{"title":"Finite-time stability analysis of interacting genetic regulatory networks with spatial diffusion term","authors":"Qi Liu , Zhiqiang Lv , Chengye Zou , Hao Zhang","doi":"10.1016/j.compbiomed.2025.110585","DOIUrl":null,"url":null,"abstract":"<div><div>This paper explores the finite-time stable behavior of interacting genetic regulatory networks (GRNs) incorporating spatial diffusion terms under Dirichlet boundary conditions. We propose a coupled model of interacting GRNs and a novel Lyapunov-Krasovskii functional to analyze the dynamic evolution of interactions between the two systems. The lower bound of the time delay can be either zero or non-zero. By employing a delay partitioning approach, we derive less conservative stability criteria for the interacting systems. Finally, numerical simulations are conducted, and the trajectories of mRNA and protein concentrations are provided to validate the accuracy of the proposed criteria.</div></div>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"195 ","pages":"Article 110585"},"PeriodicalIF":7.0000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in biology and medicine","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010482525009369","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper explores the finite-time stable behavior of interacting genetic regulatory networks (GRNs) incorporating spatial diffusion terms under Dirichlet boundary conditions. We propose a coupled model of interacting GRNs and a novel Lyapunov-Krasovskii functional to analyze the dynamic evolution of interactions between the two systems. The lower bound of the time delay can be either zero or non-zero. By employing a delay partitioning approach, we derive less conservative stability criteria for the interacting systems. Finally, numerical simulations are conducted, and the trajectories of mRNA and protein concentrations are provided to validate the accuracy of the proposed criteria.
期刊介绍:
Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.