PDSFit: PDS data analysis in the presence of orientation selectivity, g-anisotropy, and exchange coupling.

DEER EPR PELDOR RIDME genetic algorithm

Journal

Magnetic resonance in chemistry : MRC
ISSN: 1097-458X
Titre abrégé: Magn Reson Chem
Pays: England
ID NLM: 9882600

Informations de publication

Date de publication:
Jan 2024
Historique:
revised: 24 10 2023
received: 04 08 2023
accepted: 01 11 2023
medline: 22 12 2023
pubmed: 22 12 2023
entrez: 22 12 2023
Statut: ppublish

Résumé

Pulsed dipolar electron paramagnetic resonance spectroscopy (PDS), encompassing techniques such as pulsed electron-electron double resonance (PELDOR or DEER) and relaxation-induced dipolar modulation enhancement (RIDME), is a valuable method in structural biology and materials science for obtaining nanometer-scale distance distributions between electron spin centers. An important aspect of PDS is the extraction of distance distributions from the measured time traces. Most software used for this PDS data analysis relies on simplifying assumptions, such as assuming isotropic g-factors of ~2 and neglecting orientation selectivity and exchange coupling. Here, the program PDSFit is introduced, which enables the analysis of PELDOR and RIDME time traces with or without orientation selectivity. It can be applied to spin systems consisting of up to two spin centers with anisotropic g-factors and to spin systems with exchange coupling. It employs a model-based fitting of the time traces using parametrized distance and angular distributions, and parametrized PDS background functions. The fitting procedure is followed by an error analysis for the optimized parameters of the distributions and backgrounds. Using five different experimental data sets published previously, the performance of PDSFit is tested and found to provide reliable solutions.

Identifiants

pubmed: 38130168
doi: 10.1002/mrc.5415
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

37-60

Subventions

Organisme : University of Bonn
Organisme : Deutsche Forschungsgemeinschaft
ID : 420322655
Organisme : Research Foundation

Informations de copyright

© 2023 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd.

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Auteurs

Dinar Abdullin (D)

Clausius-Institute of Physical and Theoretical Chemistry, University of Bonn, Bonn, Germany.

Pablo Rauh Corro (P)

Clausius-Institute of Physical and Theoretical Chemistry, University of Bonn, Bonn, Germany.

Tobias Hett (T)

Clausius-Institute of Physical and Theoretical Chemistry, University of Bonn, Bonn, Germany.

Olav Schiemann (O)

Clausius-Institute of Physical and Theoretical Chemistry, University of Bonn, Bonn, Germany.

Classifications MeSH