DoubleSG-DTA: Deep Learning for Drug Discovery: Case Study on the Non-Small Cell Lung Cancer with EGFR(T790M) Mutation

Drug–targeted therapies are promising approaches to treating tumors, and research on receptor–ligand interactions for discovering high-affinity targeted drugs has been accelerating drug development. This study presents a mechanism-driven deep learning-based computational model to learn double drug s...

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Detalles Bibliográficos
Autores principales: Qian, Yongtao, Ni, Wanxing, Xianyu, Xingxing, Tao, Liang, Wang, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965659/
https://www.ncbi.nlm.nih.gov/pubmed/36839996
http://dx.doi.org/10.3390/pharmaceutics15020675

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965659/
https://www.ncbi.nlm.nih.gov/pubmed/36839996
http://dx.doi.org/10.3390/pharmaceutics15020675

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