Stochastic Modeling of Single Molecule Michaelis Menten Kinetics

Physics – Chemical Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, 10 eps figures, revtex4

Scientific paper

We develop an general formalism of single enzyme kinetics in two dimension where substrates diffuse stochastically on a square lattice in presence of disorder. The dynamics of the model could be decoupled effectively to two stochastic processes, (a) the substrate arrives at the enzyme site in intervals which fluctuates in time and (b) the enzymatic reaction takes place at that site stochastically. We argue that distribution of arrival time is a two parameter function specified by the substrate and the disorder densities, and that it correctly reproduce the distribution of turnover time obtained from Monte-Carlo simulations of single enzyme kinetics in two dimension, both in absence and presence of disorder. The decoupled dynamics model is simple to implement and generic enough to describe both normal and anomalous diffusion of substrates. It also suggests that the diffusion of substrates in the single enzyme systems could explain the different distributions of turnover time observed in recent experiments.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Stochastic Modeling of Single Molecule Michaelis Menten Kinetics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Stochastic Modeling of Single Molecule Michaelis Menten Kinetics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stochastic Modeling of Single Molecule Michaelis Menten Kinetics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-566719

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.