Metabolic Flux Estimation Using Particle Swarm Optimization with Penalty Function.
Metabolic flux estimation through C trace experiment is crucial for quantifying the intracellular metabolic fluxes. In fact, it corresponds to a constrained optimization problem that minimizes a weighted distance between measured and simulated results. In this paper, we propose particle swarm optimi...
| Publicado en: | Biology Forum / Rivista di Biologia Vol. 102; no. 2; pp. 237 - 253 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Fabrizio Serra Editore
2009
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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=hlh&AN=47600432&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 47600432 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 18256538 M1F jtl: Biology Forum / Rivista di Biologia issn: 18256538 maglogo: N pubinfo: dt: 2009 vid: 102 iid: 2 pid: 50689 pub: Fabrizio Serra Editore artinfo: ui: 47600432 ppf: 237 ppct: 16 formats: fmt: @attributes: type: P size: 594KB tig: atl: Metabolic Flux Estimation Using Particle Swarm Optimization with Penalty Function. aug: au: Hai-Xia Long Wen-Bo Xu Jun Sun affil: School of Information Technology, Jiangnan University, No. 1800, Lihudadao Road, Wuxi, Jiangsu 214122, China su: Particle swarm optimization Corynebacterium glutamicum Glucose Metabolites Stoichiometry Statistics sug: subj: Particle swarm optimization Corynebacterium glutamicum Glucose Metabolites Stoichiometry Statistics keyword: Metabolic flux estimation particle swarm optimization penalty function ab: Metabolic flux estimation through C trace experiment is crucial for quantifying the intracellular metabolic fluxes. In fact, it corresponds to a constrained optimization problem that minimizes a weighted distance between measured and simulated results. In this paper, we propose particle swarm optimization (PSO) with penalty function to solve C-based metabolic flux estimation problem. The stoichiometric constraints are transformed to an unconstrained one, by penalizing the constraints and building a single objective function, which in turn is minimized using PSO algorithm for flux quantification. The proposed algorithm is applied to estimate the central metabolic fluxes of Corynebacterium glutamicum. From simulation results, it is shown that the proposed algorithm has superior performance and fast convergence ability when compared to other existing algorithms. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Biology Forum / Rivista di Biologia is the property of Fabrizio Serra Editore and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Biology Forum / Rivista di Biologia holder: Fabrizio Serra Editore dt: @attributes: year: 2009 holdings: @attributes: islocal: N |
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