Evidence map›Paper›PMID 36277836›Full record

ArticleRoyal Society open science2022

A theoretical framework to analyse the flow of particles in a dynamical system with stochastic transition rates and site capacities.

Aditi Jain, Arun Kumar, Arvind Kumar Gupta

Abstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Aditi JainDepartment of Mathematics, Indian Institute of Technology Ropar, Rupnagar, 140001 Punjab, India.
Arun KumarDepartment of Mathematics, Indian Institute of Technology Ropar, Rupnagar, 140001 Punjab, India.
Arvind Kumar GuptaDepartment of Mathematics, Indian Institute of Technology Ropar, Rupnagar, 140001 Punjab, India.ORCID 0000-0001-6671-6747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study the stochasticity in a dynamical model: ribosome flow model with different site sizes that models the unidirectional movement of particles controlled by transition rates along a lattice having different site sizes. Our work models the parameters as random variables with known distributions and investigates the steady-state flow rate under this notion by using tools from the random matrix theory. Some closed-form theoretical results are derived for the steady-state flow rate under some restrictive assumptions such as random variables being independent and identically distributed. Furthermore, for arbitrary but bounded stochastic transition rates, stochastic site capacities, or both, we establish bounds for the steady-state flow rate. Our analysis can be generalized and applied to study the flow of particles in numerous transport systems in the stochastic environment.

Indexed as

random matrix theoryrandom variablesribosome flow model with different site sizesstochasticity

Identifiers

PMID36277836
PMCPMC9579774

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.