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. Author manuscript; available in PMC: 2016 Sep 7.
Published in final edited form as: Nat Rev Mol Cell Biol. 2014 Aug 16;15(9):615–628. doi: 10.1038/nrm3853

Figure 6. Mathematical modeling framework for bidirectional transport models.

Figure 6

Hypothetical mechanisms can be explored and quantitatively tested using mathematical models of cargo transport by kinesin and dynein motors. On a given cargo, there are N kinesin motors (Kin1 to KinN) and M dynein motors (Dyn1 to DynM). Motor states are defined generically as On and Off, with different hypothetical mechanisms having different definitions of the on- and off-states (given at the right in order: microtubule tethering, mechanical activation, and steric disinhibition). For each motor, the rate constant k+ defines the rate that the motor switches from the off-state to the on-state, and the rate constant k defines the rate that the motor switches from the on-state to the off-state. These switching rates depend on different variables in the system (such as the force acting on that motor, the cargo position, or the activity of the opposing motors), and the switching rate magnitudes and parameter dependencies are the principal determinants of overall model behavior. The different hypothetical mechanisms presented in Figure 5 will have different dependencies for their switching rates; for example, the k+ dependencies for the three hypothetical mechanisms are given at the right. These models readily lend themselves to standard Monte Carlo (Gillespie Stochastic Simulation Algorithm164) approaches.