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dc.date.accessioned 2019-12-20T15:22:53Z
dc.date.available 2019-12-20T15:22:53Z
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/87828
dc.description.abstract A current challenge in bioinformatics is to discover how to transform particular compounds into specific products. Typically, the common approach is finding the sequence of reactions that relate the specified substrate (source) and product (target) using classical searching algorithms. However, those methods have three main limitations: difficulty in handling large amounts of reactions and compounds; absence of a step that verifies the availability of substrates; and inability to find branched pathways. In [1], we propose a novel ant colony-based algorithm for metabolic pathways synthesis. This algorithm, named Pheromone-Directed Seeker (PhDSeeker), is able to relate several compounds simultaneously by emulating the behavior of real ants while seeking a path between their colony and a source of food. The process is designed to ensure the availability of substrates for every reaction in the solution. Thus, ants explore the set of reactions on each iteration searching for possible pathways to link the compounds. After that, they share information about solutions found by each one and then perform a new search. This process is guided by a cost function that evaluates the availability of substrates, the connection between source and target, and the pathway size. en
dc.format.extent 1 es
dc.language en es
dc.subject Colony-based algorithm es
dc.subject PhDSeeker es
dc.title Metabolic pathways synthesis based on ant colony optimization en
dc.type Objeto de conferencia es
sedici.identifier.issn 2451-7585 es
sedici.creator.person Gerard, M. F. es
sedici.creator.person Stegmayer Machado, Georgina S. es
sedici.creator.person Milone, Diego H. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Resumen es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
sedici.date.exposure 2019-09
sedici.relation.event XX Simposio Argentino de Inteligencia Artificial (ASAI 2019) - JAIIO 48 (Salta) es
sedici.description.peerReview peer-review es

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Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)