DPSP: a multimodal deep learning framework for polypharmacy side effects prediction

MOTIVATION: Because unanticipated drug–drug interactions (DDIs) can result in severe bodily harm, identifying the adverse effects of polypharmacy is one of the most important tasks in human health. Over the past few decades, computational methods for predicting the adverse effects of polypharmacy ha...

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Detalles Bibliográficos
Autores principales: Masumshah, Raziyeh, Eslahchi, Changiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493180/
https://www.ncbi.nlm.nih.gov/pubmed/37701676
http://dx.doi.org/10.1093/bioadv/vbad110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493180/
https://www.ncbi.nlm.nih.gov/pubmed/37701676
http://dx.doi.org/10.1093/bioadv/vbad110

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