Leland Gee

Dr. Leland Gee

SLAC National Accelerator Laboratory

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 March 2017 in Journal of the American Chemical Society
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Journal Article
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EREdward J. Reijerse
Edward J. Reijerse
CPCindy C. Pham
Cindy C. Pham
VPVladimir Pelmenschikov
Vladimir Pelmenschikov
RGRyan Gilbert-Wilson
Ryan Gilbert-Wilson
AAAgnieszka Adamska-Venkatesh
Agnieszka Adamska-Venkatesh
SCStephen P. Cramer
Stephen P. Cramer

10 August 2015 in Nature Communications
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Journal Article
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HOHideaki Ogata
Hideaki Ogata
TKTobias Krämer
Tobias Krämer
HWHongxin Wang
Hongxin Wang
DSDavid Schilter
David Schilter
VPVladimir Pelmenschikov
Vladimir Pelmenschikov
SCStephen P. Cramer
Stephen P. Cramer
The metabolism of many anaerobes relies on [NiFe]-hydrogenases, whose characterization when bound to substrates has proven non-trivial. Presented here is direct evidence for a hydride bridge in the active site of the 57Fe-labelled fully reduced Ni-R form of Desulfovibrio vulgaris Miyazaki F [NiFe]-hydrogenase. A unique ‘wagging’ mode involving H− motion perpendicular to the Ni(μ-H)57Fe plane was studied using 57Fe-specific nuclear resonance vibrational spectroscopy and density functional theory (DFT) calculations. On Ni(μ-D)57Fe deuteride substitution, this wagging causes a characteristic perturbation of Fe–CO/CN bands. Spectra have been interpreted by comparison with Ni(μ-H/D)57Fe enzyme mimics [(dppe)Ni(μ-pdt)(μ-H/D)57Fe(CO)3]+ and DFT calculations, which collectively indicate a low-spin Ni(II)(μ-H)Fe(II) core for Ni-R, with H− binding Ni more tightly than Fe. The present methodology is also relevant to characterizing Fe–H moieties in other important natural and synthetic catalysts.

14 December 2020 in Journal of the American Chemical Society
Verified
Journal Article
Closed access
GCGan Chen
Gan Chen
LGLeland Gee
Leland Gee
WXWenqian Xu
Wenqian Xu
YZYanbing Zhu
Yanbing Zhu
JLJuan S. Lezama-Pacheco
Juan S. Lezama-Pacheco
ZBZhenan Bao
Zhenan Bao

12 March 2019 in Journal of the American Chemical Society
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Journal Article
Closed access
MEMel Ehudin
Mel Ehudin
LGLeland Gee
Leland Gee
SSSinan Sabuncu
Sinan Sabuncu
ABAugustin Braun
Augustin Braun
PMPierre Moenne-Loccoz
Pierre Moenne-Loccoz
KKKenneth D. Karlin
Kenneth D. Karlin

30 October 2014 in Chemical Science
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Journal Article
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LLLars Lauterbach
Lars Lauterbach
HWHongxin Wang
Hongxin Wang
Marius HorchMarius Horch
Marius Horch
LGLeland Gee
Leland Gee
YYYoshitaka Yoda
Yoshitaka Yoda
SCStephen P. Cramer
Stephen P. Cramer
Hydrogenases are complex metalloenzymes that catalyze the reversible splitting of molecular hydrogen into protons and electrons essentially without overpotential. The NAD+-reducing soluble hydrogenase (SH) from Ralstonia eutropha is capable of H2 conversion even in the presence of usually toxic dioxygen. The molecular details of the underlying reactions are largely unknown, mainly because of limited knowledge of the structure and function of the various metal cofactors present in the enzyme. Here, all iron-containing cofactors of the SH were investigated by 57Fe specific nuclear resonance vibrational spectroscopy (NRVS). Our data provide experimental evidence for one [2Fe2S] center and four [4Fe4S] clusters, which is consistent with the amino acid sequence composition. Only the [2Fe2S] cluster and one of the four [4Fe4S] clusters were reduced upon incubation of the SH with NADH. This finding explains the discrepancy between the large number of FeS clusters and the small amount of FeS cluster-related signals as detected by electron paramagnetic resonance spectroscopic analysis of several NAD+-reducing hydrogenases. For the first time, Fe–CO and Fe–CN modes derived from the [NiFe] active site could be distinguished by NRVS through selective 13C labeling of the CO ligand. This strategy also revealed the molecular coordinates that dominate the individual Fe–CO modes. The present approach explores the complex vibrational signature of the Fe–S clusters and the hydrogenase active site, thereby showing that NRVS represents a powerful tool for the elucidation of complex biocatalysts containing multiple cofactors.