Mark Van der Auweraer

Dr. Mark Van der Auweraer


Research Focus & Metrics

Academic Career Length

48Years (1979-Present)

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

Representative Publications

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2 August 2006 in Chemistry of Materials
Verified
Journal Article
Closed access
XCX. Crispin
X. Crispin
FJF. L. E. Jakobsson
F. L. E. Jakobsson
ACA. Crispin
A. Crispin
PGP. C. M. Grim
P. C. M. Grim
Peter Andersson ErsmanPeter Andersson Ersman
Peter Andersson Ersman
MBM. Berggren
M. Berggren

1 April 2008 in Angewandte Chemie International Edition
Verified
Journal Article
Closed access
PDF file
SLShengbin Lei
Shengbin Lei
KTKazukuni Tahara
Kazukuni Tahara
FSFrans C. De Schryver
Frans C. De Schryver
MAMark Van der Auweraer
Mark Van der Auweraer
YTYoshito Tobe
Yoshito Tobe
SFSteven De Feyter
Steven De Feyter

4 February 2005 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
OFOphir Flomenbom
Ophir Flomenbom
Kelly VeloniaKelly Velonia
Kelly Velonia
DLDavey Loos
Davey Loos
SMSadahiro Masuo
Sadahiro Masuo
MCMircea Cotlet
Mircea Cotlet
JKJoseph Klafter
Joseph Klafter
Single-molecule techniques offer a unique tool for studying the dynamical behavior of individual molecules and provide the possibility to construct distributions from individual events rather than from a signal stemming from an ensemble of molecules. In biological systems, known for their complexity, these techniques make it possible to gain insights into the detailed spectrum of molecular conformational changes and activities. Here, we report on the direct observation of a single lipase-catalyzed reaction for extended periods of time (hours), by using confocal fluorescence microscopy. When adding a profluorescent substrate, the monitored enzymatic activity appears as a trajectory of “on-state” and “off-state” events. The waiting time probability density function of the off state and the state-correlation function fit stretched exponentials, independent of the substrate concentration in a certain range. The data analysis unravels oscillations in the logarithmic derivative of the off-state waiting time probability density function and correlations between off-state events. These findings imply that the fluctuating enzyme model, which involves a spectrum of enzymatic conformations that interconvert on the time scale of the catalytic activity, best describes the observed enzymatic activity. Based on this model, values for the coupling and reaction rates are extracted.

1 August 2005 in The Journal of Physical Chemistry A
Verified
Journal Article
Closed access
WQWenwu Qin
Wenwu Qin
MBMukulesh Baruah
Mukulesh Baruah
MAMark Van der Auweraer
Mark Van der Auweraer
FSFrans C. De Schryver
Frans C. De Schryver
NBNoël Boens
Noël Boens

7 December 2004 in Accounts of Chemical Research
Verified
Journal Article
Closed access
FSF. C. De Schryver
F. C. De Schryver
TVT. Vosch
T. Vosch
MCM. Cotlet
M. Cotlet
MAMark Van der Auweraer
Mark Van der Auweraer
KMK. Müllen
K. Müllen
JHJohan Hofkens
Johan Hofkens

17 September 2018 in Advanced Materials
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Journal Article
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JSJulian Steele
Julian Steele
WPWeicheng Pan
Weicheng Pan
CMCristina Martin
Cristina Martin
MKMasoumeh Keshavarz
Masoumeh Keshavarz
Elke DebroyeElke Debroye
Elke Debroye
Maarten RoeffaersMaarten Roeffaers
Maarten Roeffaers