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Generation of DNA oligomers with similar chemical kinetics via in-silico optimization
Networks of interacting DNA oligomers are useful for applications such as biomarker detection, targeted drug delivery, information storage, and photonic information processing. However, differences in the chemical kinetics of hybridization reactions, referred to as kinetic dispersion, can be problem...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584830/ https://www.ncbi.nlm.nih.gov/pubmed/37853171 http://dx.doi.org/10.1038/s42004-023-01026-w |
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author | Tobiason, Michael Yurke, Bernard Hughes, William L. |
author_facet | Tobiason, Michael Yurke, Bernard Hughes, William L. |
author_sort | Tobiason, Michael |
collection | PubMed |
description | Networks of interacting DNA oligomers are useful for applications such as biomarker detection, targeted drug delivery, information storage, and photonic information processing. However, differences in the chemical kinetics of hybridization reactions, referred to as kinetic dispersion, can be problematic for some applications. Here, it is found that limiting unnecessary stretches of Watson-Crick base pairing, referred to as unnecessary duplexes, can yield exceptionally low kinetic dispersions. Hybridization kinetics can be affected by unnecessary intra-oligomer duplexes containing only 2 base-pairs, and such duplexes explain up to 94% of previously reported kinetic dispersion. As a general design rule, it is recommended that unnecessary intra-oligomer duplexes larger than 2 base-pairs and unnecessary inter-oligomer duplexes larger than 7 base-pairs be avoided. Unnecessary duplexes typically scale exponentially with network size, and nearly all networks contain unnecessary duplexes substantial enough to affect hybridization kinetics. A new method for generating networks which utilizes in-silico optimization to mitigate unnecessary duplexes is proposed and demonstrated to reduce in-vitro kinetic dispersions as much as 96%. The limitations of the new design rule and generation method are evaluated in-silico by creating new oligomers for several designs, including three previously programmed reactions and one previously engineered structure. |
format | Online Article Text |
id | pubmed-10584830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105848302023-10-20 Generation of DNA oligomers with similar chemical kinetics via in-silico optimization Tobiason, Michael Yurke, Bernard Hughes, William L. Commun Chem Article Networks of interacting DNA oligomers are useful for applications such as biomarker detection, targeted drug delivery, information storage, and photonic information processing. However, differences in the chemical kinetics of hybridization reactions, referred to as kinetic dispersion, can be problematic for some applications. Here, it is found that limiting unnecessary stretches of Watson-Crick base pairing, referred to as unnecessary duplexes, can yield exceptionally low kinetic dispersions. Hybridization kinetics can be affected by unnecessary intra-oligomer duplexes containing only 2 base-pairs, and such duplexes explain up to 94% of previously reported kinetic dispersion. As a general design rule, it is recommended that unnecessary intra-oligomer duplexes larger than 2 base-pairs and unnecessary inter-oligomer duplexes larger than 7 base-pairs be avoided. Unnecessary duplexes typically scale exponentially with network size, and nearly all networks contain unnecessary duplexes substantial enough to affect hybridization kinetics. A new method for generating networks which utilizes in-silico optimization to mitigate unnecessary duplexes is proposed and demonstrated to reduce in-vitro kinetic dispersions as much as 96%. The limitations of the new design rule and generation method are evaluated in-silico by creating new oligomers for several designs, including three previously programmed reactions and one previously engineered structure. Nature Publishing Group UK 2023-10-18 /pmc/articles/PMC10584830/ /pubmed/37853171 http://dx.doi.org/10.1038/s42004-023-01026-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tobiason, Michael Yurke, Bernard Hughes, William L. Generation of DNA oligomers with similar chemical kinetics via in-silico optimization |
title | Generation of DNA oligomers with similar chemical kinetics via in-silico optimization |
title_full | Generation of DNA oligomers with similar chemical kinetics via in-silico optimization |
title_fullStr | Generation of DNA oligomers with similar chemical kinetics via in-silico optimization |
title_full_unstemmed | Generation of DNA oligomers with similar chemical kinetics via in-silico optimization |
title_short | Generation of DNA oligomers with similar chemical kinetics via in-silico optimization |
title_sort | generation of dna oligomers with similar chemical kinetics via in-silico optimization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584830/ https://www.ncbi.nlm.nih.gov/pubmed/37853171 http://dx.doi.org/10.1038/s42004-023-01026-w |
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