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Benchmark Study of Redox Potential Calculations for Iron–Sulfur Clusters in Proteins

[Image: see text] Redox potentials have been calculated for 12 different iron–sulfur sites of 6 different types with 1–4 iron ions. Structures were optimized with combined quantum mechanical and molecular mechanical (QM/MM) methods, and the redox potentials were calculated using the QM/MM energies,...

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Autores principales: Jafari, Sonia, Tavares Santos, Yakini A., Bergmann, Justin, Irani, Mehdi, Ryde, Ulf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044450/
https://www.ncbi.nlm.nih.gov/pubmed/35403427
http://dx.doi.org/10.1021/acs.inorgchem.1c03422
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author Jafari, Sonia
Tavares Santos, Yakini A.
Bergmann, Justin
Irani, Mehdi
Ryde, Ulf
author_facet Jafari, Sonia
Tavares Santos, Yakini A.
Bergmann, Justin
Irani, Mehdi
Ryde, Ulf
author_sort Jafari, Sonia
collection PubMed
description [Image: see text] Redox potentials have been calculated for 12 different iron–sulfur sites of 6 different types with 1–4 iron ions. Structures were optimized with combined quantum mechanical and molecular mechanical (QM/MM) methods, and the redox potentials were calculated using the QM/MM energies, single-point QM methods in a continuum solvent or by QM/MM thermodynamic cycle perturbations. We show that the best results are obtained with a large QM system (∼300 atoms, but a smaller QM system, ∼150 atoms, can be used for the QM/MM geometry optimization) and a large value of the dielectric constant (80). For absolute redox potentials, the B3LYP density functional method gives better results than TPSS, and the results are improved with a larger basis set. However, for relative redox potentials, the opposite is true. The results are insensitive to the force field (charges of the surroundings) used for the QM/MM calculations or whether the protein and solvent outside the QM system are relaxed or kept fixed at the crystal structure. With the best approach for relative potentials, mean absolute and maximum deviations of 0.17 and 0.44 V, respectively, are obtained after removing a systematic error of −0.55 V. Such an approach can be used to identify the correct oxidation states involved in a certain redox reaction.
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spelling pubmed-90444502022-04-27 Benchmark Study of Redox Potential Calculations for Iron–Sulfur Clusters in Proteins Jafari, Sonia Tavares Santos, Yakini A. Bergmann, Justin Irani, Mehdi Ryde, Ulf Inorg Chem [Image: see text] Redox potentials have been calculated for 12 different iron–sulfur sites of 6 different types with 1–4 iron ions. Structures were optimized with combined quantum mechanical and molecular mechanical (QM/MM) methods, and the redox potentials were calculated using the QM/MM energies, single-point QM methods in a continuum solvent or by QM/MM thermodynamic cycle perturbations. We show that the best results are obtained with a large QM system (∼300 atoms, but a smaller QM system, ∼150 atoms, can be used for the QM/MM geometry optimization) and a large value of the dielectric constant (80). For absolute redox potentials, the B3LYP density functional method gives better results than TPSS, and the results are improved with a larger basis set. However, for relative redox potentials, the opposite is true. The results are insensitive to the force field (charges of the surroundings) used for the QM/MM calculations or whether the protein and solvent outside the QM system are relaxed or kept fixed at the crystal structure. With the best approach for relative potentials, mean absolute and maximum deviations of 0.17 and 0.44 V, respectively, are obtained after removing a systematic error of −0.55 V. Such an approach can be used to identify the correct oxidation states involved in a certain redox reaction. American Chemical Society 2022-04-11 2022-04-25 /pmc/articles/PMC9044450/ /pubmed/35403427 http://dx.doi.org/10.1021/acs.inorgchem.1c03422 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Jafari, Sonia
Tavares Santos, Yakini A.
Bergmann, Justin
Irani, Mehdi
Ryde, Ulf
Benchmark Study of Redox Potential Calculations for Iron–Sulfur Clusters in Proteins
title Benchmark Study of Redox Potential Calculations for Iron–Sulfur Clusters in Proteins
title_full Benchmark Study of Redox Potential Calculations for Iron–Sulfur Clusters in Proteins
title_fullStr Benchmark Study of Redox Potential Calculations for Iron–Sulfur Clusters in Proteins
title_full_unstemmed Benchmark Study of Redox Potential Calculations for Iron–Sulfur Clusters in Proteins
title_short Benchmark Study of Redox Potential Calculations for Iron–Sulfur Clusters in Proteins
title_sort benchmark study of redox potential calculations for iron–sulfur clusters in proteins
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044450/
https://www.ncbi.nlm.nih.gov/pubmed/35403427
http://dx.doi.org/10.1021/acs.inorgchem.1c03422
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