Optimal control of gene regulatory networks with effectiveness of multiple drugs: a boolean network approach.
Developing control theory of gene regulatory networks is one of the significant topics in the field of systems biology, and it is expected to apply the obtained results to gene therapy technologies in the future. In this paper, a control method using a Boolean network (BN) is studied. A BN is widely...
| Publicado en: | BioMed Research International Vol. 2013; pp. 246761 - 246762 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104097760&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104097760 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104097760 2012307726 NLM24058904 PMC3763581 104097760 ppf: 246761 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Optimal control of gene regulatory networks with effectiveness of multiple drugs: a boolean network approach. aug: au: Kobayashi, Koichi Hiraishi, Kunihiko affil: School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa 923-1292, Japan. sug: subj: Bioinformatics Methods Molecular Structure Drugs Metabolism Apoptosis Models, Biological Signal Transduction Glycoproteins Metabolism ab: Developing control theory of gene regulatory networks is one of the significant topics in the field of systems biology, and it is expected to apply the obtained results to gene therapy technologies in the future. In this paper, a control method using a Boolean network (BN) is studied. A BN is widely used as a model of gene regulatory networks, and gene expression is expressed by a binary value (0 or 1). In the control problem, we assume that the concentration level of a part of genes is arbitrarily determined as the control input. However, there are cases that no gene satisfying this assumption exists, and it is important to consider structural control via external stimuli. Furthermore, these controls are realized by multiple drugs, and it is also important to consider multiple effects such as duration of effect and side effects. In this paper, we propose a BN model with two types of the control inputs and an optimal control method with duration of drug effectiveness. First, a BN model and duration of drug effectiveness are discussed. Next, the optimal control problem is formulated and is reduced to an integer linear programming problem. Finally, numerical simulations are shown. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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