Therapies for central nervous system (CNS) diseases remain an unmet medical need. This is largely due to multiple unknown disease-modifying genes and pathways. Systems biology through network modeling has shown promise in discovering novel therapeutic targets, deciphering disease mechanisms, and suggesting drug repurposing opportunities. In this article we cover current progress in systems biology and its role, applications, and challenges in the pharmaceutical industry. We also outline a practical strategy to infer drug repositioning candidates for rare CNS diseases by describing Multiple Level Network Modeling (MLNM) analysis.
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