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How accurate are PRE-derived distances? Combined MD and experimental study of spin-labeled GB1 domain. / Лебеденко, Ольга Олеговна; Измайлов, Сергей Александрович; Лузик, Дмитрий Александрович; Скрынников, Николай Русланович.

в: Biophysical Journal, Том 120, № 3 Supp,.1, 371, 12.02.2021, стр. 76A-77A.

Результаты исследований: Научные публикации в периодических изданияхтезисыРецензирование

Harvard

Лебеденко, ОО, Измайлов, СА, Лузик, ДА & Скрынников, НР 2021, 'How accurate are PRE-derived distances? Combined MD and experimental study of spin-labeled GB1 domain', Biophysical Journal, Том. 120, № 3 Supp,.1, 371, стр. 76A-77A. https://doi.org/10.1016/j.bpj.2020.11.679

APA

Vancouver

Лебеденко ОО, Измайлов СА, Лузик ДА, Скрынников НР. How accurate are PRE-derived distances? Combined MD and experimental study of spin-labeled GB1 domain. Biophysical Journal. 2021 Февр. 12;120(3 Supp,.1):76A-77A. 371. https://doi.org/10.1016/j.bpj.2020.11.679

Author

Лебеденко, Ольга Олеговна ; Измайлов, Сергей Александрович ; Лузик, Дмитрий Александрович ; Скрынников, Николай Русланович. / How accurate are PRE-derived distances? Combined MD and experimental study of spin-labeled GB1 domain. в: Biophysical Journal. 2021 ; Том 120, № 3 Supp,.1. стр. 76A-77A.

BibTeX

@article{613bb9b4828143e5a0691d88f6fce46e,
title = "How accurate are PRE-derived distances? Combined MD and experimental study of spin-labeled GB1 domain",
abstract = "tructural analyses of proteins by NMR often rely on paramagnetic relaxation enhancement (PRE) data. This is especially true for challenging protein targets, e.g. large, unstable or poorly soluble proteins. To acquire PRE data, protein samples are labeled with a paramagnetic tag, such as MTSL, and the resulting attenuation of peak intensities in the 1HN,15N-HSQC spectra is measured. However, the relationship between the PRE rates and the distances r from paramagnetic center to specific 1HN atoms is subject to considerable uncertainty (mainly due to conformational mobility of the tag). To explore this relationship, we have measured the PRE effect in five MTSL-labeled variants of the popular model protein GB1. We have also recorded MD trajectories of these constructs with the net length of 50 μs. The trajectories were used to calculate PRE rates, which were subsequently compared with the experimental results. Using this combined experimental and theoretical framework, we investigated the approximations that are commonly used in the analyses of the PRE effect, e.g. the assumption that fluctuations of the distance r and angle θ for dipolar interaction between 1HN and electron spin are uncorrelated. We found that in most cases simple Gillespie-Shortle formula provides an adequate tool to extract distances from the PRE data. Specifically, for N8C-, K28C- and T44C-MTSL structural models can be built where the position of paramagnetic center is adjusted such as to reproduce all PRE-extracted distances. On the other hand, K10C- and E15C-MTSL adopt unusual conformations with MTSL tag packed at the periphery of the protein hydrophobic core (accompanied by visible distortions of the fold). This behavior causes poor agreement between the predicted and experimental PREs, suggesting that force-field parameters of the MTSL tag may need an improvement. Support: SPbU grant 51142660.",
author = "Лебеденко, {Ольга Олеговна} and Измайлов, {Сергей Александрович} and Лузик, {Дмитрий Александрович} and Скрынников, {Николай Русланович}",
year = "2021",
month = feb,
day = "12",
doi = "10.1016/j.bpj.2020.11.679",
language = "English",
volume = "120",
pages = "76A--77A",
journal = "Biophysical Journal",
issn = "0006-3495",
publisher = "Cell Press",
number = "3 Supp,.1",
note = "65th Annual Meeting of the Biophysical Society, BPS2021 ; Conference date: 22-02-2021 Through 26-02-2021",
url = "https://www.biophysics.org/blog/join-us-february-22-26-for-the-biophysical-society-65th-annual-meeting-online",

