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Volume 10, Issue 8 (Suppl)

J Proteomics Bioinform, an open access journal

ISSN: 0974-276X

Structural Biology 2017

September 18-20, 2017

9

th

International Conference on

Structural Biology

September 18-20, 2017 Zurich, Switzerland

Hagen Hofmann et al., J Proteomics Bioinform 2017, 10:8(Suppl)

DOI: 10.4172/0974-276X-C1-0100

Slow domain reconfiguration causes power law kinetics in a two-state enzyme

Hagen Hofmann, Iris Grossman Haham, Gabriel Rosenblum

and

Trishool Namani

Weizmann Institute of Science, Israel

C

onformational transitions in proteins are typically captured well by rate equations that predict exponential kinetics for

two-state reactions. Here, we describe a remarkable exception. The electron-transfer enzyme quiescin sulfhydryl oxidase

(QSOX), a natural fusion of two functionally distinct domains, switches between open and closed domain arrangements with

apparent power law kinetics. Using single-molecule Foerster resonance energy transfer (FRET) experiments on timescales

from nanoseconds to milliseconds, we showed that the unusual open-close kinetics results from slow domain rearrangements

in a heterogeneous ensemble of open conformers. While substrate accelerates the kinetics, thus suggesting a substrate-induced

switch to an alternative free energy landscape of the enzyme, the power-law behavior is also preserved upon electron load.

Our results show that conformational multiplicity with slow sampling dominates the motions of QSOX, thus providing an

explanation for catalytic memory effects in other enzymes.

Biography

Hagen Hofmann received his PhD from the Martin Luther University Halle-Wittenberg (Germany) in 2008. In the period 2008 - 2014, he was a Postdoctoral Fellow

at the University of Zurich in the group of Benjamin Schuler and since 2014 he is heading the “Molecular Systems Biophysics” group at the Weizmann Institute of

Science (Israel). He and his group use a broad set of single-molecule fluorescence tools to understand the dynamics of proteins and protein networks on timescales

from nanoseconds to hours. In addition, live-cell imaging,

in vivo

single-molecule FRET, and single particle tracking is used to monitor proteins in live cells. His

interest ranges from the physics of disordered proteins over coupled binding and folding reactions up to stochastic genetic circuits and regulatory protein networks.

hagen.hofmann@weizmann.ac.il