Developing an Updated Strategy for Estimating the Free-Energy Parameters in RNA Duplexes

For the last 20 years, it has been common lore that the free energy of RNA duplexes formed from canonical Watson–Crick base pairs (bps) can be largely approximated with dinucleotide bp parameters and a few simple corrective constants that are duplex independent. Additionally, the standard benchmark...

Full description

Bibliographic Details
Main Authors: Wayne K. Dawson, Amiu Shino, Gota Kawai, Ella Czarina Morishita
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/22/18/9708
_version_ 1797518954723278848
author Wayne K. Dawson
Amiu Shino
Gota Kawai
Ella Czarina Morishita
author_facet Wayne K. Dawson
Amiu Shino
Gota Kawai
Ella Czarina Morishita
author_sort Wayne K. Dawson
collection DOAJ
description For the last 20 years, it has been common lore that the free energy of RNA duplexes formed from canonical Watson–Crick base pairs (bps) can be largely approximated with dinucleotide bp parameters and a few simple corrective constants that are duplex independent. Additionally, the standard benchmark set of duplexes used to generate the parameters were GC-rich in the shorter duplexes and AU-rich in the longer duplexes, and the length of the majority of the duplexes ranged between 6 and 8 bps. We were curious if other models would generate similar results and whether adding longer duplexes of 17 bps would affect the conclusions. We developed a gradient-descent fitting program for obtaining free-energy parameters—the changes in Gibbs free energy (ΔG), enthalpy (ΔH), and entropy (ΔS), and the melting temperature (Tm)—directly from the experimental melting curves. Using gradient descent and a genetic algorithm, the duplex melting results were combined with the standard benchmark data to obtain bp parameters. Both the standard (Turner) model and a new model that includes length-dependent terms were tested. Both models could fit the standard benchmark data; however, the new model could handle longer sequences better. We developed an updated strategy for fitting the duplex melting data.
first_indexed 2024-03-10T07:36:36Z
format Article
id doaj.art-41bf6680903a4889ae3909c61af0c172
institution Directory Open Access Journal
issn 1661-6596
1422-0067
language English
last_indexed 2024-03-10T07:36:36Z
publishDate 2021-09-01
publisher MDPI AG
record_format Article
series International Journal of Molecular Sciences
spelling doaj.art-41bf6680903a4889ae3909c61af0c1722023-11-22T13:26:40ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672021-09-012218970810.3390/ijms22189708Developing an Updated Strategy for Estimating the Free-Energy Parameters in RNA DuplexesWayne K. Dawson0Amiu Shino1Gota Kawai2Ella Czarina Morishita3Veritas In Silico, 1-11-1 Nishigotanda, Shinagawa-ku, Tokyo 141-0031, JapanVeritas In Silico, 1-11-1 Nishigotanda, Shinagawa-ku, Tokyo 141-0031, JapanDepartment of Life Science, Faculty of Advanced Engineering, Chiba Institute of Technology, 2-17-1 Tsudanuma, Narashino-shi, Chiba 275-0016, JapanVeritas In Silico, 1-11-1 Nishigotanda, Shinagawa-ku, Tokyo 141-0031, JapanFor the last 20 years, it has been common lore that the free energy of RNA duplexes formed from canonical Watson–Crick base pairs (bps) can be largely approximated with dinucleotide bp parameters and a few simple corrective constants that are duplex independent. Additionally, the standard benchmark set of duplexes used to generate the parameters were GC-rich in the shorter duplexes and AU-rich in the longer duplexes, and the length of the majority of the duplexes ranged between 6 and 8 bps. We were curious if other models would generate similar results and whether adding longer duplexes of 17 bps would affect the conclusions. We developed a gradient-descent fitting program for obtaining free-energy parameters—the changes in Gibbs free energy (ΔG), enthalpy (ΔH), and entropy (ΔS), and the melting temperature (Tm)—directly from the experimental melting curves. Using gradient descent and a genetic algorithm, the duplex melting results were combined with the standard benchmark data to obtain bp parameters. Both the standard (Turner) model and a new model that includes length-dependent terms were tested. Both models could fit the standard benchmark data; however, the new model could handle longer sequences better. We developed an updated strategy for fitting the duplex melting data.https://www.mdpi.com/1422-0067/22/18/9708RNA secondary structurefree-energy parametersKuhn lengthcross-linking entropygradient-descent fitting programgenetic algorithm
spellingShingle Wayne K. Dawson
Amiu Shino
Gota Kawai
Ella Czarina Morishita
Developing an Updated Strategy for Estimating the Free-Energy Parameters in RNA Duplexes
International Journal of Molecular Sciences
RNA secondary structure
free-energy parameters
Kuhn length
cross-linking entropy
gradient-descent fitting program
genetic algorithm
title Developing an Updated Strategy for Estimating the Free-Energy Parameters in RNA Duplexes
title_full Developing an Updated Strategy for Estimating the Free-Energy Parameters in RNA Duplexes
title_fullStr Developing an Updated Strategy for Estimating the Free-Energy Parameters in RNA Duplexes
title_full_unstemmed Developing an Updated Strategy for Estimating the Free-Energy Parameters in RNA Duplexes
title_short Developing an Updated Strategy for Estimating the Free-Energy Parameters in RNA Duplexes
title_sort developing an updated strategy for estimating the free energy parameters in rna duplexes
topic RNA secondary structure
free-energy parameters
Kuhn length
cross-linking entropy
gradient-descent fitting program
genetic algorithm
url https://www.mdpi.com/1422-0067/22/18/9708
work_keys_str_mv AT waynekdawson developinganupdatedstrategyforestimatingthefreeenergyparametersinrnaduplexes
AT amiushino developinganupdatedstrategyforestimatingthefreeenergyparametersinrnaduplexes
AT gotakawai developinganupdatedstrategyforestimatingthefreeenergyparametersinrnaduplexes
AT ellaczarinamorishita developinganupdatedstrategyforestimatingthefreeenergyparametersinrnaduplexes