Building protein-protein interaction networks for Leishmania species through protein structural information.

ABSTRACT: BACKGROUND:Systematic analysis of a parasite interactome is a key approach to understand different biological processes. It makes possible to elucidate disease mechanisms, to predict protein functions and to select promising targets for drug development. Currently, several approaches for protein interaction prediction for non-model species incorporate only small fractions of the entire proteomes and their interactions. Based on this perspective, this study presents an integration of computational methodologies, protein network predictions and comparative analysis of the protozoan species Leishmania braziliensis and Leishmania infantum. These parasites cause Leishmaniasis, a worldwide distributed and neglected disease, with limited treatment options using currently available drugs. RESULTS:

SUBMITTER: Dos Santos Vasconcelos CR 

PROVIDER: S-EPMC5840830 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature