The DOI matches its Crossref record; 164 of the 164 references it cites were found in a registry or an index.
Electron Flow through Metalloproteins
Open accessAbstract
Electron flow through proteins and protein assemblies in the \nphotosynthetic and respiratory machinery commonly occurs \nbetween metal centers or other redox cofactors that are \nseparated by relatively large molecular distances, often in the \n10−20 Å range. To inorganic chemists, such long-distance \nelectron transfer was a mystery for many years, as we were \naccustomed to close-contact models for the transition states of \nsimple self-exchange reactions between metal ions in aqueous \nsolution. One of our favorite reactions was the ferrous/ferric \nself-exchange, which had been investigated thoroughly by \nRichard (Dick) Dodson at the Brookhaven National Laboratory \nin the 1940s (and published in Journal of the American Chemical \nSociety in 1950). Dodson showed that the half-time for this \nreaction was on the order of seconds, which he noted was “fast” \nbut in today’s femtosecond world is very “slow”. Indeed, this \nvery simple electron transfer, where no bonds are formed or \nbroken, was found to be orders of magnitude slower than long-distance electron flow through metalloprotein molecules. How could this be?
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Cites
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Genzink, M. J., Kidd, J. B., Swords, W. B., & Yoon, T. P. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00467 · Cited by 420
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Self-citationStereoselective amino acid synthesis by synergistic photoredox-pyridoxal radical biocatalysis
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De Novo Design and Characterization of Copper Metallopeptides Inspired by Native Cupredoxins
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Metadata
- Authors
- Winkler, J. R., & Gray, H. B.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-11-27
- Volume
- 114
- Issue
- 7
- Pages
- 3369-3380
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2043821600
- Cited by
- 311
- References
- 164
- FWCI
- 1.13
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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