TranGRU: focusing on both the local and global information of molecules for molecular property prediction

Molecular property prediction is an essential but challenging task in drug discovery. The recurrent neural network (RNN) and Transformer are the mainstream methods for sequence modeling, and both have been successfully applied independently for molecular property prediction. As the local information...

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Detalles Bibliográficos
Autores principales: Jiang, Jing, Zhang, Ruisheng, Ma, Jun, Liu, Yunwu, Yang, Enjie, Du, Shikang, Zhao, Zhili, Yuan, Yongna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9662124/
https://www.ncbi.nlm.nih.gov/pubmed/36405344
http://dx.doi.org/10.1007/s10489-022-04280-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9662124/
https://www.ncbi.nlm.nih.gov/pubmed/36405344
http://dx.doi.org/10.1007/s10489-022-04280-y

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