Parallel versus off-pathway Michaelis-Menten mechanism for single-enzyme kinetics of a fluctuating enzyme
Ashutosh Kumar, Hiranmay Maity, Arti Dua

TL;DR
This paper models single-enzyme kinetics considering parallel and off-pathway mechanisms, revealing how enzyme fluctuations influence turnover times and explaining experimental deviations from classic Michaelis-Menten behavior.
Contribution
It provides an exact analytical framework for distinguishing between parallel and off-pathway enzyme mechanisms using turnover time distributions.
Findings
Parallel and off-pathway mechanisms show different substrate concentration dependencies.
Off-pathway mechanism with enzyme-substrate fluctuations explains experimental data.
Distinct fluctuation signatures help identify the operative mechanism.
Abstract
Recent fluorescence spectroscopy measurements of the turnover time distribution of single-enzyme turnover kinetics of -galactosidase provide evidence of Michaelis-Menten kinetics at low substrate concentration. However, at high substrate concentrations, the dimensionless variance of the turnover time distribution shows systematic deviations from the Michaelis-Menten prediction. This difference is attributed to conformational fluctuations in both the enzyme and the enzyme-substrate complex and to the possibility of both parallel and off-pathway kinetics. Here, we use the chemical master equation to model the kinetics of a single fluctuating enzyme that can yield a product through either parallel or off-pathway mechanisms. An exact expression is obtained for the turnover time distribution from which the mean turnover time and randomness parameters are calculated. The parallel and…
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