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Paper   IPM / Biological Sciences / 17784
School of Biological Sciences
  Title:   MiRAGE: Mining Relationships for Advanced Generative Evaluation in Drug Repositioning
  Author(s): 
1.  Aria Hassanali Aragh
2.  Pegah Givehchian
3.  Raziyeh Moslemi Amirani
4.  Raziyeh Masumshah
5.  Changiz Eslahchi
  Status:   Published
  Journal: Briefings in Bioinformatics
  Year:  2024
  Supported by:  IPM
  Abstract:
Drug repositioning, the identification of new therapeutic uses for existing drugs, is crucial for accelerating drug discovery and reducing development costs. Some methods rely on heterogeneous networks, which may not fully capture the complex relationships between drugs and diseases. However, integrating diverse biological data sources offers promise for discovering new drug-disease associations (DDAs). Previous evidence indicates that the combination of information would be conducive to the discovery of new DDAs. However, the challenge lies in effectively integrating different biological data sources to identify the most effective drugs for a certain disease based on drug-disease coupled mechanisms.

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