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Systematic Approach to Find the Global Minimum of Relaxation Dispersion Data for Protein-Induced B–Z Transition of DNA
Carr–Purcell–Meiboom–Gill (CPMG) relaxation dispersion spectroscopy is commonly used for quantifying conformational changes of protein in μs-to-ms timescale transitions. To elucidate the dynamics and mechanism of protein binding, parameters implementing CPMG relaxation dispersion results must be app...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037647/ https://www.ncbi.nlm.nih.gov/pubmed/33805331 http://dx.doi.org/10.3390/ijms22073517 |
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author | Oh, Kwang-Im Lee, Ae-Ree Choi, Seo-Ree Go, Youyeon Ryu, Kyoung-Seok Kim, Eun-Hee Lee, Joon-Hwa |
author_facet | Oh, Kwang-Im Lee, Ae-Ree Choi, Seo-Ree Go, Youyeon Ryu, Kyoung-Seok Kim, Eun-Hee Lee, Joon-Hwa |
author_sort | Oh, Kwang-Im |
collection | PubMed |
description | Carr–Purcell–Meiboom–Gill (CPMG) relaxation dispersion spectroscopy is commonly used for quantifying conformational changes of protein in μs-to-ms timescale transitions. To elucidate the dynamics and mechanism of protein binding, parameters implementing CPMG relaxation dispersion results must be appropriately determined. Building an analytical model for multi-state transitions is particularly complex. In this study, we developed a new global search algorithm that incorporates a random search approach combined with a field-dependent global parameterization method. The robust inter-dependence of the parameters carrying out the global search for individual residues (GSIR) or the global search for total residues (GSTR) provides information on the global minimum of the conformational transition process of the Zα domain of human ADAR1 (hZα(ADAR1))–DNA complex. The global search results indicated that a α-helical segment of hZα(ADAR1) provided the main contribution to the three-state conformational changes of a hZα(ADAR1)—DNA complex with a slow B–Z exchange process. The two global exchange rate constants, k(ex) and k(ZB), were found to be 844 and 9.8 s(−1), respectively, in agreement with two regimes of residue-dependent chemical shift differences—the “dominant oscillatory regime” and “semi-oscillatory regime”. We anticipate that our global search approach will lead to the development of quantification methods for conformational changes not only in Z-DNA binding protein (ZBP) binding interactions but also in various protein binding processes. |
format | Online Article Text |
id | pubmed-8037647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80376472021-04-12 Systematic Approach to Find the Global Minimum of Relaxation Dispersion Data for Protein-Induced B–Z Transition of DNA Oh, Kwang-Im Lee, Ae-Ree Choi, Seo-Ree Go, Youyeon Ryu, Kyoung-Seok Kim, Eun-Hee Lee, Joon-Hwa Int J Mol Sci Article Carr–Purcell–Meiboom–Gill (CPMG) relaxation dispersion spectroscopy is commonly used for quantifying conformational changes of protein in μs-to-ms timescale transitions. To elucidate the dynamics and mechanism of protein binding, parameters implementing CPMG relaxation dispersion results must be appropriately determined. Building an analytical model for multi-state transitions is particularly complex. In this study, we developed a new global search algorithm that incorporates a random search approach combined with a field-dependent global parameterization method. The robust inter-dependence of the parameters carrying out the global search for individual residues (GSIR) or the global search for total residues (GSTR) provides information on the global minimum of the conformational transition process of the Zα domain of human ADAR1 (hZα(ADAR1))–DNA complex. The global search results indicated that a α-helical segment of hZα(ADAR1) provided the main contribution to the three-state conformational changes of a hZα(ADAR1)—DNA complex with a slow B–Z exchange process. The two global exchange rate constants, k(ex) and k(ZB), were found to be 844 and 9.8 s(−1), respectively, in agreement with two regimes of residue-dependent chemical shift differences—the “dominant oscillatory regime” and “semi-oscillatory regime”. We anticipate that our global search approach will lead to the development of quantification methods for conformational changes not only in Z-DNA binding protein (ZBP) binding interactions but also in various protein binding processes. MDPI 2021-03-29 /pmc/articles/PMC8037647/ /pubmed/33805331 http://dx.doi.org/10.3390/ijms22073517 Text en © 2021 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 (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Oh, Kwang-Im Lee, Ae-Ree Choi, Seo-Ree Go, Youyeon Ryu, Kyoung-Seok Kim, Eun-Hee Lee, Joon-Hwa Systematic Approach to Find the Global Minimum of Relaxation Dispersion Data for Protein-Induced B–Z Transition of DNA |
title | Systematic Approach to Find the Global Minimum of Relaxation Dispersion Data for Protein-Induced B–Z Transition of DNA |
title_full | Systematic Approach to Find the Global Minimum of Relaxation Dispersion Data for Protein-Induced B–Z Transition of DNA |
title_fullStr | Systematic Approach to Find the Global Minimum of Relaxation Dispersion Data for Protein-Induced B–Z Transition of DNA |
title_full_unstemmed | Systematic Approach to Find the Global Minimum of Relaxation Dispersion Data for Protein-Induced B–Z Transition of DNA |
title_short | Systematic Approach to Find the Global Minimum of Relaxation Dispersion Data for Protein-Induced B–Z Transition of DNA |
title_sort | systematic approach to find the global minimum of relaxation dispersion data for protein-induced b–z transition of dna |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037647/ https://www.ncbi.nlm.nih.gov/pubmed/33805331 http://dx.doi.org/10.3390/ijms22073517 |
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