Extracting signal from noise: kinetic mechanisms from a Michaelis-Menten-like expression for enzymatic fluctuations

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Extracting signal from noise: kinetic mechanisms from a Michaelis-Menten-like expression for enzymatic fluctuations.

Enzyme-catalyzed reactions are naturally stochastic, and precision measurements of these fluctuations, made possible by single-molecule methods, promise to provide fundamentally new constraints on the possible mechanisms underlying these reactions. We review some aspects of statistical kinetics: a new field with the goal of extracting mechanistic information from statistical measures of fluctua...

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The parameters which characterize this equation, and which must ordinarily be estimated from the observed data, are ‘v,,,, the maximum initial velocity which is theoretically attained when the enzyme has been “saturated” by an infinite concentration of substrate, and K,, the Michaelis constant which is numerically equal to the concentration of substrate for half-maximal initial velocity. Since ...

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ژورنال

عنوان ژورنال: FEBS Journal

سال: 2013

ISSN: 1742-464X

DOI: 10.1111/febs.12545