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3dDNA: A Computational Method of Building DNA 3D Structures
Considerable progress has been made in the prediction methods of 3D structures of RNAs. In contrast, no such methods are available for DNAs. The determination of 3D structures of the latter is also increasingly needed for understanding their functions and designing new DNA molecules. Since the numbe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503956/ https://www.ncbi.nlm.nih.gov/pubmed/36144680 http://dx.doi.org/10.3390/molecules27185936 |
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author | Zhang, Yi Xiong, Yiduo Xiao, Yi |
author_facet | Zhang, Yi Xiong, Yiduo Xiao, Yi |
author_sort | Zhang, Yi |
collection | PubMed |
description | Considerable progress has been made in the prediction methods of 3D structures of RNAs. In contrast, no such methods are available for DNAs. The determination of 3D structures of the latter is also increasingly needed for understanding their functions and designing new DNA molecules. Since the number of experimental structures of DNA is limited at present, here, we propose a computational and template-based method, 3dDNA, which combines DNA and RNA template libraries to predict DNA 3D structures. It was benchmarked on three test sets with different numbers of chains, and the results show that 3dDNA can predict DNA 3D structures with a mean RMSD of about 2.36 Å for those with one or two chains and fewer than 4 Å with three or more chains. |
format | Online Article Text |
id | pubmed-9503956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95039562022-09-24 3dDNA: A Computational Method of Building DNA 3D Structures Zhang, Yi Xiong, Yiduo Xiao, Yi Molecules Article Considerable progress has been made in the prediction methods of 3D structures of RNAs. In contrast, no such methods are available for DNAs. The determination of 3D structures of the latter is also increasingly needed for understanding their functions and designing new DNA molecules. Since the number of experimental structures of DNA is limited at present, here, we propose a computational and template-based method, 3dDNA, which combines DNA and RNA template libraries to predict DNA 3D structures. It was benchmarked on three test sets with different numbers of chains, and the results show that 3dDNA can predict DNA 3D structures with a mean RMSD of about 2.36 Å for those with one or two chains and fewer than 4 Å with three or more chains. MDPI 2022-09-13 /pmc/articles/PMC9503956/ /pubmed/36144680 http://dx.doi.org/10.3390/molecules27185936 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Yi Xiong, Yiduo Xiao, Yi 3dDNA: A Computational Method of Building DNA 3D Structures |
title | 3dDNA: A Computational Method of Building DNA 3D Structures |
title_full | 3dDNA: A Computational Method of Building DNA 3D Structures |
title_fullStr | 3dDNA: A Computational Method of Building DNA 3D Structures |
title_full_unstemmed | 3dDNA: A Computational Method of Building DNA 3D Structures |
title_short | 3dDNA: A Computational Method of Building DNA 3D Structures |
title_sort | 3ddna: a computational method of building dna 3d structures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503956/ https://www.ncbi.nlm.nih.gov/pubmed/36144680 http://dx.doi.org/10.3390/molecules27185936 |
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