Single-Molecule Kinetic Theory of Heterogeneous and Enzyme Catalysis

2009 ◽  
Vol 113 (6) ◽  
pp. 2393-2404 ◽  
Author(s):  
Weilin Xu ◽  
Jason S. Kong ◽  
Peng Chen
2013 ◽  
Vol 104 (2) ◽  
pp. 372a
Author(s):  
Tatyana Terentyeva ◽  
Johan Hofkens ◽  
Chun-Biu Li ◽  
Kerstin Blank

2020 ◽  
Vol 124 (36) ◽  
pp. 7735-7744 ◽  
Author(s):  
Prasanta Kundu ◽  
Soma Saha ◽  
Gautam Gangopadhyay

Biochemistry ◽  
2005 ◽  
Vol 44 (51) ◽  
pp. 16835-16843 ◽  
Author(s):  
Nina M. Antikainen ◽  
R. Derike Smiley ◽  
Stephen J. Benkovic ◽  
Gordon G. Hammes

2005 ◽  
Vol 390 (1) ◽  
pp. 345-349 ◽  
Author(s):  
Aleix Ciudad ◽  
José María Sancho

We analysed published force–velocity data for kinesin using classical Michaelis–Menten kinetic theory and found that the effect of force on the stepping rate of kinesin is analogous to the effect of a mixed inhibitor in classical inhibition theory. We derived an analytical expression for the velocity of kinesin (the stepping rate, equal to the ATP turnover rate) as a function of ATP concentration and force, and showed that it accurately predicts the observed single molecule stepping rate of kinesin under a variety of conditions.


Author(s):  
Raul Perez-Jimenez ◽  
Jorge Alegre-Cebollada

2010 ◽  
Vol 26 (07) ◽  
pp. 1976-1987
Author(s):  
SU Xiao-Dong ◽  
◽  
◽  
JIN Jian-Shi ◽  
XIE Sunney Xiaoliang ◽  
...  

2018 ◽  
Vol 115 (39) ◽  
pp. 9738-9743 ◽  
Author(s):  
Felix Wong ◽  
Annwesha Dutta ◽  
Debashish Chowdhury ◽  
Jeremy Gunawardena

The Michaelis–Menten (MM) fundamental formula describes how the rate of enzyme catalysis depends on substrate concentration. The familiar hyperbolic relationship was derived by timescale separation for a network of three reactions. The same formula has subsequently been found to describe steady-state input–output responses in many biological contexts, including single-molecule enzyme kinetics, gene regulation, transcription, translation, and force generation. Previous attempts to explain its ubiquity have been limited to networks with regular structure or simplifying parametric assumptions. Here, we exploit the graph-based linear framework for timescale separation to derive general structural conditions under which the MM formula arises. The conditions require a partition of the graph into two parts, akin to a “coarse graining” into the original MM graph, and constraints on where and how the input variable occurs. Other features of the graph, including the numerical values of parameters, can remain arbitrary, thereby explaining the formula’s ubiquity. For systems at thermodynamic equilibrium, we derive a necessary and sufficient condition. For systems away from thermodynamic equilibrium, especially those with irreversible reactions, distinct structural conditions arise and a general characterization remains open. Nevertheless, our results accommodate, in much greater generality, all examples known to us in the literature.


Sign in / Sign up

Export Citation Format

Share Document