RT Journal Article
T1 Drug cocktail selection for the treatment of Chagas disease : a multi-objective approach
A1 Torres, Mateo
A1 Cáceres Silva, Juan José
A1 Jiménez, Rubén
A1 Yubero Rodríguez, Víctor Andrés
A1 Vega Gómez, María Celeste
A1 Rolón, Miriam Soledad
A1 Cernuzzi, Luca Carlo
A1 Barán Cegla, Benjamín
A1 Paccanaro, Alberto
A2 Universidad Católica Nuestra Señora de la Asunción
AB 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 multiobjective 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.
YR 2017
FD 2017
LK http://hdl.handle.net/20.500.14066/2831
UL http://hdl.handle.net/20.500.14066/2831
LA eng
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 03-nov-2024