Chemical Exchange at the Trinuclear Copper Center of Small Laccase from Streptomyces coelicolor
Chemical Exchange at the Trinuclear Copper Center of Small Laccase from Streptomyces coelicolor
The trinuclear copper center (TNC) of laccase reduces oxygen to water with very little overpotential. The arrangement of the coppers and ligands in the TNC is known to be from many crystal structures, yet information about possible dynamics of the ligands is absent. Here, we report dynamics at the TNC of small laccase from Streptomyces coelicolor using paramagnetic NMR and electron paramagnetic resonance spectroscopy. Fermi contact-shifted resonances tentatively assigned to histidine Hδ1 display a two-state chemical exchange with exchange rates in the order of 100 s-1. In the electron paramagnetic resonance spectra, at least two forms are observed with different gz-values. It is proposed that the exchange processes reflect the rotational motion of histidine imidazole rings that coordinate the coppers in the TNC.
- Leiden University Netherlands
Magnetic Resonance Spectroscopy, Biophysical Letter, Laccase, Electron Spin Resonance Spectroscopy, Streptomyces coelicolor, Copper
Magnetic Resonance Spectroscopy, Biophysical Letter, Laccase, Electron Spin Resonance Spectroscopy, Streptomyces coelicolor, Copper
3 Research products, page 1 of 1
- 2008IsRelatedTo
- 2010IsRelatedTo
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).18 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
