Overfit deep neural network for predicting drug-target interactions

Drug-target interactions (DTIs) prediction is an important step in drug discovery. As traditional biological experiments or high-throughput screening are high cost and time-consuming, many deep learning models have been developed. Overfitting must be avoided when training deep learning models. We pr...

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Detalles Bibliográficos
Autores principales: Xiaolin, Xiao, Xiaozhi, Liu, Guoping, He, Hongwei, Liu, Jinkuo, Guo, Xiyun, Bian, Zhen, Tian, Xiaofang, Ma, Yanxia, Li, Na, Xue, Chunyan, Zhang, Rui, Gao, Kuan, Wang, Cheng, Zhang, Cuancuan, Wang, Mingyong, Liu, Xinping, Du
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480310/
https://www.ncbi.nlm.nih.gov/pubmed/37680476
http://dx.doi.org/10.1016/j.isci.2023.107646

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480310/
https://www.ncbi.nlm.nih.gov/pubmed/37680476
http://dx.doi.org/10.1016/j.isci.2023.107646

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