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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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