Drug Cocktail Selection for the Treatment of Chagas Disease: a Multi-objective Approach. / Torres Bobadilla, Mateo; Caceres Silva, Juan; Jimenez, Rubén; Yubero, Víctor; Vega, Celeste; Rolón, Miriam; Cernuzzi, Luca; Barán, Benjamín; Paccanaro, Alberto.

SLIOIA - Simposio Latinoamericano de Investigación de Operaciones e Inteligencia Artificial 2017. 2017.

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Abstract

Chagas disease is a parasitic disease, endemic inSouth America. As of today, there is no effective treatmentin its chronic stage. We have recently identified 134 FDAapproved drugs with potential antitrypanosomal activity. Inthis paper, we propose a novel method for selecting combi-nations of drugs (drug cocktails), to provide a more effectivetreatment against Chagas disease. We define three measures toevaluate the predicted performance of a cocktail, establishingin this way a mathematical foundation for its analysis. Thisallows us to model the drug cocktail selection as a multi-objective optimisation problem, that we show can be solvedefficiently with state-of-the-art evolutionary algorithms. Ouranalysis retrieves 57 drug cocktails containing between 2 and6 drugs. We discuss the improvement of the cocktail selectiongiven by our method, and the application of this approach tothe identification of cocktails against other parasitic diseases.
Original languageEnglish
Title of host publicationSLIOIA - Simposio Latinoamericano de Investigación de Operaciones e Inteligencia Artificial 2017
DOIs
StatePublished - 21 Dec 2017
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 28517418