Statistical analyses of the oxidized P-clusters in MoFe proteins using the bond-valence method: towards their electron transfer in nitrogenases
26 well selected oxidized P-clusters (P ) from the crystallographic data deposited in the Protein Data Bank have been analysed statistically by the bond-valence sum method with weighting schemes for MoFe proteins at different resolutions. Interestingly, the oxidation states of P clusters correspond...
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Published in | Acta crystallographica. Section D, Biological crystallography. Vol. 79; no. Pt 5; pp. 401 - 408 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.05.2023
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Subjects | |
Online Access | Get full text |
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Summary: | 26 well selected oxidized P-clusters (P
) from the crystallographic data deposited in the Protein Data Bank have been analysed statistically by the bond-valence sum method with weighting schemes for MoFe proteins at different resolutions. Interestingly, the oxidation states of P
clusters correspond to Fe
Fe
with high electron delocalization, showing the same oxidation states as the resting states of P-clusters (P
) in nitrogenases. The previously uncertain reduction of P
to P
clusters by two electrons was assigned as a double protonation of P
, in which decoordination of the serine residue and the peptide chain of cysteine take place, in MoFe proteins. This is further supported by the obviously shorter α-alkoxy C-O bond (average of 1.398 Å) in P
clusters and longer α-hydroxy C-O bond (average of 1.422 Å) in P
clusters, while no change is observed in the electronic structures of Fe
S
Fe atoms in P-clusters. Spatially, the calculations show that Fe3 and Fe6, the most oxidized and most reduced Fe atoms, have the shortest distances of 9.329 Å from the homocitrate in the FeMo cofactor and 14.947 Å from the [Fe
S
] cluster, respectively, and may well function as important electron-transport sites. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0907-4449 2059-7983 1399-0047 |
DOI: | 10.1107/S2059798323002474 |