32 citations · 149 across the 19 of their papers we have counts for
9 papers · 1 filter
Automated Classification of Homeostasis Structure in Input-Output Networks
Xinni Lin, Fernando Antoneli, Yangyang Wang
Homeostasis is widely observed in biological systems and refers to their ability to maintain an output quantity approximately constant despite variations in external disturbances.…
Homeostasis in Input-Output Networks: Structure, Classification and Applications
Fernando Antoneli, Martin Golubitsky, Jiaxin Jin +1
Homeostasis is concerned with regulatory mechanisms, present in biological systems, where some specific variable is kept close to a set value as some external disturbance affects t…
Homeostasis in Gene Regulatory Networks
Fernando Antoneli, Martin Golubitsky, Jiaxin Jin +1
In this paper, we use the framework of infinitesimal homeostasis to study general design principles for the occurrence of homeostasis in gene regulatory networks. We assume that th…
Homeostatic Mechanisms in Biological Systems
Pedro P. A. Cardoso de Andrade, João L. O. Madeira, Fernando Antoneli
In this paper we investigate the homeostatic mechanism in two biologically motivated models: intracellular copper regulation and self immune recognition. The analysis is based on t…
Homeostasis in Networks with Multiple Input Nodes and Robustness in Bacterial Chemotaxis
João Luiz de Oliveira Madeira, Fernando Antoneli
A biological system achieve homeostasis when there is a regulated quantity that is maintained within a narrow range of values. Here we consider homeostasis as a phenomenon of netwo…
The Structure of Infinitesimal Homeostasis in Input-Output Networks
Yangyang Wang, Zhengyuan Huang, Fernando Antoneli +1
Homeostasis refers to a phenomenon whereby the output of a system is approximately constant on variation of an input . Homeostasis occurs frequently in biochemic…
Effective computational methods for hybrid stochastic gene networks
Guilherme C. P. Innocentini, Fernando Antoneli, Arran Hodgkinson +1
At the scale of the individual cell, protein production is a stochastic process with multiple time scales, combining quick and slow random steps with discontinuous and smooth varia…
A Model of Gene Expression Based on Random Dynamical Systems Reveals Modularity Properties of Gene Regulatory Networks
Fernando Antoneli, Renata C. Ferreira, Marcelo R. S. Briones
Here we propose a new approach to modeling gene expression based on the theory of random dynamical systems (RDS) that provides a general coupling prescription between the nodes of…
A Model for the Dynamics of Gene Networks
Fernando Antoneli, Renata C. Ferreira, Francisco Bosco +1
In this work we propose a model for gene expression based on the theory of random dynamical systems (RDS) and show that it has a "modularity property" in the following sense: given…