Life Sciences Commons^™

Using Artificial Intelligence To Decipher Epigenetic Code Of Drug Resistance In The Deadliest Human Malaria Parasite, Samira Jahangiri

USF Tampa Graduate Theses and Dissertations

Malaria remains one of the immense global public health challenges, with an estimated ~200 million cases worldwide in 2019 despite the remarkable gains in reducing this deadly disease over the past decade. The recent emergence and spread of artemisinin resistance (ART-R) in Plasmodium falciparum will increasingly impede global efforts to control and eliminate malaria. Previous studies have observed broad transcriptional changes and identified several noncoding genetic variants strongly associated with ART-R. The broad transcriptional variations suggest that the malaria parasite uses sophisticated epigenetic regulation to survive under drug pressure. Therefore, evaluating the regulatory effects of noncoding-variants in malaria parasites is …