Abstract
Original language | English |
---|---|
Journal | Journal of Inorganic Biochemistry |
Volume | 102 |
Issue number | 1 |
Pages (from-to) | 87-100 |
ISSN | 0162-0134 |
DOIs | |
Publication status | Published - 2008 |
Keywords
- Density functional theory
- Reorganization energy
- Electron transfer
- Iron–sulfur proteins
- Reduction potential
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Computational studies of modified [Fe3S4] clusters: Why iron is optimal. / Kepp, Kasper Planeta.
In: Journal of Inorganic Biochemistry, Vol. 102, No. 1, 2008, p. 87-100.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - Computational studies of modified [Fe3S4] clusters: Why iron is optimal
AU - Kepp, Kasper Planeta
PY - 2008
Y1 - 2008
N2 - This work reports density functional computations of metal-substituted models of biological [Fe3S4] clusters in oxidation states [MFe2S4]+/0/−1 (M = Mn, Fe, Co, Ni, Cu, Zn, and Mo). Geometry optimization with a dielectric screening model is shown to provide a substantial improvement in structure, compared to earlier used standard procedures. The error for average Fe–S bonds decreased from 0.038 Å to 0.016 Å with this procedure. Four density functionals were compared, B3LYP, BP86, TPSS, and TPSSh. B3LYP and to a lesser extent TPSSh energies were inconsistent with experiment for the oxidized [Fe3S4]+ cluster. BP86 (and to a slightly lesser extent TPSS) was within expected theoretical and experimental uncertainties for all oxidation states, the only qualitative error being 5 kJ/mol in favor of the MS = 3/2 configuration for the [Fe3S4]+ cluster, so BP86 was used for quantitative results. Computed reorganization energies and reduction potentials point directly towards the [Fe3S4] cluster as the superior choice of electron carrier, with the [ZnFe2S4] cluster a close second. In addition, partially and fully Mo-substituted clusters were investigated and found to have very low reorganization energies but too negative reduction potentials. The results provide a direct rationale why any substitution weakens the cluster as an electron carrier, and thus why the [Fe3S4] composition is optimal in the biological clusters.
AB - This work reports density functional computations of metal-substituted models of biological [Fe3S4] clusters in oxidation states [MFe2S4]+/0/−1 (M = Mn, Fe, Co, Ni, Cu, Zn, and Mo). Geometry optimization with a dielectric screening model is shown to provide a substantial improvement in structure, compared to earlier used standard procedures. The error for average Fe–S bonds decreased from 0.038 Å to 0.016 Å with this procedure. Four density functionals were compared, B3LYP, BP86, TPSS, and TPSSh. B3LYP and to a lesser extent TPSSh energies were inconsistent with experiment for the oxidized [Fe3S4]+ cluster. BP86 (and to a slightly lesser extent TPSS) was within expected theoretical and experimental uncertainties for all oxidation states, the only qualitative error being 5 kJ/mol in favor of the MS = 3/2 configuration for the [Fe3S4]+ cluster, so BP86 was used for quantitative results. Computed reorganization energies and reduction potentials point directly towards the [Fe3S4] cluster as the superior choice of electron carrier, with the [ZnFe2S4] cluster a close second. In addition, partially and fully Mo-substituted clusters were investigated and found to have very low reorganization energies but too negative reduction potentials. The results provide a direct rationale why any substitution weakens the cluster as an electron carrier, and thus why the [Fe3S4] composition is optimal in the biological clusters.
KW - Density functional theory
KW - Reorganization energy
KW - Electron transfer
KW - Iron–sulfur proteins
KW - Reduction potential
U2 - 10.1016/j.jinorgbio.2007.07.025
DO - 10.1016/j.jinorgbio.2007.07.025
M3 - Journal article
VL - 102
SP - 87
EP - 100
JO - Journal of Inorganic Biochemistry
JF - Journal of Inorganic Biochemistry
SN - 0162-0134
IS - 1
ER -