DeepPROTACs is a deep learning-based targeted degradation predictor for PROTACs

The rational design of PROTACs is difficult due to their obscure structure-activity relationship. This study introduces a deep neural network model - DeepPROTACs to help design potent PROTACs molecules. It can predict the degradation capacity of a proposed PROTAC molecule based on structures of give...

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Detalles Bibliográficos
Autores principales: Li, Fenglei, Hu, Qiaoyu, Zhang, Xianglei, Sun, Renhong, Liu, Zhuanghua, Wu, Sanan, Tian, Siyuan, Ma, Xinyue, Dai, Zhizhuo, Yang, Xiaobao, Gao, Shenghua, Bai, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681730/
https://www.ncbi.nlm.nih.gov/pubmed/36414666
http://dx.doi.org/10.1038/s41467-022-34807-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681730/
https://www.ncbi.nlm.nih.gov/pubmed/36414666
http://dx.doi.org/10.1038/s41467-022-34807-3

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