MRDDA: a multi-relational graph neural network for drug–disease association prediction

Abstract Background Drug repositioning offers a promising avenue for accelerating drug development and reducing costs. Recently, computational repositioning approaches have gained attraction for identifying potential drug-disease associations (DDAs). Biological entities such as drugs, genes, protein...

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Autors principals:	Congzhou Chen, Yaozheng Zhou, Yinghong Li, Jin Xu, Demin Li, Lingfeng Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-07-01
Col·lecció:	Journal of Translational Medicine
Matèries:	Drug–disease association Drug repositioning Graph neural network Multiple relations
Accés en línia:	https://doi.org/10.1186/s12967-025-06783-x
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