Dual graph convolutional neural network for predicting chemical networks

BACKGROUND: Predicting of chemical compounds is one of the fundamental tasks in bioinformatics and chemoinformatics, because it contributes to various applications in metabolic engineering and drug discovery. The recent rapid growth of the amount of available data has enabled applications of computa...

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Detalles Bibliográficos
Autores principales: Harada, Shonosuke, Akita, Hirotaka, Tsubaki, Masashi, Baba, Yukino, Takigawa, Ichigaku, Yamanishi, Yoshihiro, Kashima, Hisashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178944/
https://www.ncbi.nlm.nih.gov/pubmed/32321421
http://dx.doi.org/10.1186/s12859-020-3378-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178944/
https://www.ncbi.nlm.nih.gov/pubmed/32321421
http://dx.doi.org/10.1186/s12859-020-3378-0

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