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Secure Next Generation Resilient Systems Lab
SENTRY
Secure Next Generation Resilient Systems Lab

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plasmodial infections

AI4GH Seminar Series - Computational Modeling of Malaria Metabolism Reveals Different Stages and Species Nutrient Preferences and Drug Targets

Alyaa M Mohamed, Ph.D., Bioscience
Nov 25, 12:00 - 13:00

B2 R5220

genome plasmodial infections

Malaria kills nearly one-half million people a year and over 1 billion people are at risk of becoming infected by the parasite. Plasmodial infections are difficult to treat for a myriad of reasons, but the ability of the organism to remain latent in hosts and the complex life cycles greatly contributed to the difficulty in treat malaria.

Secure Next Generation Resilient Systems Lab (SENTRY)

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