Stochastic dynamics of small ensembles of non-processive molecular motors: the parallel cluster model
Thorsten Erdmann, Philipp J. Albert, Ulrich S. Schwarz

TL;DR
This paper presents an analytically tractable stochastic model for small ensembles of non-processive myosin II motors, revealing how catch bond behavior influences force generation and ensemble dynamics under load.
Contribution
The authors introduce the parallel cluster model, a simplified yet detailed analytical framework for small myosin II ensembles, incorporating catch bond effects and load sharing.
Findings
Catch bond behavior enhances motor attachment under load.
Ensemble force-velocity relation follows a Hill-type curve.
Ensembles adapt to external springs, with a transition point where power strokes cease.
Abstract
Non-processive molecular motors have to work together in ensembles in order to generate appreciable levels of force or movement. In skeletal muscle, for example, hundreds of myosin II molecules cooperate in thick filaments. In non-muscle cells, by contrast, small groups with few tens of non-muscle myosin II motors contribute to essential cellular processes such as transport, shape changes or mechanosensing. Here we introduce a detailed and analytically tractable model for this important situation. Using a three-state crossbridge model for the myosin II motor cycle and exploiting the assumptions of fast power stroke kinetics and equal load sharing between motors in equivalent states, we reduce the stochastic reaction network to a one-step master equation for the binding and unbinding dynamics (parallel cluster model) and derive the rules for ensemble movement. We find that for constant…
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