Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments.

ABSTRACT:

Background

Malaria is a major health threat, affecting over 40% of the world's population. The latest report released by the World Health Organization estimated about 207 million cases of malaria infection, and about 627,000 deaths in 2012 alone. During the past decade, new therapeutic targets have been identified and are at various stages of characterization, thanks to the emerging omics-based technologies. However, the mechanism of malaria pathogenesis remains largely unknown. In this paper, we employ a novel neighborhood subnetwork alignment approach to identify network components that are potentially involved in pathogenesis.

Results

Our module-based subnetwork alignment approach identified 24 functional homologs of pathogenesis-related proteins in the malaria parasite P

SUBMITTER: Cai H 

PROVIDER: S-EPMC4474416 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature