APS March Meeting 2012
Volume 57, Number 1
Monday–Friday, February 27–March 2 2012;
Boston, Massachusetts
Session V40: Focus Session: Single Molecule Biological Physics - Proteins
8:00 AM–11:00 AM,
Thursday, March 1, 2012
Room: 156A
Sponsoring
Units:
DBIO DPOLY DCOMP
Chair: Everett Lipman, University of California, Santa Barbara
Abstract ID: BAPS.2012.MAR.V40.5
Abstract: V40.00005 : Conformational-Modulated Enzyme Catalysis: Generalized Michaelis-Menten Equation and Single Molecule Measurements
9:12 AM–9:48 AM
Preview Abstract
Abstract
Author:
Jianshu Cao
(Massachusetts Institute of Technology)
The Michaelis-Menten (MM) equation is a basic rate equation to describe the
substrate-dependence of enzymatic reactions; therefore, it is important to
establish the validity of the MM-equation for complex enzymatic reactions
and derive the correction terms when the MM equation fails. Indeed, single
molecule experiments reveal complex catalytic behaviors induced by
conformational dynamics and possible deviations from the MM rate equation.
To model such complex catalytic reactions, we construct a generic kinetic
network model characterized by multiple intermediates and multiple
conformational sub-states and, by solving for the turnover rate of this
network, we extend the MM equation into a general form. The generalized MM
equation predicts that (i) the MM equation holds under detailed balance and
(ii) the correction to the MM expression depends on the unbalanced
conformational currents. Using these predictions, we can establish a
relationship between the substrate-dependence of the turnover rate and the
connectivity of the enzymatic network.
To confirm these predictions, we propose several single molecule indicators
to test the violations of detailed balance. However, these single molecule
indicators may be difficult to resolve from noisy single molecule data. To
address these issues, we propose information theory based data analysis
methods to process single molecule time series, and apply the Baysian
technique to analyze a single protein fluctuation experiment.
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[1] Jianlan Wu and Jianshu Cao, ``Generalized Michaelis-Menten equation for
conformation modulated monomeric enzymes,'' in Adv. Chem. Phys. (2011)
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[2] Jianshu Cao, ``Michaelis-Menten Equation and Detailed Balance in
Enzymatic Networks,'' JPC B, P5493 (2001)
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[3] Jianshu Cao and Rob Silbey, ``Generic models of single molecule kinetics:
self-consistent solutions,'' JPC B, 112, p12876 (2008) feature article
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[4] Jim Witkoskie and Jianshu Cao, ``Analysis of the entire sequence of a
single photon experiment on a Flavin Protein,'' JPC B, 112, p5988-5991 (2008)
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2012.MAR.V40.5