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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Gerard, Matias Fernando | - |
| dc.creator | Stegmayer, Georgina | - |
| dc.creator | Milone, Diego Humberto | - |
| dc.date | 2018-06-05T14:50:21Z | - |
| dc.date | 2018-06-05T14:50:21Z | - |
| dc.date | 2016-06 | - |
| dc.date | 2018-05-31T21:01:04Z | - |
| dc.date.accessioned | 2019-04-29T15:46:54Z | - |
| dc.date.available | 2019-04-29T15:46:54Z | - |
| dc.date.issued | 2016-06 | - |
| dc.identifier | Gerard, Matias Fernando; Stegmayer, Georgina; Milone, Diego Humberto; Evolutionary algorithm for metabolic pathways synthesis; Elsevier; Biosystems; 144; 6-2016; 55-67 | - |
| dc.identifier | 0303-2647 | - |
| dc.identifier | http://hdl.handle.net/11336/47309 | - |
| dc.identifier | CONICET Digital | - |
| dc.identifier | CONICET | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/301842 | - |
| dc.description | Metabolic pathway building is an active field of research, necessary to understand and manipulate the metabolism of organisms. There are different approaches, mainly based on classical search methods, to find linear sequences of reactions linking two compounds. However, an important limitation of these methods is the exponential increase of search trees when a large number of compounds and reactions is considered. Besides, such models do not take into account all substrates for each reaction during the search, leading to solutions that lack biological feasibility in many cases. This work proposes a new evolutionary algorithm that allows searching not only linear, but also branched metabolic pathways, formed by feasible reactions that relate multiple compounds simultaneously. Tests performed using several sets of reactions show that this algorithm is able to find feasible linear and branched metabolic pathways. | - |
| dc.description | Fil: Gerard, Matias Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; Argentina | - |
| dc.description | Fil: Stegmayer, Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; Argentina | - |
| dc.description | Fil: Milone, Diego Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; Argentina | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0303264716300351 | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.biosystems.2016.04.002 | - |
| dc.rights | info:eu-repo/semantics/restrictedAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.subject | EVOLUTIONARY ALGORITHMS | - |
| dc.subject | SEARCH STRATEGIES | - |
| dc.subject | DE NOVO PATHWAY BUILDING | - |
| dc.subject | REACTIONS NETWORK | - |
| dc.subject | SETS OF COMPOUNDS | - |
| dc.subject | Ciencias de la Computación | - |
| dc.subject | Ciencias de la Computación e Información | - |
| dc.subject | CIENCIAS NATURALES Y EXACTAS | - |
| dc.title | Evolutionary algorithm for metabolic pathways synthesis | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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