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Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions
The three-dimensional (3D) structure and stability of DNA are essential to understand/control their biological functions and aid the development of novel materials. In this work, we present a coarse-grained (CG) model for DNA based on the RNA CG model proposed by us, to predict 3D structures and sta...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9621594/ https://www.ncbi.nlm.nih.gov/pubmed/36260618 http://dx.doi.org/10.1371/journal.pcbi.1010501 |
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author | Mu, Zi-Chun Tan, Ya-Lan Zhang, Ben-Gong Liu, Jie Shi, Ya-Zhou |
author_facet | Mu, Zi-Chun Tan, Ya-Lan Zhang, Ben-Gong Liu, Jie Shi, Ya-Zhou |
author_sort | Mu, Zi-Chun |
collection | PubMed |
description | The three-dimensional (3D) structure and stability of DNA are essential to understand/control their biological functions and aid the development of novel materials. In this work, we present a coarse-grained (CG) model for DNA based on the RNA CG model proposed by us, to predict 3D structures and stability for both dsDNA and ssDNA from the sequence. Combined with a Monte Carlo simulated annealing algorithm and CG force fields involving the sequence-dependent base-pairing/stacking interactions and an implicit electrostatic potential, the present model successfully folds 20 dsDNAs (≤52nt) and 20 ssDNAs (≤74nt) into the corresponding native-like structures just from their sequences, with an overall mean RMSD of 3.4Å from the experimental structures. For DNAs with various lengths and sequences, the present model can make reliable predictions on stability, e.g., for 27 dsDNAs with/without bulge/internal loops and 24 ssDNAs including pseudoknot, the mean deviation of predicted melting temperatures from the corresponding experimental data is only ~2.0°C. Furthermore, the model also quantificationally predicts the effects of monovalent or divalent ions on the structure stability of ssDNAs/dsDNAs. |
format | Online Article Text |
id | pubmed-9621594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-96215942022-11-01 Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions Mu, Zi-Chun Tan, Ya-Lan Zhang, Ben-Gong Liu, Jie Shi, Ya-Zhou PLoS Comput Biol Research Article The three-dimensional (3D) structure and stability of DNA are essential to understand/control their biological functions and aid the development of novel materials. In this work, we present a coarse-grained (CG) model for DNA based on the RNA CG model proposed by us, to predict 3D structures and stability for both dsDNA and ssDNA from the sequence. Combined with a Monte Carlo simulated annealing algorithm and CG force fields involving the sequence-dependent base-pairing/stacking interactions and an implicit electrostatic potential, the present model successfully folds 20 dsDNAs (≤52nt) and 20 ssDNAs (≤74nt) into the corresponding native-like structures just from their sequences, with an overall mean RMSD of 3.4Å from the experimental structures. For DNAs with various lengths and sequences, the present model can make reliable predictions on stability, e.g., for 27 dsDNAs with/without bulge/internal loops and 24 ssDNAs including pseudoknot, the mean deviation of predicted melting temperatures from the corresponding experimental data is only ~2.0°C. Furthermore, the model also quantificationally predicts the effects of monovalent or divalent ions on the structure stability of ssDNAs/dsDNAs. Public Library of Science 2022-10-19 /pmc/articles/PMC9621594/ /pubmed/36260618 http://dx.doi.org/10.1371/journal.pcbi.1010501 Text en © 2022 Mu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mu, Zi-Chun Tan, Ya-Lan Zhang, Ben-Gong Liu, Jie Shi, Ya-Zhou Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions |
title | Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions |
title_full | Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions |
title_fullStr | Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions |
title_full_unstemmed | Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions |
title_short | Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions |
title_sort | ab initio predictions for 3d structure and stability of single- and double-stranded dnas in ion solutions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9621594/ https://www.ncbi.nlm.nih.gov/pubmed/36260618 http://dx.doi.org/10.1371/journal.pcbi.1010501 |
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