Integrative Computational Framework for Understanding Metabolic Modulation in Leishmania.

ABSTRACT: Background: The integration of computational and mathematical approaches is used to provide a key insight into the biological systems. Through systems biology approaches we seek to find detailed and more robust information on Leishmanial metabolic network. Forman/Forman-Ricci curvature measures were applied to identify important nodes in the network(s). This was followed by flux balance analysis (FBA) to decipher important drug targets. Results: Our results revealed several key high curvature nodes (metabolites) belonging to common yet crucial metabolic networks, thus, maintaining the integrity of the network which signifies its robustness. Further analysis revealed the presence of some of these metabolites, MGO, in redox metabolism of the parasite. Being a component i

SUBMITTER: Chauhan N 

PROVIDER: S-EPMC6877600 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature