Liangzhen Zheng

According to our database, Liangzhen Zheng authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fully Flexible Molecular Alignment Enables Accurate Ligand Structure Modeling.

Zhihao Wang, Fan Zhou, Zechen Wang, Qiuyue Hu, Yong-Qiang Li, Sheng Wang, Yanjie Wei, Liangzhen Zheng, Weifeng Li, Xiangda Peng

J. Chem. Inf. Model., 2024

A new paradigm for applying deep learning to protein-ligand interaction prediction.

Zechen Wang, Sheng Wang, Yangyang Li, Jingjing Guo, Yanjie Wei, Yuguang Mu, Liangzhen Zheng, Weifeng Li

Briefings Bioinform., 2024

2023

Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design.

Hilbert Yuen In Lam, Robbe Pincket, Hao Han, Xing Er Ong, Zechen Wang, Jamie Hinks, Yanjie Wei, Weifeng Li, Liangzhen Zheng, Yuguang Mu

Nat. Mac. Intell., July, 2023

A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function.

Zechen Wang, Liangzhen Zheng, Sheng Wang, Mingzhi Lin, Zhihao Wang, Adams Wai-Kin Kong, Yuguang Mu, Yanjie Wei, Weifeng Li

Briefings Bioinform., January, 2023

2022

E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction.

Tao Shen, Zhihang Hu, Zhangzhi Peng, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li

CoRR, 2022

Improving protein-ligand docking and screening accuracies by incorporating a scoring function correction term.

Liangzhen Zheng, Jintao Meng, Kai Jiang, Haidong Lan, Zechen Wang, Mingzhi Lin, Weifeng Li, Hongwei Guo, Yanjie Wei, Yuguang Mu

Briefings Bioinform., 2022

Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation.

Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement.

Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang

CoRR, 2021

2019

Molecular Dynamics and Simulation.

Liangzhen Zheng, Amr Alhossary, Chee-Keong Kwoh, Yuguang Mu

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019