Optimization of binding affinities in chemical space with generative pretrained transformer and deep reinforcement learning

1 code implementation • F1000Research 2023 • Xiaopeng Xu, Juexiao Zhou, Chen Zhu, Qing Zhan, Zhongxiao Li, Ruochi Zhang, Yu Wang, Xingyu Liao, Xin Gao

The SGPT-RL method achieved better results than Reinvent on the ACE2 task, where molecular docking was used as the optimization goal.

Drug Discovery Molecular Docking

Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare

1 code implementation • 20 Feb 2023 • Juexiao Zhou, Haoyang Li, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou, Xin Gao

Revoking personal private data is one of the basic human rights, which has already been sheltered by several privacy-preserving laws in many countries.

Privacy Preserving

Deep learning in bioinformatics: introduction, application, and perspective in big data era

1 code implementation • 28 Feb 2019 • Yu Li, Chao Huang, Lizhong Ding, Zhongxiao Li, Yijie Pan, Xin Gao

Deep learning, which is especially formidable in handling big data, has achieved great success in various fields, including bioinformatics.

SupportNet: solving catastrophic forgetting in class incremental learning with support data

1 code implementation • 8 Jun 2018 • Yu Li, Zhongxiao Li, Lizhong Ding, Yijie Pan, Chao Huang, Yuhui Hu, Wei Chen, Xin Gao

A plain well-trained deep learning model often does not have the ability to learn new knowledge without forgetting the previously learned knowledge, which is known as catastrophic forgetting.

Class Incremental Learning Incremental Learning