Pith. sign in

REVIEW 1 cited by

Modelling cytoskeletal traffic: an interplay between passive diffusion and active transport

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1212.0437 v1 pith:3C34NVOH submitted 2012-12-03 cond-mat.stat-mech cond-mat.softnlin.CGphysics.bio-ph

classification cond-mat.stat-mechcond-mat.softnlin.CGphysics.bio-ph
keywords networktransportactiveexchangeratessegmentsstatedevelop
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We introduce the totally asymmetric exclusion process with Langmuir kinetics (TASEP-LK) on a network as a microscopic model for active motor protein transport on the cytoskeleton, immersed in the diffusive cytoplasm. We discuss how the interplay between active transport along a network and infinite diffusion in a bulk reservoir leads to a heterogeneous matter distribution on various scales. We find three regimes for steady state transport, corresponding to the scale of the network, of individual segments or local to sites. At low exchange rates strong density heterogeneities develop between different segments in the network. In this regime one has to consider the topological complexity of the whole network to describe transport. In contrast, at moderate exchange rates the transport through the network decouples, and the physics is determined by single segments and the local topology. At last, for very high exchange rates the homogeneous Langmuir process dominates the stationary state. We introduce effective rate diagrams for the network to identify these different regimes. Based on this method we develop an intuitive but generic picture of how the stationary state of excluded volume processes on complex networks can be understood in terms of the single-segment phase diagram.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Low-Rank Dependence Decomposition via Accelerated Symmetric Non-negative Matrix Factorization

    cs.LG 2026-07 conditional novelty 6.0 of 10

    Trace-reformulated SymNMF scales to n=10^6 on GPUs; five AdaGrad-family methods converge, with Block-SVRG AdaptGrow winning on flat TPDM spectra and full-batch AdaGrad on low-rank correlation spectra.

Pith tools