Novel deep learning model for more accurate prediction of drug-drug interaction effects

BACKGROUND: Predicting the effect of drug-drug interactions (DDIs) precisely is important for safer and more effective drug co-prescription. Many computational approaches to predict the effect of DDIs have been proposed, with the aim of reducing the effort of identifying these interactions in vivo o...

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Detalles Bibliográficos
Autores principales: Lee, Geonhee, Park, Chihyun, Ahn, Jaegyoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685287/
https://www.ncbi.nlm.nih.gov/pubmed/31387547
http://dx.doi.org/10.1186/s12859-019-3013-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685287/
https://www.ncbi.nlm.nih.gov/pubmed/31387547
http://dx.doi.org/10.1186/s12859-019-3013-0

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