MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning

The joint use of multiple drugs may cause unintended drug-drug interactions (DDIs) and result in adverse consequence to the patients. Accurate identification of DDI types can not only provide hints to avoid these accidental events, but also elaborate the underlying mechanisms by how DDIs occur. Seve...

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Detalles Bibliográficos
Autores principales: Lin, Shenggeng, Chen, Weizhi, Chen, Gengwang, Zhou, Songchi, Wei, Dong-Qing, Xiong, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667597/
https://www.ncbi.nlm.nih.gov/pubmed/36380384
http://dx.doi.org/10.1186/s13321-022-00659-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667597/
https://www.ncbi.nlm.nih.gov/pubmed/36380384
http://dx.doi.org/10.1186/s13321-022-00659-8

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