About Alyaa M Mohamed Alyaa M Mohamed Ph.D., Bioscience metabolic modeling high-throughput/NGS data data integration Alyaa M Mohamed obtained her Ph.D. degree under the co-supervision of Prof. Xin Gao at Structural and Functional Bioinformatics Group and Prof. Takashi Gojobori at King Abdullah University of Science and Technology (KAUST). Currently, Alyaa is a Postdoc Fellow at University of Calgary, Canada. Research Interests Genome-scale metabolic modeling, Gene expression analysis, Constraint-based modeling. Education Profile Ph.D. in Bioscience, King Abdullah University of Science and Technology, Saudi Arabia, 2012-2018. M.Sc. in Pharmacology, German University in Cairo, Egypt, 2010. B.Sc. in Pharmacy Events Presented Events Nov 25 - Dec 1, 2018 AI4GH - 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 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. 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.
AI4GH - 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 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.
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.
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