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Repurposing Drugs via Network Analysis: Opportunities for Psychiatric Disorders

期刊

PHARMACEUTICS
卷 14, 期 7, 页码 -

出版社

MDPI
DOI: 10.3390/pharmaceutics14071464

关键词

network analysis; drug repurposing; psychiatric disorders; medications; psychiatry; drug discovery; mental disorders

资金

  1. National Health and Medical Research Council (NHMRC) [1078928]
  2. Centre of Research Excellence [1153607]

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Drug repurposing is a crucial approach in treating psychiatric disorders, offering a more efficient, cost-effective, and less risky alternative to de novo drug discovery. Network-based drug repurposing methods provide a potential avenue for understanding multiple domains of knowledge and discovering repurposing candidates for complex psychiatric disorders.
Despite advances in pharmacology and neuroscience, the path to new medications for psychiatric disorders largely remains stagnated. Drug repurposing offers a more efficient pathway compared with de novo drug discovery with lower cost and less risk. Various computational approaches have been applied to mine the vast amount of biomedical data generated over recent decades. Among these methods, network-based drug repurposing stands out as a potent tool for the comprehension of multiple domains of knowledge considering the interactions or associations of various factors. Aligned well with the poly-pharmacology paradigm shift in drug discovery, network-based approaches offer great opportunities to discover repurposing candidates for complex psychiatric disorders. In this review, we present the potential of network-based drug repurposing in psychiatry focusing on the incentives for using network-centric repurposing, major network-based repurposing strategies and data resources, applications in psychiatry and challenges of network-based drug repurposing. This review aims to provide readers with an update on network-based drug repurposing in psychiatry. We expect the repurposing approach to become a pivotal tool in the coming years to battle debilitating psychiatric disorders.

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