Prediction of drug efficacy from transcriptional profiles with deep learning-Reference-Cited by-同舟云学术

Prediction of drug efficacy from transcriptional profiles with deep learning

Published:2021-06-17 Issue:11 Volume:39 Page:1444-1452
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Zhu Jie^ORCID,Wang Jingxiang,Wang Xin,Gao Mingjing,Guo Bingbing,Gao Miaomiao,Liu Jiarui,Yu Yanqiu,Wang Liang,Kong Weikaixin^ORCID,An Yongpan,Liu Zurui,Sun Xinpei^ORCID,Huang Zhuo^ORCID,Zhou Hong,Zhang Ning,Zheng Ruimao,Xie Zhengwei^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://www.nature.com/articles/s41587-021-00946-z.pdf

Reference45 articles.

1. Kong, W. et al. Prediction and optimization of NaV1.7 sodium channel inhibitors based on machine learning and simulated annealing. J. Chem. Inf. Model. 60, 2739–2753 (2020).

2. Lyu, J. et al. Ultra-large library docking for discovering new chemotypes. Nature 566, 224–229 (2019).

3. Segler, M. H. S., Preuss, M. & Waller, M. P. Planning chemical syntheses with deep neural networks and symbolic AI. Nature 555, 604–610 (2018).

4. Xu, Y. et al. Deep learning for drug-induced liver injury. J. Chem. Inf. Model. 55, 2085–2093 (2015).

5. Zhavoronkov, A. et al. Deep learning enables rapid identification of potent DDR1 kinase inhibitors. Nat. Biotechnol. 37, 1038–1040 (2019).

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