Using a genome-scale metabolic network model to elucidate the mechanism of chloroquine action in Plasmodium falciparum.

ABSTRACT: Chloroquine, long the default first-line treatment against malaria, is now abandoned in large parts of the world because of widespread drug-resistance in Plasmodium falciparum. In spite of its importance as a cost-effective and efficient drug, a coherent understanding of the cellular mechanisms affected by chloroquine and how they influence the fitness and survival of the parasite remains elusive. Here, we used a systems biology approach to integrate genome-scale transcriptomics to map out the effects of chloroquine, identify targeted metabolic pathways, and translate these findings into mechanistic insights. Specifically, we first developed a method that integrates transcriptomic and metabolomic data, which we independently validated against a recently published set of such data for Krebs

SUBMITTER: Tewari SG 

PROVIDER: S-EPMC5376308 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature