DOAJ Open Access 2022

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

Fenglei Li Qiaoyu Hu Xianglei Zhang Renhong Sun Zhuanghua Liu +7 lainnya

Abstrak

The rational design of PROTACs is difficult due to their obscure structure-activity relationship. Here the authors present a deep neural network model - DeepPROTACs - for predicting the degradation capacity of a proposed PROTAC molecule.

Topik & Kata Kunci

Penulis (12)

F

Fenglei Li

Q

Qiaoyu Hu

X

Xianglei Zhang

R

Renhong Sun

Z

Zhuanghua Liu

S

Sanan Wu

S

Siyuan Tian

X

Xinyue Ma

Z

Zhizhuo Dai

X

Xiaobao Yang

S

Shenghua Gao

F

Fang Bai

Format Sitasi

Li, F., Hu, Q., Zhang, X., Sun, R., Liu, Z., Wu, S. et al. (2022). DeepPROTACs is a deep learning-based targeted degradation predictor for PROTACs. https://doi.org/10.1038/s41467-022-34807-3

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Lihat di Sumber doi.org/10.1038/s41467-022-34807-3
Informasi Jurnal
Tahun Terbit
2022
Sumber Database
DOAJ
DOI
10.1038/s41467-022-34807-3
Akses
Open Access ✓