{"title":"In silico design of synthetic gene network for control of gene expression","authors":"S. Mohamadabadi, M. B. Yazdi","doi":"10.1109/ICBME.2015.7404125","DOIUrl":null,"url":null,"abstract":"We consider the problem of controlling gene expression. A synthetic gene network, namely genetic controller, is designed to maintain the concentration of a target protein to a reference level, marked by the concentration of another protein. This genetic controller is implemented using a genetic comparator and a genetic toggle switch. The introduced genetic controller is a bang-bang controller that switches between two states (low or high). The notion of input-to-state stability with respect to compact sets, is used to analyze the stability of the genetic controller. Also genetic algorithm is employed to optimize the genetic controller parameters.","PeriodicalId":127657,"journal":{"name":"2015 22nd Iranian Conference on Biomedical Engineering (ICBME)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 22nd Iranian Conference on Biomedical Engineering (ICBME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBME.2015.7404125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We consider the problem of controlling gene expression. A synthetic gene network, namely genetic controller, is designed to maintain the concentration of a target protein to a reference level, marked by the concentration of another protein. This genetic controller is implemented using a genetic comparator and a genetic toggle switch. The introduced genetic controller is a bang-bang controller that switches between two states (low or high). The notion of input-to-state stability with respect to compact sets, is used to analyze the stability of the genetic controller. Also genetic algorithm is employed to optimize the genetic controller parameters.