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. Here the authors present a deep neural network model - DeepPROTACs - for predicting the degradation capacity of a proposed PROTAC molecule.

Bibliographic Details
Main Authors: Fenglei Li, Qiaoyu Hu, Xianglei Zhang, Renhong Sun, Zhuanghua Liu, Sanan Wu, Siyuan Tian, Xinyue Ma, Zhizhuo Dai, Xiaobao Yang, Shenghua Gao, Fang Bai
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-34807-3