A systems biology approach to antimalarial drug discovery

dc.creatorCortopassi, Wilian Augusto
dc.creatorFranca, Tanos Celmar Costa
dc.creatorKrettli, Antoniana Ursine
dc.date2019-04-26T12:36:39Z
dc.date2019-04-26T12:36:39Z
dc.date2018
dc.date.accessioned2023-09-26T20:34:27Z
dc.date.available2023-09-26T20:34:27Z
dc.identifierCORTOPASSI, Wilian Augusto; FRANCA, Tanos Celmar Costa; KRETTLI, Antoniana Ursine. A systems biology approach to antimalarial drug discovery. Expert Opinion on Drug Discovery, v. 13, n. 7, p. 617-626, 2018.
dc.identifier1746-0441
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/32768
dc.identifier10.1080/17460441.2018.1471056
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8859816
dc.descriptionIntroduction: In spite of significant efforts to reduce malaria deaths, this disease still kills around 445,000 people every year. Overcoming drug resistance is one of the main goals of current malaria research programs. This is challenging, since the biology of Plasmodium is not fully understood, requiring the development of advanced models for data analysis in the search for new antimalarials. Areas covered: In this review the authors introduce the importance of computational models to address the challenges of drug discovery, presenting examples of pioneering systems biology approaches in the search for new antimalarial drugs and their role in the future of drug research programs. Other related topics are discussed, e.g. regulation of malaria pathogenesis by epigenetics and the importance of new platforms for malaria network. Expert opinion: The use of a systems biology approach in antimalarial drug discovery emerges in a scenario where the most efficient antimalarial chemotherapies are showing resistance in Southeast Asia. New models for a better understanding of Plasmodium cell function have already proved to be powerful tools for uncovering complex mechanisms of resistance, and have great potential to inform the design of novel small molecules with both high antimalarial activity and transmission-blocking potential to improve the control of malaria.
dc.formatapplication/pdf
dc.languageeng
dc.publisherTaylor & Francis
dc.rightsrestricted access
dc.subjectMalaria
dc.subjectSistemas Biológicos
dc.subjectResistência
dc.subjectBiologia Computacional
dc.subjectBioinformática
dc.subjectGenoma
dc.subjectMalaria
dc.subjectSystems Biology
dc.subjectResistance
dc.subjectComputational Biology
dc.subjectBioinformatics
dc.subjectGenome
dc.titleA systems biology approach to antimalarial drug discovery
dc.typeArticle


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