}

RIS

TY - JOUR

T1 - How accurate are PRE-derived distances? Combined MD and experimental study of spin-labeled GB1 domain

AU - Лебеденко, Ольга Олеговна

AU - Измайлов, Сергей Александрович

AU - Лузик, Дмитрий Александрович

AU - Скрынников, Николай Русланович

PY - 2021/2/12

Y1 - 2021/2/12

N2 - tructural analyses of proteins by NMR often rely on paramagnetic relaxation enhancement (PRE) data. This is especially true for challenging protein targets, e.g. large, unstable or poorly soluble proteins. To acquire PRE data, protein samples are labeled with a paramagnetic tag, such as MTSL, and the resulting attenuation of peak intensities in the 1HN,15N-HSQC spectra is measured. However, the relationship between the PRE rates and the distances r from paramagnetic center to specific 1HN atoms is subject to considerable uncertainty (mainly due to conformational mobility of the tag). To explore this relationship, we have measured the PRE effect in five MTSL-labeled variants of the popular model protein GB1. We have also recorded MD trajectories of these constructs with the net length of 50 μs. The trajectories were used to calculate PRE rates, which were subsequently compared with the experimental results. Using this combined experimental and theoretical framework, we investigated the approximations that are commonly used in the analyses of the PRE effect, e.g. the assumption that fluctuations of the distance r and angle θ for dipolar interaction between 1HN and electron spin are uncorrelated. We found that in most cases simple Gillespie-Shortle formula provides an adequate tool to extract distances from the PRE data. Specifically, for N8C-, K28C- and T44C-MTSL structural models can be built where the position of paramagnetic center is adjusted such as to reproduce all PRE-extracted distances. On the other hand, K10C- and E15C-MTSL adopt unusual conformations with MTSL tag packed at the periphery of the protein hydrophobic core (accompanied by visible distortions of the fold). This behavior causes poor agreement between the predicted and experimental PREs, suggesting that force-field parameters of the MTSL tag may need an improvement. Support: SPbU grant 51142660.

AB - tructural analyses of proteins by NMR often rely on paramagnetic relaxation enhancement (PRE) data. This is especially true for challenging protein targets, e.g. large, unstable or poorly soluble proteins. To acquire PRE data, protein samples are labeled with a paramagnetic tag, such as MTSL, and the resulting attenuation of peak intensities in the 1HN,15N-HSQC spectra is measured. However, the relationship between the PRE rates and the distances r from paramagnetic center to specific 1HN atoms is subject to considerable uncertainty (mainly due to conformational mobility of the tag). To explore this relationship, we have measured the PRE effect in five MTSL-labeled variants of the popular model protein GB1. We have also recorded MD trajectories of these constructs with the net length of 50 μs. The trajectories were used to calculate PRE rates, which were subsequently compared with the experimental results. Using this combined experimental and theoretical framework, we investigated the approximations that are commonly used in the analyses of the PRE effect, e.g. the assumption that fluctuations of the distance r and angle θ for dipolar interaction between 1HN and electron spin are uncorrelated. We found that in most cases simple Gillespie-Shortle formula provides an adequate tool to extract distances from the PRE data. Specifically, for N8C-, K28C- and T44C-MTSL structural models can be built where the position of paramagnetic center is adjusted such as to reproduce all PRE-extracted distances. On the other hand, K10C- and E15C-MTSL adopt unusual conformations with MTSL tag packed at the periphery of the protein hydrophobic core (accompanied by visible distortions of the fold). This behavior causes poor agreement between the predicted and experimental PREs, suggesting that force-field parameters of the MTSL tag may need an improvement. Support: SPbU grant 51142660.

UR - https://www.mendeley.com/catalogue/73bab4ff-7cd2-3abb-911b-1efafbc181d1/

U2 - 10.1016/j.bpj.2020.11.679

DO - 10.1016/j.bpj.2020.11.679

M3 - Meeting Abstract

VL - 120

SP - 76A-77A

JO - Biophysical Journal

JF - Biophysical Journal

SN - 0006-3495

IS - 3 Supp,.1

M1 - 371

T2 - 65th Annual Meeting of the Biophysical Society

Y2 - 22 February 2021 through 26 February 2021

ER -

ID: 74224466