Performance scaling and trade-offs for collective motor-driven transport

Motor-driven intracellular transport of organelles, vesicles, and other molecular cargo is a highly collective process. An individual cargo is often pulled by a team of transport motors, with numbers ranging from only a few to several hundred. We explore the behavior of these systems using a stochas...

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Bibliographic Details
Published in:arXiv.org 2022-01
Main Authors: Leighton, Matthew P, Sivak, David A
Format: Article
Language:English
Subjects:
Business metrics
Cargo
Energy flow
Exact solutions
Organelles
Performance measurement
Scaling laws
Stochastic models
Tradeoffs
Online Access:Get full text
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Summary:Motor-driven intracellular transport of organelles, vesicles, and other molecular cargo is a highly collective process. An individual cargo is often pulled by a team of transport motors, with numbers ranging from only a few to several hundred. We explore the behavior of these systems using a stochastic model for transport of molecular cargo by an arbitrary number N of motors obeying linear Langevin dynamics, finding analytic solutions for the N-dependence of the velocity, precision of forward progress, energy flows between different system components, and efficiency. In two opposing regimes, we show that these properties obey simple scaling laws with N. Finally, we explore trade-offs between performance metrics as N is varied, providing insight into how different numbers of motors might be well-matched to distinct contexts where different performance metrics are prioritized.
ISSN:2331-8422
DOI:10.48550/arxiv.2108.13893