An evolutionary approach for the identification of a cocktail of drugs for the treatment of Chagas disease

dc.contributor.advisor	Paccanaro, Alberto
dc.contributor.author	Yubero Rodríguez, Víctor Andrés
dc.contributor.other	Universidad Católica "Nuestra Señora de la Asunción" (PY)	es
dc.date.accessioned	2022-04-04T22:55:16Z
dc.date.available	2022-04-04T22:55:16Z
dc.date.issued	2017
dc.identifier.uri	http://hdl.handle.net/20.500.14066/2785
dc.description.abstract	This research will focus on trying to solve the problem of a lack of effective treatments for Chagas disease once entering in its chronic phase. We will develop a computational comparative genomics approach to identify cocktails of FDA (Food and Drugs Administration) approved drugs that could potentially work for the treatment of Chagas disease. In the following section we will introduce biological concepts as well in order to understand appropriately the aim of our work.	es
dc.description.sponsorship	CONACYT – Consejo Nacional de Ciencia y Tecnología	es
dc.language.iso	eng	es
dc.subject.classification	6 Producción y tecnología industrial	es
dc.subject.other	CHAGAS	es
dc.subject.other	COCKTAIL OF DRUGS	es
dc.subject.other	COMPUTATIONAL COMPARATIVE	es
dc.subject.other	FARMACOLOGIA	es
dc.subject.other	DROGAS	es
dc.title	An evolutionary approach for the identification of a cocktail of drugs for the treatment of Chagas disease	es
dc.type	research article	es
dc.description.fundingtext	PROCIENCIA	es
dc.page.initial	1	es
dc.page.final	16	es
dc.relation.projectCONACYT	14-INV-088	es
dc.rights.accessRights	open access	es

Artículos científicos
La colección comprende artículos científicos, revisiones y artículos de conferencia que son resultados de actividades de I+D financiadas por el Programa PROCIENCIA.