Credit: UBern/EPFL (see text for caption)
EPFL scientists have fully modeled the metabolism of the deadliest malaria parasite. The model offers unprecedented tools for developing a new generation of antimalarial therapies to overcome drug resistance. Image: Computational analysis of the malaria parasites' metabolism aids in the understanding of observed phenotypes. Red fluorescent Plasmodium berghei parasites infect green fluorescent erythrocytes of mouse. Credit: V. Heussler (University of Bern; fluorescent malaria parasites)/ K.C. Soh M, L. Miskovic (EPFL; metabolic network)/ V. Hatzimanikatis, A. Chiappino-Pepe (EPFL; composite image) Many of the malaria parasites develop resistance to drugs. A promising strategy is to target the parasite's metabolism, but it has proven very complicated to connect to their genetics. EPFL scientists have now developed the first ever mathematical model of a malaria parasite that accurately integrates its genetics and metabolism, opening a whole new way of treating the disease.
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