ToxoNet: A high confidence map of protein-protein interactions in Toxoplasma gondii.

ABSTRACT: The apicomplexan intracellular parasite Toxoplasma gondii is a major food borne pathogen that is highly prevalent in the global population. The majority of the T. gondii proteome remains uncharacterized and the organization of proteins into complexes is unclear. To overcome this knowledge gap, we used a biochemical fractionation strategy to predict interactions by correlation profiling. To overcome the deficit of high-quality training data in non-model organisms, we complemented a supervised machine learning strategy, with an unsupervised approach, based on similarity network fusion. The resulting combined high confidence network, ToxoNet, comprises 2,063 interactions connecting 652 proteins. Clustering identifies 93 protein complexes. We identified clusters enriched in mitochondrial machi

SUBMITTER: Swapna LS 

PROVIDER: S-EPMC11219001 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature