and mediating its interactions. Here, the hydration of DNA was analyzed in terms of dinucleotide fragments from an ensemble of 2727 nonredundant DNA chains containing 41 853 dinucleotides and 316 265 associated first-shell water molec...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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International Union of Crystallography
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344474/ https://www.ncbi.nlm.nih.gov/pubmed/35916227 http://dx.doi.org/10.1107/S2059798322006234 |
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author | Biedermannová, Lada Černý, Jiří Malý, Michal Nekardová, Michaela Schneider, Bohdan |
author_facet | Biedermannová, Lada Černý, Jiří Malý, Michal Nekardová, Michaela Schneider, Bohdan |
author_sort | Biedermannová, Lada |
collection | PubMed |
description | Water plays an important role in stabilizing the structure of DNA and mediating its interactions. Here, the hydration of DNA was analyzed in terms of dinucleotide fragments from an ensemble of 2727 nonredundant DNA chains containing 41 853 dinucleotides and 316 265 associated first-shell water molecules. The dinucleotides were classified into categories based on their 16 sequences and the previously determined structural classes known as nucleotide conformers (NtCs). The construction of hydrated dinucleotide building blocks allowed dinucleotide hydration to be calculated as the probability of water density distributions. Peaks in the water densities, known as hydration sites (HSs), uncovered the interplay between base and sugar-phosphate hydration in the context of sequence and structure. To demonstrate the predictive power of hydrated DNA building blocks, they were then used to predict hydration in an independent set of crystal and NMR structures. In ten tested crystal structures, the positions of predicted HSs and experimental waters were in good agreement (more than 40% were within 0.5 Å) and correctly reproduced the known features of DNA hydration, for example the ‘spine of hydration’ in B-DNA. Therefore, it is proposed that hydrated building blocks can be used to predict DNA hydration in structures solved by NMR and cryo-EM, thus providing a guide to the interpretation of experimental data and computer models. The data for the hydrated building blocks and the predictions are available for browsing and visualization at the website https://watlas.datmos.org/watna/. |
format | Online Article Text |
id | pubmed-9344474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-93444742022-08-15 Knowledge-based prediction of DNA hydration using hydrated dinucleotides as building blocks Biedermannová, Lada Černý, Jiří Malý, Michal Nekardová, Michaela Schneider, Bohdan Acta Crystallogr D Struct Biol Research Papers Water plays an important role in stabilizing the structure of DNA and mediating its interactions. Here, the hydration of DNA was analyzed in terms of dinucleotide fragments from an ensemble of 2727 nonredundant DNA chains containing 41 853 dinucleotides and 316 265 associated first-shell water molecules. The dinucleotides were classified into categories based on their 16 sequences and the previously determined structural classes known as nucleotide conformers (NtCs). The construction of hydrated dinucleotide building blocks allowed dinucleotide hydration to be calculated as the probability of water density distributions. Peaks in the water densities, known as hydration sites (HSs), uncovered the interplay between base and sugar-phosphate hydration in the context of sequence and structure. To demonstrate the predictive power of hydrated DNA building blocks, they were then used to predict hydration in an independent set of crystal and NMR structures. In ten tested crystal structures, the positions of predicted HSs and experimental waters were in good agreement (more than 40% were within 0.5 Å) and correctly reproduced the known features of DNA hydration, for example the ‘spine of hydration’ in B-DNA. Therefore, it is proposed that hydrated building blocks can be used to predict DNA hydration in structures solved by NMR and cryo-EM, thus providing a guide to the interpretation of experimental data and computer models. The data for the hydrated building blocks and the predictions are available for browsing and visualization at the website https://watlas.datmos.org/watna/. International Union of Crystallography 2022-07-21 /pmc/articles/PMC9344474/ /pubmed/35916227 http://dx.doi.org/10.1107/S2059798322006234 Text en © Lada Biedermannová et al. 2022 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Research Papers Biedermannová, Lada Černý, Jiří Malý, Michal Nekardová, Michaela Schneider, Bohdan Knowledge-based prediction of DNA hydration using hydrated dinucleotides as building blocks |
title | Knowledge-based prediction of DNA hydration using hydrated dinucleotides as building blocks |
title_full | Knowledge-based prediction of DNA hydration using hydrated dinucleotides as building blocks |
title_fullStr | Knowledge-based prediction of DNA hydration using hydrated dinucleotides as building blocks |
title_full_unstemmed | Knowledge-based prediction of DNA hydration using hydrated dinucleotides as building blocks |
title_short | Knowledge-based prediction of DNA hydration using hydrated dinucleotides as building blocks |
title_sort | knowledge-based prediction of dna hydration using hydrated dinucleotides as building blocks |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344474/ https://www.ncbi.nlm.nih.gov/pubmed/35916227 http://dx.doi.org/10.1107/S2059798322006234 |
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