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. p. 1-5.

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Abstract

Chagas disease is a parasitic disease, endemic in South America. As of today, there is no effective treatment in its chronic stage. We have recently identified 134 FDA approved drugs with potential antitrypanosomal activity. In this paper, we propose a novel method for selecting combinations of drugs (drug cocktails), to provide a more effective treatment against Chagas disease. We define three measures to evaluate the predicted performance of a cocktail, establishing in this way a mathematical foundation for its analysis. This allows us to model the drug cocktail selection as a multi-objective optimisation problem, that we show can be solved efficiently with state-of-the-art evolutionary algorithms. Our analysis retrieves 57 drug cocktails containing between 2 and 6 drugs. We discuss the improvement of the cocktail selection given by our method, and the application of this approach to the identification of cocktails against other parasitic diseases.
Original languageEnglish
Title of host publicationSLIOIA - Simposio Latinoamericano de Investigación de Operaciones e Inteligencia Artificial 2017
Pages1-5
Number of pages5
ISBN (Electronic)978-1-5386-3057-0
DOIs
Publication statusPublished - 21 Dec 2017
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 28517418