CNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks

BACKGROUND: Drug–drug interactions (DDIs) are the reactions between drugs. They are compartmentalized into three types: synergistic, antagonistic and no reaction. As a rapidly developing technology, predicting DDIs-associated events is getting more and more attention and application in drug developm...

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Detalles Bibliográficos
Autores principales: Zhang, Chengcheng, Lu, Yao, Zang, Tianyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902704/
https://www.ncbi.nlm.nih.gov/pubmed/35255808
http://dx.doi.org/10.1186/s12859-022-04612-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902704/
https://www.ncbi.nlm.nih.gov/pubmed/35255808
http://dx.doi.org/10.1186/s12859-022-04612-2

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