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20052026
most citedStochastic modelling of reaction-diffusion processes: algorithms for bimolecular reactions

299 citations · 1k across the 57 of their papers we have counts for

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q-bio.MN2018

Noise-induced Mixing and Multimodality in Reaction Networks

Tomislav Plesa, Radek Erban, Hans G. Othmer

We analyze a class of chemical reaction networks under mass-action kinetics and involving multiple time-scales, whose deterministic and stochastic models display qualitative differ…

q-bio.MN2017★ 2 cited

Noise Control for DNA Computing

Tomislav Plesa, Konstantinos C. Zygalakis, David F. Anderson +1

Synthetic biology is a growing interdisciplinary field, with far-reaching applications, which aims to design biochemical systems that behave in a desired manner. With the advanceme…

q-bio.MN2016

Test Models for Statistical Inference: Two-Dimensional Reaction Systems Displaying Limit Cycle Bifurcations and Bistability

Tomislav Plesa, Tomas Vejchodsky, Radek Erban

Theoretical results regarding two-dimensional ordinary-differential equations (ODEs) with second-degree polynomial right-hand sides are summarized, with an emphasis on limit cycles…

q-bio.MN2015★ 47 cited

Hybrid framework for the simulation of stochastic chemical kinetics

Andrew Duncan, Radek Erban, Konstantinos Zygalakis

Stochasticity plays a fundamental role in various biochemical processes, such as cell regulatory networks and enzyme cascades. Isothermal, well-mixed systems can be modelled as Mar…

q-bio.MN2014★ 1 cited

Parameter estimation and bifurcation analysis of stochastic models of gene regulatory networks: tensor-structured methods

Shuohao Liao, Tomas Vejchodsky, Radek Erban

Stochastic modelling provides an indispensable tool for understanding how random events at the molecular level influence cellular functions. In practice, the common challenge is to…