Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments

摘要

With 300–500 clinical cases and 1–2 million deaths yearly, malaria contributes to enormous health care and economic burden worldwide. The advent of high throughput -omics technologies is driving new approaches to the identification of potential antimalarial targets. In this paper, we propose a neighborhood subnetwork alignment approach to uncover the network components involved in cell cycle regulation of the malaria parasite Plasmodium falciparum and to assign function to previously unannotated proteins.