HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network

BACKGROUND: In research on new drug discovery, the traditional wet experiment has a long period. Predicting drug–target interaction (DTI) in silico can greatly narrow the scope of search of candidate medications. Excellent algorithm model may be more effective in revealing the potential connection b...

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Detalles Bibliográficos
Autores principales: Yu, Liyi, Qiu, Wangren, Lin, Weizhong, Cheng, Xiang, Xiao, Xuan, Dai, Jiexia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004085/
https://www.ncbi.nlm.nih.gov/pubmed/35413800
http://dx.doi.org/10.1186/s12859-022-04655-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004085/
https://www.ncbi.nlm.nih.gov/pubmed/35413800
http://dx.doi.org/10.1186/s12859-022-04655-5

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