Heavy path mining reveals novel protein-protein associations in the malaria parasite plasmodium falciparum
Xinran Yu, Turgay Korkmaz, Timothy Lilburn, Hong Cai, Jianying Gu, Yufeng Wang · 2014
Malaria is one of the most deadly infectious diseases in the world. The malaria burden is characterized by 207 million cases and over 627,000 deaths annually. The consistent morbidity and mortality underscore an urgent need for the development of next-generation antimalarials. In this paper, we propose a network mining approach to uncover the protein-protein associations that are implicated in important cellular processes including DNA repair, genome integrity, transcriptional regulation, and pathogenesis.